* L- and X-Band Multi-Temporal InSAR Analysis of Tianjin Subsidence

* L-(2) Polynomial Spline Pyramid, The

* L-3 Communications

* L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval

* L-Band Polarimetric Target Decomposition of Mangroves of the Rufiji Delta, Tanzania

* L-Band Radio-Frequency Interference Observations During the SMAP Validation Experiment 2012

* L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark

* l-DBSCAN: A Fast Hybrid Density Based Clustering Method

* L-GEM based robust learning against poisoning attack

* L-inf Norm Based Second Generation Image Coding

* L-inf to Structure and Motion Problems in 1D-Vision, An

* L-Infinity-coding of images: a confidence interval criterion

* L-infinity Constrained High-Fidelity Image Compression via Adaptive Context Modeling

* L-M-S Filters for Image Restoration Applications

* L 1 Generalized Procrustes 2D Shape Alignment

* L and VHF Band Airborne SAR. System Features and Comparative Image Analysis

* L infinity total generalized variation for color image recovery

* L(2) Kernel Classification

* L.U.N.A. Ads: Sustaining Wireless Access for Mobile Users

* L/M-fold image resizing in block-DCT domain using symmetric convolution

* L^1 Control Theoretic Smoothing Splines

* L_0-Norm Sparse Hyperspectral Unmixing Using Arctan Smoothing

* L_0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images, The

* L_1/2-Regularized Deconvolution Network for the Representation and Restoration of Optical Remote Sensing Images

* L_1/2 regularized low-rank representation for hyperspectral imagery classification, An

* L_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing

* L_2-Stable Nonstandard Finite Differences for Anisotropic Diffusion

* L_2 Optimized Predictive Image Coding With L_inf Bound

* L_2 Restoration of L_inf -Decoded Images Via Soft-Decision Estimation

* L_inf Norm Based Solution for Visual Odometry

* L_p-Norm IDF for Scalable Image Retrieval

* L_p Norm Localized Multiple Kernel Learning via Semi-Definite Programming

* L0-Norm-Based Sparse Representation Through Alternate Projections

* L0-Norm and Total Variation for Wavelet Inpainting

* L0-norm based structural sparse least square regression for feature selection

* L0-norm sparse representation based on modified genetic algorithm for face recognition

* L0-Regularized Object Representation for Visual Tracking

* L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence

* L0 Regularized Stationary Time Estimation for Crowd Group Analysis

* L1-based variational model for Retinex theory and its application to medical images, An

* L1-fusion: Robust linear-time image recovery from few severely corrupted copies

* L1-Grassmann manifolds for robust face recognition

* L1-L2 Optimization in Signal and Image Processing

* L1-Norm-Based 2DPCA

* L1-norm-based principal component analysis with adaptive regularization

* L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso

* L1-Norm Based Linear Discriminant Analysis: An Application to Face Recognition

* L1-norm global geometric consistency for partial-duplicate image retrieval

* L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings, A

* L1 Identity Solutions

* L1 matting

* L1 minimization algorithm for non-smooth regularization in image processing, An

* L1 norm based KPCA for novelty detection

* L1 regularized projection pursuit for additive model learning

* L1 rotation averaging using the Weiszfeld algorithm

* L1/2,1 group sparse regularization for compressive sensing

* l2-norm-based prior for haze-removal from single image

* L2-Norm metric learning applied to unconstrained face pair-matching

* L2-RLS-Based Object Tracking

* L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry

* L2 approximation for efficient deformable surface 3D tracking

* L2 restoration of L_inf-decoded images with context modeling

* l2, 1 Regularized correntropy for robust feature selection

* L2,1-based regression and prediction accumulation across views for robust facial landmark detection

* L2,1-norm-based unsupervised optimal feature selection with applications to action recognition, The

* Laas Geel (Somaliland): 5000 Year-Old Paintings Captured in 3D

* Laban descriptors for gesture recognition and emotional analysis

* Labanotation Based Ontology for Representing Dance Movement, A

* Label-Denoising Auto-encoder for Classification with Inaccurate Supervision Information

* Label-Embedding for Attribute-Based Classification

* Label-Embedding for Image Classification

* Label-noise reduction with support vector machines

* Label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics

* Label Consistent Fisher Vectors for Supervised Feature Aggregation

* Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition

* Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation

* Label Consistent Quadratic Surrogate model for visual saliency prediction

* Label Detection and Recognition for USPTO Images Using Convolutional K-Means Feature Quantization and Ada-Boost

* Label diagnosis through self tuning for web image search

* Label embedding for text recognition

* Label Embedding: A Frugal Baseline for Text Recognition

* Label Error Process for Discrete Relaxation, A

* Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation, A

* Label Fusion for Multi-atlas Segmentation Based on Majority Voting

* Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)

* Label Image Constrained Multiatlas Selection

* Label Inspection using the Hough Transform on Transputer Networks

* Label localization by appearance guided graph inferring

* Label propagation based supervised locality projection analysis for plant leaf classification

* Label Propagation for Large Scale 3D Indoor Scenes

* Label Propagation from ImageNet to 3D Point Clouds

* Label propagation hashing based on p-stable distribution and coordinate descent

* Label propagation in complex video sequences using semi-supervised learning

* Label propagation in video sequences

* Label propagation on data with multiple representations through multi-graph locality preserving projections

* Label propagation through minimax paths for scalable semi-supervised learning

* Label set perturbation for MRF based neuroimaging segmentation

* Label Space: A Multi-object Shape Representation

* Label Transfer by Measuring Compactness

* Label transfer via sparse representation

* Label transition and selection pruning and automatic decoding parameter optimization for time-synchronous Viterbi decoding

* Labeled bunch graphs for image analysis

* Labeled faces in the wild: A database for studying face recognition in unconstrained environments

* Labeled Graph Kernel for Behavior Analysis

* Labeled Graphs and Dynamic Link Matching for Face Recognition and Scene Analysis

* Labeled Multi-Bernoulli SLAM Filter, The

* Labeled Point Pattern Matching by Delaunay Triangulation and Maximal Cliques

* Labeled Point Pattern Matching by Fuzzy Relaxation

* Labelfaces: Parsing facial features by multiclass labeling with an epitome prior

* Labeling abnormalities in video based complex Human-Object Interactions by robust affordance modelling

* Labeling board based on boundary tracking

* Labeling Complete Surfaces in Scene Understanding

* Labeling Connected Components on a Massively Parallel Tree Machine

* Labeling Evaluation in Probabilistic Networks

* Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes

* Labeling Image Patches by Boosting based Median Classifier

* Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling

* Labeling Irregular Graphs with Belief Propagation

* Labeling of Clusters Based on Critical Analysis of Texture Measures

* Labeling of Curvilinear Structure Across Scales by Token Grouping

* Labeling of Human Face Components from Range Data

* Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model

* Labeling of MR brain images using Boolean neural network

* Labeling Perspective Projections of Origami Scenes

* Labeling Schemata and Syntactic Descriptions of Pictures

* Labeling Spain With Stanford

* Labeling Still Image Databases Using Graphical Models

* Labeling Update of Segmented Images using Conceptual Graphs and Dempster-Shafer Theory of Evidence

* Labelled Cell Classifier: A Fast Approximation to k Nearest Neighbors, The

* Labelling 2-D Geometric Primitives Using Probabilistic Relaxation: Reducing the Computational Requirements

* Labelling color images by modelling the colors density using a linear combination of Gaussians and EM algorithm

* Labelling Line Drawings of Curved Objects

* Labelling logical structures of document images using a dynamic perceptive neural network

* Labelling Of Three Dimensional Human Body Scans: A Topological Approach

* Labelling strategies for hierarchical multi-label classification techniques

* Labelling the Behaviour of Local Descriptors for Selective Video Content Retrieval

* LabelMe video: Building a video database with human annotations

* LabelMe: A Database and Web-Based Tool for Image Annotation

* LabelMe: Online Image Annotation and Applications

* Labelset anchored subspace ensemble (LASE) for multi-label annotation

* LableMe: The Open Annotation Tool

* Laboratoire d'informatique Gaspard-Monge

* Laboratoire MATIS

* Laboratory calibration of backscattered intensity for laser scanning land targets

* Laboratory Environment for Applications Oriented Vision and Manipulation, A

* Laboratory Flume Experiment with a Coded Structured Light System

* Laboratory Measurement of the DInSAR Response to Spatiotemporal Variations in Soil Moisture

* laboratory of neuro imaging: What it is, why it is, and how it came to be, The

* Laboratory Robotics and Automation

* Laboratory Salinization of Brazilian Alluvial Soils and the Spectral Effects of Gypsum

* Laboratory Self-calibration of a Multi-Band Sensor

* LACBoost and FisherBoost: Optimally Building Cascade Classifiers

* Lack-of-fit detection using the run-distribution test

* Lacunarity Analysis on Image Patterns for Texture Classification

* Lacunarity Based Estimator for the Analysis of Cell Nuclei from the Papanicolaou Smears

* lacunarity of colour fractal images, The

* LADAR Scene Description Using Fuzzy Morphology and Rules

* LADAR Target Detection Using Morphological Shared-Weight Neural Networks

* Ladder-Structured Decision Tree for Recognizing Tumors in Chest Radiographs, A

* LAFTER: a real-time face and lips tracker with facial expression recognition

* LAFTER: Lips and Face Real Time Tracker

* Lagrange Multiplier Selection for 3-D Wavelet Based Scalable Video Coding

* Lagrange Multiplier Selection in Hybrid Video Coder Control

* Lagrange multiplier selection in wavelet-based scalable video coding for quality scalability

* Lagrange wavelets for signal processing

* Lagrangian-Based Methods for Finding MAP Solutions for MRF Models

* Lagrangian Approach to Modeling and Analysis of a Crowd Dynamics, A

* Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis, A

* Lagrangian Multiplier Adaptation for Rate-Distortion Optimization With Inter-Frame Dependency

* Lagrangian multipliers and split Bregman methods for minimization problems constrained on S^(n-1)

* Lagrangian Optimization Approach to Complexity-Constrained TSVQ, A

* Lagrangian optimized rate control algorithm for the H.264/AVC encoder, A

* Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A

* LAI, Leaf Area Index, Land Cover Analysis

* lambda-Connectedness Determination for Image Segmentation

* Lambda-Domain Rate Control Algorithm for High Efficiency Video Coding

* Lambda-medial axis

* lambda-Perceptron: An adaptive classifier for data streams

* Lambda-Tau-Space Representation of Images and Generalized Edge Detector

* Lambertian Reflectance and Linear Subspaces

* Lambertian reflectance correction for rough and shiny surfaces

* Laminae-Based Feature Recognition

* laminar architecture of visual cortex and image processing technology, The

* LAMP: 3D layered, adaptive-resolution, and multi-perspective panorama: A new scene representation

* Lamp: Linear approach for matching points

* Land-Based Mobile Laser Scanning Systems: A Review

* Land-cover change detection enhanced with generalized linear models

* Land-Cover Change Monitoring with Classification Trees Using Landsat TM and Ancillary Data

* Land-cover Classification Using ASTER Multi-band Combinations Based on Wavelet Fusion and SOM Neural Network

* Land-cover Classification Using Radarsat and Landsat Imagery for St. Louis, Missouri

* Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images

* Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models

* Land-Surface Emissivity Retrieval in MSG-SEVIRI TIR Channels Using MODIS Data

* Land-Use and Land-Cover Change Detection Based on Object-Oriented Theory

* Land-Use and Land-Cover Mapping Using a Gradable Classification Method

* Land-Use Classification of Remotely Sensed Data Using Kohonen Self-Organizing Feature Map Neural Networks

* Land-Use Classification Using Taxi GPS Traces

* Land-Use Mapping in a Mixed Urban-Agricultural Arid Landscape Using Object-Based Image Analysis: A Case Study from Maricopa, Arizona

* Land-use Mapping of Valencia City Area from Aerial Images and LiDAR Data

* Land-use scene classification using multi-scale completed local binary patterns

* Land-use Spatial Optimization Model Based On Particle Swarm Optimization

* Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis

* Land-use/Land-cover Classification with Multispectral and Hyperspectral EO-1 Data

* Land classification of wavelet-compressed full-waveform LiDAR data

* Land Classification Using Remotely Sensed Data: Going Multilabel

* Land Cover Analysis, Specific Location Applications, Site Analysis, Site Specific

* Land Cover Analysis, Water Detection, Water Areas

* Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series

* Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

* Land Cover and Soil Type Mapping From Spaceborne PolSAR Data at L-Band With Probabilistic Neural Network

* Land Cover Change Analysis, Global Changes, Global Analysis

* Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis

* Land Cover Change Analysis, Seasonal, Annual Variations, Climate Change, Analysis

* Land cover change detection thresholds for Landsat data samples

* Land cover change dynamics and multi-factor analysis in high mountains basins of Colombian Andes

* Land Cover Change in the Andes of Southern Ecuador: Patterns and Drivers

* Land Cover Change Knowledge Representation Using Temporal Logic And Operation Relations

* Land Cover Change Monitoring Using Landsat MSS/TM Satellite Image Data over West Africa between 1975 and 1990

* Land Cover Characterization and Classification of Arctic Tundra Environments by Means of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery: Richards Island, Canada

* Land Cover Characterization and Mapping of South America for the Year 2010 Using Landsat 30 m Satellite Data

* Land Cover Characterization in West Sudanian Savannas Using Seasonal Features from Annual Landsat Time Series

* Land cover classification and economic assessment of citrus groves using remote sensing

* Land Cover Classification and Monitoring in Northeast Thailand Using Landsat 5 TM Data

* Land cover classification by using multi-temporal COSMO-SkyMed data

* Land Cover Classification for Polarimetric SAR Images Based on Mixture Models

* Land cover classification in fused multisensor multispectral satellite imagery

* Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images

* Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data

* Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data

* Land Cover Classification of Multi-sensor Images by Decision Fusion Using Weights of Evidence Model

* Land cover classification of polarimetric SAR images for the Yellow River Delta based on support vector machine

* Land cover classification of VHR airborne images for citrus grove identification

* Land Cover Classification Using Airborne Laser Scanning Data and Photographs

* Land Cover Classification Using Fuzzy Rules and Aggregation of Contextual Information Through Evidence Theory

* Land Cover Classification Using Local Softened Affine Hull

* Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data

* Land cover dependence in the detection of contaminated pixels in satellite optical data

* Land cover dependent derivation of Digital Surface Models from airborne laser scanning data

* Land Cover Extraction from High Resolution ZY-3 Satellite Imagery Using Ontology-Based Method

* Land Cover Heterogeneity Effects on Sub-Pixel and Per-Pixel Classifications

* Land Cover Information Extraction Using Lidar Data

* Land Cover Land Use Classification of Urban Areas: A Remote-Sensing Approach

* Land Cover Mapping Analysis and Urban Growth Modelling Using Remote Sensing Techniques in Greater Cairo Region: Egypt

* Land Cover Mapping in Southwestern China Using the HC-MMK Approach

* Land Cover Mapping of a Tropical Region by Integrating Multi-Year Data into an Annual Time Series

* Land cover mapping principles: a return to interpretation fundamentals

* Land Cover Mapping with Landsat Data: The Tasmania Case Study

* Land Cover, Land Use, General Problems, Remote Sensing

* Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012

* Land Degradation States and Trends in the Northwestern Maghreb Drylands, 1998-2008

* Land Geophysical Parameters Retrieval Using the Interference Pattern GNSS-R Technique

* Land Info

* Land Observational Sensors in Perspective

* Land Subsidence over Oilfields in the Yellow River Delta

* Land subsidence, Ground Fissures and Buried Faults: InSAR Monitoring of Ciudad Guzmán (Jalisco, Mexico)

* Land Surface Albedo Derived on a Daily Basis From Meteosat Second Generation Observations

* Land Surface Albedo Estimation from Chinese HJ Satellite Data Based on the Direct Estimation Approach

* Land surface albedo retrieval via kernel-based BRDF modeling: I. Statistical inversion method and model comparison

* Land surface albedo retrieval via kernel-based BRDF modeling: II. An optimal design scheme for the angular sampling

* Land Surface Brightness Temperature Modeling Using Solar Insolation

* Land Surface Temperature Retrieval from Landsat 8 TIRS: Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method

* Land Surface Temperature Retrieval from MODIS Data by Integrating Regression Models and the Genetic Algorithm in an Arid Region

* Land Surface Temperature Retrieval Using Airborne Hyperspectral Scanner Daytime Mid-Infrared Data

* Land Surface Water Mapping Using Multi-Scale Level Sets and a Visual Saliency Model from SAR Images

* Land Survey From Unmaned Aerial Veichle

* Land use and land cover classification base on image saliency map cooperated coding

* Land use and land cover classification over a large area in Iran based on single date analysis of satellite imagery

* Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data

* land use classification method based on region and edge information fusion, A

* Land Use/Land Cover Change Analysis Using Object-Based Classification Approach in Munessa-Shashemene Landscape of the Ethiopian Highlands

* Landcover Classification in MRF Context Using Dempster-Shafer Fusion for Multisensor Imagery

* Landmark- and Intensity-Based Registration with Large Deformations via Quasi-conformal Maps

* Landmark-Based Approach of Shape Dissimilarity, A

* Landmark-based elastic registration using approximating thin-plate splines

* Landmark-based fisher vector representation for video-based face verification

* Landmark-Based Geodesic Computation for Heuristically Driven Path Planning

* Landmark-Based Image Analysis: Using Geometric and Intensity Models

* Landmark-Based Inductive Model for Robust Discriminative Tracking

* Landmark-Based Navigation-Model Extension and Refinement

* Landmark-Based Navigation and the Acquisition of Environmental Models

* Landmark-Based Non-rigid Registration Via Graph Cuts

* Landmark-Based Robot Navigation

* Landmark-based shape deformation with topology-preserving constraints

* Landmark-Based Shape Recognition by a Modified Hopfield Neural Network

* Landmark-based sparse color representations for color transfer

* Landmark-Based Stereo Vision

* Landmark-free posture invariant human shape correspondence

* Landmark Based Facial Component Reconstruction for Recognition across Pose

* Landmark Based Global Self-localization of Mobile Soccer Robots

* Landmark based inpainting from multiple views

* Landmark classification in large-scale image collections

* Landmark Classification With Hierarchical Multi-Modal Exemplar Feature

* Landmark Identification Based on Projective and Permutation Invariant Vectors

* Landmark Image Super-Resolution by Retrieving Web Images

* Landmark Localisation in 3D Face Data

* Landmark localization on 3D/4D range data using a shape index-based statistical shape model with global and local constraints

* Landmark Matching via Large Deformation Diffeomorphisms on the Sphere

* Landmark Matching via Large Deformation Diffeomorphisms

* Landmark MDS ensemble

* Landmark Methods for Forms Without Landmarks: Localizing Group Differences in Outline Shapes

* Landmark Paper in Face Recognition, A

* Landmark Real-Time Recognition and Positioning for Pedestrian Navigation

* Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany

* Landmark recognition using invariant features

* Landmark recognition: A unary approach

* Landmark Representation of Shapes and Fisher-Rao Geometry

* Landmark Selection for Accurate Navigation

* Landmark Summarization With Diverse Viewpoints

* Landmark/image-based deformable registration of gene expression data

* Landmarks-based kernelized subspace alignment for unsupervised domain adaptation

* Landmarks-SIFT Face Representation for Gender Classification

* Landmarks inside the shape: Shape matching using image descriptors

* Landmines Ground-Penetrating Radar Signal Enhancement by Digital Filtering

* Landmines recognition system using thermovision techniques

* Landsafe: Landing Site Risk Analysis Software Framework

* Landsat-4/5 Band 6 relative radiometry

* Landsat-8 Operational Land Imager (OLI) Radiometric Performance On-Orbit

* Landsat-8 Operational Land Imager Design, Characterization and Performance

* Landsat-8 Operational Land Imager Radiometric Calibration and Stability

* Landsat-8 Sensor Characterization and Calibration

* Landsat-8 Thermal Infrared Sensor (TIRS) Vicarious Radiometric Calibration

* Landsat-Based Long-Term Monitoring of Total Suspended Matter Concentration Pattern Change in the Wet Season for Dongting Lake, China

* Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

* Landsat 4 Thematic Mapper Calibration Update

* Landsat 7 mission: Terrestrial research and applications for the 21st century, The

* Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance

* Landsat 8 Thermal Infrared Sensor Geometric Characterization and Calibration

* LANDSAT and Earth Systems Science: Development of Terrestrial Monitoring

* Landsat Application to Nautical Charting

* Landsat Digital Image Rectification System, A

* Landsat ETM+ and SRTM Data Provide Near Real-Time Monitoring of Chimpanzee (Pan troglodytes) Habitats in Africa

* Landsat Imagery Spectral Trajectories: Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance

* Landsat Legacy: Remote Sensing Policy and the Development of Commercial Remote Sensing, The

* Landsat Program: Its Origins, Evolution, and Impacts, The

* Landsat Program: Recent History and Prospects, The

* Landsat stand basal area classification suitable for automating stratification of forest into statistically efficient strata, A

* Landsat TM Satellite Image Restoration Using Kalman Filters

* Landscape-Level Associations of Wintering Waterbird Diversity and Abundance from Remotely Sensed Wetland Characteristics of Poyang Lake

* Landscape Characteristic and its Socio-Economic Drivers Based on RS/GIS in Cheng-Yu Economic Zone, China

* Landscape Contest at ICPR 2010, The

* Landscape Effects of Wildfire on Permafrost Distribution in Interior Alaska Derived from Remote Sensing

* Landscape features that prevent or foster urban sprawl

* Landscape of clustering algorithms

* Landscape Visualisation on the Internet

* Landscaping Future Interaction: Special issue on Mobile and Ubiquitous Multimedia

* Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry

* Landslide Activity Monitoring with the Help of Unmanned Aerial Vehicle

* Landslide Analysis, Damage Assessment, Deformations

* Landslide Deformation Analysis by Coupling Deformation Time Series from SAR Data with Hydrological Factors through Data Assimilation

* Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data

* Landslide detection on earthen levees with X-band and L-band radar data

* Landslide Displacement Monitoring by a Fully Polarimetric SAR Offset Tracking Method

* Landslide Displacement Monitoring Using 3D Range Flow on Airborne and Terrestrial LiDAR Data

* Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry

* Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design

* Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

* Landslide Monitoring Using Terrestrial Laser Scanner: Georeferencing And Canopy Filtering Issues In A Case Study

* Landweber Algorithm for 3D Confocal Microscopy Restoration, A

* Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver

* Lane-Curve Detection Based on an LCF, A

* lane-departure identification based on LBPE, Hough transform, and linear regression, A

* Lane-Level Integrity Provision for Navigation and Map Matching With GNSS, Dead Reckoning, and Enhanced Maps

* Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

* Lane-mark extraction for automobiles under complex conditions

* Lane Background Removal for the Classification of Thin-Layer Chromatography Images

* Lane boundaries detection algorithm using vector lane concept

* Lane Boundary Detection Using a Multiresolution Hough Transform

* Lane Boundary Tracking for an Autonomous Road Vehicle

* Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning

* Lane Departure Detection, Lane Control Assistance, Lateral Control

* Lane Departure Identification for Advanced Driver Assistance

* lane departure warning system based on a linear-parabolic lane model, A

* Lane Detection and Tracking Using a Layered Approach

* Lane detection and tracking using a new lane model and distance transform

* Lane detection and tracking using B-Snake

* Lane Detection Based on Visual Attention

* Lane Detection by Orientation and Length Discrimination

* Lane detection in surveillance videos using vector-based hierarchy clustering and density verification

* Lane Detection in Unstructured Environments for Autonomous Navigation Systems

* Lane detection system and apparatus

* Lane detection using spline model

* Lane Detection Using Steerable Filters and FPGA-based Implementation

* Lane Detection With Moving Vehicles in the Traffic Scenes

* Lane Detection, Lane Following, White Line Detection

* Lane following and lane departure using a linear-parabolic model

* Lane following combining vision and DGPS

* Lane formation in a microscopic model and the corresponding partial differential equation

* Lane Keeping Based on Location Technology

* LANELOK: An Algorithm for Extending the Lane Sensing Operating Range to 100 Feet

* LANELOK: Detection of Lane Boundaries and Vehicle Tracking Using Image-Processing Techniques, Part I: Hough-Transform Region-Tracing and Correlation Algorithms

* LaneLok: Robust Line and Curve Fitting of Lane Boundaries

* Language-based querying of image collections on the basis of an extensible ontology

* Language-Free Layout Analysis

* Language-Independent OCR Using a Continuous Speech Recognition System

* Language-Independent Text-Line Extraction Algorithm for Handwritten Documents

* Language-Independent Text Lines Extraction Using Seam Carving

* Language Adaptive Methodology for Handwritten Text Line Segmentation

* Language and Script Identification Based on Steerable Pyramid Features

* Language and Vision: A Single Perceptual Mechanism

* language for construction of belief networks, A

* Language for Human Action, A

* language for pattern recognition, A

* Language Identification Based on Phone Decoding for Basque and Spanish

* Language identification for handwritten document images using a shape codebook

* Language Identification for Interactive Handwriting Transcription of Multilingual Documents

* Language Identification for Printed Text Independent of Segmentation

* Language identification from handwritten documents

* Language Identification in Degraded and Distorted Document Images

* Language identification in web documents using discrete HMMs

* Language identification of character images using machine learning techniques

* Language Identification of On-Line Documents Using Word Shapes

* Language Identification Using Spectrogram Texture

* Language Identification: Examining the Issues

* Language Independent Lip Reading

* Language Independent Skew Estimation Technique Based on Gaussian Mixture Models: A Case Study on South Indian Scripts

* Language independent unsupervised learning of short message service dialect

* Language Model-Based on Semantically Clustered Words in a Chinese Character-Recognition System, A

* Language Model Integration for the Recognition of Handwritten Medieval Documents

* language model using variable length tokens for open-vocabulary Hangul text recognition, A

* Language modeling for bag-of-visual words image categorization

* Language Modelization and Categorization for Voice-Activated QA

* Language Models for Handwritten Short Message Services

* Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, The

* Language of Encoded Line Patterns, The

* Language Recognition, Multi-Language Documents

* Language, Vision and Metaphor

* Languages and Architectures for Image Processing

* Languages for constrained binary segmentation based on maximum a posteriori probability labeling

* Laparoscopic instrument localization using a 3-D Time-of-Flight/RGB endoscope

* Laparoscopy, Surgery

* Laplace-Beltrami eigenfunction metrics and geodesic shape distance features for shape matching in synthetic aperture sonar

* Laplace-Beltrami Operator: A Ubiquitous Tool for Image and Shape Processing, The

* Laplace-Beltrami spectra for shape comparison of surfaces in 3D using the closest point method

* Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression

* Laplace distribution based CTU level rate control for HEVC

* Laplace Distribution Based Lagrangian Rate Distortion Optimization for Hybrid Video Coding

* Laplace Integral for a Watershed Segmentation, The

* Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function

* Laplacian-of-Gaussian Kernal: A Formal Analysis and Design for Fast Accurate Convolution and Full Frame Operation, The

* Laplacian affine sparse coding with tilt and orientation consistency for image classification

* Laplacian Affinity Propagation for Semi-Supervised Object Classification

* Laplacian Approach to Multi-Oriented Text Detection in Video, A

* Laplacian based image fusion

* Laplacian Based Non-Linear Diffusion Filtering

* Laplacian based structure-aware error diffusion

* Laplacian coordinates-based motion transition for data-driven motion synthesis

* Laplacian Coordinates for Seeded Image Segmentation

* Laplacian Derivative Based Regularization for Optical Flow Estimation in Driving Scenario

* Laplacian Eigenimages in Discrete Scale Space

* Laplacian Eigenmap With Temporal Constraints for Local Abnormality Detection in Crowded Scenes

* Laplacian Eigenmaps-Based Polarimetric Dimensionality Reduction for SAR Image Classification

* Laplacian embedding and key points topology verification for large scale mobile visual identification

* Laplacian Energy for Document Binarization, A

* Laplacian group sparse modeling of human actions

* Laplacian linear discriminant analysis

* Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data

* Laplacian Meshes for Monocular 3D Shape Recovery

* Laplacian Method for Video Text Detection, A

* Laplacian minimax probability machine

* Laplacian object: One-shot object detection by locality preserving projection

* Laplacian Operator-Based Edge Detectors

* Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images

* Laplacian Operators for Direct Processing of Range Data

* Laplacian PCA and Its Applications

* Laplacian Pyramid as a Compact Image Code, The

* Laplacian pyramid decomposition-type method for resolution enhancement of ultrasound images

* Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval

* Laplacian Regularized Low-Rank Representation and Its Applications

* Laplacian Scale-Space Behavior of Planar Curve Corners

* Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications

* Laplacian spectral distances and kernels on 3D shapes

* Laplacian spectral method for stereo correspondence, A

* Laplacian Support Vector Analysis for Subspace Discriminative Learning

* Laplacian Support Vector Machines with Multi-Kernel Learning

* Laplacian, Gaussian Filters for Edges and Zero Crossings

* lapped directional transform for spectral image analysis and its application to restoration and enhancement, A

* Lapped Multiple Bases Algorithms for Still Image Compression without Blocking Effect

* Lapped Nonlinear Interpolative Vector Quantization and Image Super-Resolution

* Lapped Orthogonal Transform Designed for Error Resilient Image Coding

* Lapped orthogonal transforms designed for error-resilient image coding

* Lapped spectral decomposition for 3D triangle mesh compression

* Lapped transform-based image denoising with the generalised Gaussian prior

* Lapped transform domain denoising using hidden Markov trees

* Lappeenranta University of Technology

* LAR-LLC: A Low-Complexity Multiresolution Lossless Image Codec

* Large-area depth recovery for RGB-D camera

* Large-Area Land-Cover Mapping through Scene-Based Classification Compositing

* Large-Area Landslides Monitoring Using Advanced Multi-Temporal InSAR Technique over the Giant Panda Habitat, Sichuan, China

* Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia

* Large-field-of-view, modular, stabilized, adaptive-optics-based scanning laser ophthalmoscope

* Large-Lexicon Attribute-Consistent Text Recognition in Natural Images

* Large-Margin Learning of Compact Binary Image Encodings

* Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition

* Large-Margin Multi-View Information Bottleneck

* Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis

* Large-Scale 3D Reconstruction: A Triangulation-Based Approach

* Large-scale 3D scene modeling by registration of laser range data with Google Maps images

* Large-Scale Aerial Image Categorization Using a Multitask Topological Codebook

* Large-Scale Aerial Image Interpretation Using A Redundant Semantic Classification

* Large-Scale Analysis of Formations in Soccer

* Large-scale and drift-free surface reconstruction using online subvolume registration

* large-scale benchmark dataset for event recognition in surveillance video, A

* Large-Scale Building Reconstruction Through Information Fusion and 3-D Priors

* Large-Scale Bundle Adjustment by Parameter Vector Partition

* large-scale car dataset for fine-grained categorization and verification, A

* Large-scale color holographic display capable of steering view window

* Large-Scale Concept Detection in Multimedia Data Using Small Training Sets and Cross-Domain Concept Fusion

* Large-Scale Crowd Density Estimation Based on Effective Region Feature Extraction Method, The

* Large-scale damage detection using satellite imagery

* Large-Scale Data for Multiple-View Stereopsis

* Large-Scale Database of Images and Captions for Automatic Face Naming, A

* Large-scale Dictionary Learning for Local Coordinate Coding

* large-scale diffractive glasses-free 3D display, A

* Large-Scale Discovery of Spatially Related Images

* Large-scale document image retrieval and classification with runlength histograms and binary embeddings

* Large-scale eigenvector approximation via Hilbert Space Embedding Nyström

* Large-scale EMM identification based on geometry-constrained visual word correspondence voting

* Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems

* Large-scale event detection using semi-hidden markov models

* Large-Scale Face Recognition on Smart Devices

* Large-scale failures of f- scaling in natural image spectra

* Large-scale feature matching with distributed and heterogeneous computing

* Large-Scale Feature Selection

* Large-scale functional models of visual cortex for remote sensing

* Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels

* Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition

* Large-scale geo-facial image analysis

* Large-scale geo-tagged video indexing and queries

* Large-Scale Geosocial Multimedia

* Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis

* Large-Scale Graph Indexing Using Binary Embeddings of Node Contexts

* Large-Scale Graph Visualization and Analytics

* Large-Scale High-Resolution Modeling of Microwave Radiance of a Deep Maritime Alpine Snowpack

* Large-scale image and video search: Challenges, technologies, and trends

* Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning

* Large-scale image annotation using visual synset

* Large-scale image categorization with explicit data embedding

* Large-scale image classification using supervised spatial encoder

* Large-scale image classification with trace-norm regularization

* Large-scale image classification: Fast feature extraction and SVM training

* Large-Scale Image Mining with Flickr Groups

* Large-Scale Image Phylogeny: Tracing Image Ancestral Relationships

* Large-Scale Image Retrieval Based on Compressed Camera Identification

* Large-Scale Image Retrieval Using Local Binary Patterns and Iterative Quantization

* Large-scale image retrieval with compressed Fisher vectors

* Large-Scale Indoor/Outdoor Image Classification via Expert Decision Fusion (EDF)

* Large-scale infographic image downsizing

* Large-scale knowledge transfer for object localization in ImageNet

* Large-scale learning for media understanding

* Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences)

* Large-scale Learning with SVM and Convolutional for Generic Object Categorization

* Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds

* Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction, A

* Large-scale manifold learning

* Large-scale measurement experiments of P2P-TV systems insights on fairness and locality

* Large-Scale Micro-Blog Authorship Attribution: Beyond Simple Feature Engineering

* Large-scale Mining, Discovery and Visualization of WWW User Clickpaths

* Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics

* Large-scale monocular SLAM by local bundle adjustment and map joining

* Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences

* Large-Scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex

* Large-Scale Multimedia Retrieval and Mining

* Large-scale music exploration in hierarchically organized landscapes using prototypicality information

* Large-scale near-duplicate image retrieval by kernel density estimation

* Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches

* Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine

* Large-Scale Object Classification Using Label Relation Graphs

* Large-Scale Oceanic Variability Associated with the Madden-Julian Oscillation during the CINDY/DYNAMO Field Campaign from Satellite Observations

* Large-Scale Open-Source Acoustic Simulator for Speaker Recognition, A

* Large-Scale Optimal Sensor Array Management for Multitarget Tracking

* Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images

* Large-Scale Parallel Data Clustering

* Large-scale privacy protection in Google Street View

* Large-scale road detection in forested mountainous areas using airborne topographic lidar data

* Large-scale scene reconstruction using periscopic stereo

* Large-scale semantic co-labeling of image sets

* Large-Scale Signature Matching Using Multi-stage Hashing

* Large-Scale Similarity-Based Join Processing in Multimedia Databases

* Large-Scale Simulation Studies in Image Pattern Recognition

* Large-Scale Situation Awareness With Camera Networks and Multimodal Sensing

* large-scale solar image dataset with labeled event regions, A

* Large-Scale Stereo Display Wall Using Programmable Graphics Hardware

* Large-Scale Stereo for Improvement of 3D Measurement Accuracy in Gaze-Observation

* Large-Scale SUMO-Based Emulation Platform, A

* Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination, A

* Large-Scale Tattoo Image Retrieval

* Large-scale three-dimensional measurement based on LED marker tracking

* Large-scale urban environment modeling from videos using image content segmentation and alignment

* Large-Scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery

* Large-scale vehicle detection in challenging urban surveillance environments

* Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos

* Large-Scale Video Classification with Convolutional Neural Networks

* Large-scale video event classification using dynamic temporal pyramid matching of visual semantics

* Large-Scale Video Hashing via Structure Learning

* Large-Scale Video Search and Mining

* Large-Scale Video Summarization Using Web-Image Priors

* Large-Scale Visual Font Recognition

* Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case-Study

* Large-Scale Weakly Supervised Object Localization via Latent Category Learning

* Large-scale web video event classification by use of Fisher Vectors

* Large-scale, dense city reconstruction from user-contributed photos

* large-to-fine-scale shape prior for probabilistic segmentations using a deformable m-rep, A

* Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models

* Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances

* Large Area Displays: The Changing Face of Visualization

* Large Area Land Cover Classification With Landsat Etm+ Images Based On Decision Tree

* Large area QuickBird imagery for object-based image analysis in Western Kenya: pre-processing difficulties, workarounds and resulting benefits as well as (first) segmentation strategies

* Large Area Video Surveillance System with Handoff Scheme among Multiple Cameras

* Large Array Null Steering Using Compressed Sensing

* Large Barrel Distortion in an Acquisition System for Multifocal Images Extraction, A

* Large Baseline Matching of Scale Invariant Features

* Large color gamut displays with diffraction gratings

* Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition

* large database of graphs and its use for benchmarking graph isomorphism algorithms, A

* Large deformable splines, crest lines and matching

* Large Deformation Diffeomorphic Metric Curve Mapping

* Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations

* Large Deformation Diffeomorphic Metric Mapping of Vector Fields

* Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies

* Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type

* Large deformation diffeomorphisms with application to optic flow

* Large Deformation Multiresolution Diffeomorphic Metric Mapping for Multiresolution Cortical Surfaces: A Coarse-to-Fine Approach

* Large Differences in Terrestrial Vegetation Production Derived from Satellite-Based Light Use Efficiency Models

* Large Discriminative Structured Set Prediction Modeling With Max-Margin Markov Network for Lossless Image Coding

* Large Disparity Motion Layer Extraction via Topological Clustering

* Large Displacement 3D Scene Flow with Occlusion Reasoning

* Large Displacement Dynamic Scene Segmentation through Multiscale Saliency Flow

* Large displacement optical flow based image predictor model

* Large displacement optical flow computation without warping

* Large Displacement Optical Flow for Volumetric Image Sequences

* Large Displacement Optical Flow from Nearest Neighbor Fields

* Large displacement optical flow

* Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

* Large Display Interaction Using Video Avatar and Hand Gesture Recognition

* Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks

* Large Encrypting Binary Images with Higher Security

* Large environment rendering using plenoptic primitives

* Large Geometric Models Archive

* Large Head Movement Tracking Using Scale Invariant View-Based Appearance Model

* Large Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts

* Large image modality labeling initiative using semi-supervised and optimized clustering

* Large Lexicon Detection of Sign Language

* large margin approach for writer independent online handwriting classification, A

* Large margin AR model for time series classification

* Large margin based nonnegative matrix factorization and partial least squares regression for face recognition

* Large Margin Classifier Based on Affine Hulls

* Large margin classifiers based on convex class models

* Large margin cost-sensitive learning of conditional random fields

* Large Margin Dimensionality Reduction for Action Similarity Labeling

* Large Margin Discriminant Hashing for Fast k-Nearest Neighbor Classification

* large margin framework for single camera offline tracking with hybrid cues, A

* Large margin learning of hierarchical semantic similarity for image classification

* Large margin linear projection and face recognition

* Large Margin Local Estimate With Applications to Medical Image Classification

* Large Margin Local Metric Learning

* Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild

* Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification

* Large margin null space discriminant analysis with applications to face recognition

* Large margin pursuit for a Conic Section classifier

* Large Margin Subspace Learning for feature selection

* Large Motion Estimation for Omnidirectional Vision

* Large Motion Object Tracking using Active Contour Combined Active Appearance Model

* Large object detection in cluttered background using boosted Markov Chain Monte Carlo

* Large Occlusion Stereo

* Large Sample Bias in Least Squares Estimation of a Circular Arc Center and Its Radius

* Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering

* Large scalability in document image matching using text retrieval

* Large Scale 3D Environmental Modelling for Stereoscopic Walk-Through Visualisation

* Large scale address recognition systems: Truthing, testing, tools, and other evaluation issues

* Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform

* Large Scale Bayesian Inference And Experimental Design For Sparse Linear Models

* large scale clustering scheme for kernel k-means, A

* Large Scale Constraint Delaunay Triangulation for Virtual Globe Rendering

* Large scale continuous visual event recognition using max-margin Hough transformation framework

* Large scale crowd analysis based on convolutional neural network

* Large Scale Dataset for Cross-Model Multimedia Analysis

* Large Scale Document Image Retrieval by Automatic Word Annotation

* Large Scale Evaluations of Multimedia Information Retrieval: The TRECVid Experience

* Large Scale Experiments on Fingerprint Liveness Detection

* Large scale face identification by combined iconic features and 3D joint invariant signatures

* Large scale feature selection using modified random mutation hill climbing

* large scale footstep database for biometric studies created using cross-biometrics for labelling, A

* Large scale Gaussian Process for overlap-based object proposal scoring

* Large Scale Image Categorization in Sparse Nonparametric Bayesian Representation

* Large Scale Image Indexing Using Online Non-negative Semantic Embedding

* Large scale image retrieval with visual groups

* Large Scale Image Search

* Large Scale Landform Mapping Using Lidar DEM

* Large scale learning and recognition of faces in web videos

* Large Scale Learning of Active Shape Models

* Large Scale Medical Image Search via Unsupervised PCA Hashing

* Large scale metric learning from equivalence constraints

* Large Scale Models, City Scale Models, City Models

* Large scale monitoring of crowds and building utilisation: A new database and distributed approach

* Large Scale Multi-View Stereo, Internet Scale

* Large Scale Multi-view Stereopsis Evaluation

* Large scale on-line handwritten Chinese character recognition using successor method based on stochastic regular grammar

* Large Scale Online Learning of Image Similarity through Ranking

* Large Scale Page-Based Book Similarity Clustering

* Large Scale Retrieval and Generation of Image Descriptions

* Large Scale Scene Matching for Graphics and Vision

* Large Scale Sketch Based Image Retrieval Using Patch Hashing

* Large Scale Specific Object Recognition by Using GIFTS Image Feature

* Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

* Large Scale Stereo Vision

* Large Scale System for Searching and Browsing Images from the World Wide Web, A

* Large Scale Texture Mapping of Building Facades

* Large Scale Urban Reconstruction from Remote Sensing Imagery

* Large Scale Video Database

* Large scale vision-based navigation without an accurate global reconstruction

* Large scale visual-based event matching

* Large Scale Visual Commerce

* Large Scale Visual Geo-Localization of Images in Mountainous Terrain

* Large Scene Deceptive Jamming Method for Space-Borne SAR, A

* Large scene reconstruction with local details recovery

* Large Structures: Which Solutions for Health Monitoring?

* Large System Decision Fusion Performance in Inhomogeneous Sensor Networks

* Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks

* Large Tree Classifier with Heuristic Search and Global Training

* Large Visual Repository Search with Hash Collision Design Optimization

* Large visual words for large scale image classification

* Large Vocabularies for Keypoint-Based Representation and Matching of Image Patches

* Large Vocabulary Audio-visual Speech Recognition Using Active Shape Models

* Large Vocabulary Audio-Visual Speech Recognition Using the Janus Speech Recognition Toolkit

* Large Vocabulary Continuous Speech Recognition With Reservoir-Based Acoustic Models

* Large vocabulary quantization for searching instances from videos

* Large Vocabulary Recognition Of Online Handwritten Cursive Words

* Large Vocabulary Sign Language Recognition Based on Fuzzy Decision Trees

* Large Window Median Filtering on CLIP7

* Largest-Eigenvalue-Theory for Incremental Principal Component Analysis

* Largest Dynamic Range of a Generalized Chinese Remainder Theorem for Two Integers, The

* largest empty rectangle containing only a query object in Spatial Databases, The

* largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication, The

* Largest Silhouette-Equivalent Volume for 3D Shapes Modeling without Ghost Object

* Laser-based detection and tracking of multiple people in crowds

* Laser-based multi-user multi-modal 3D displays

* Laser-marked alphanumeric character recognition by multi-angled parallel matching method

* Laser-Scanner-Based Approach Toward Driving Safety and Traffic Data Collection, A

* Laser-Video Scanner Calibration without the Use of Frame Store

* Laser altimeter and probe height sensor

* Laser Altimeter Performance Model and Its Application to BELA, A

* Laser beam inspection apparatus

* Laser beam path profile sensor system

* Laser DTM generation for South-Tyrol and 3D-visualization

* Laser Footprint Size and Pointing Precision Analysis for LIDAR Systems

* Laser Intensity-Based Obstacle Detection and Tracking

* Laser Line Segmentation with Dynamic Line Models

* Laser measurement system

* Laser only feature based multi robot SLAM

* Laser optical feedback imaging controlled by an electronic feedback loop

* Laser pointer interaction for camera-registered multi-projector displays

* Laser probe for determining distance

* Laser projector having silhouette blanking for objects in the output light path

* Laser Pulse Analysis for Reconstruction and Classification of Urban Objects

* Laser Pulse Variations And Their Influence On Radiometric Calibration Of Full-Waveform Laser Scanner Data

* Laser Radar in Robotics

* Laser Range Data, Photographs and Architecural Components

* Laser Range Finder Based on Synchronized Scanners

* Laser range imaging system based on projective geometry

* Laser range scanner based on self-calibration techniques using coplanarities and metric constraints

* laser range scanner designed for minimum calibration complexity, A

* Laser ranging system calibration device

* Laser Scanner and Camera-Equipped UAV Architectural Surveys

* Laser scanner for reading two dimensional bar codes

* Laser Scanner Reliefs of Selected Archeological Structures in the Submerged Baiae (Naples)

* Laser Scanner Simulator for System Analysis and Algorithm Development: a Case with Forest Measurements

* Laser Scanner Survey Of An Archaeological Site: Scala Di Furno (Lecce, Italy)

* Laser Scanner Survey To Cultural Heritage Conservation And Restoration

* laser scanning-based method for fast estimation of seismic-induced building deformations, A

* Laser Scanning and Data Integration for Three-Dimensional Digital Recording of Complex Historical Structures: The Case of Mevlana Museum

* Laser Scanning and Its Potential to Support 3D Panoramic Recording

* Laser Scanning Applied To Hydraulic Modeling

* Laser Scanning for the Geometric Study of the Alcántara Bridge and Coria Cathedral

* Laser Scanning in Forests

* Laser scanning in Ostia: A comparative study of accuracy of the drawings in 1950s and field survey on tall structures

* Laser Scanning of a Monolithic Column During Processing in Middle Egypt

* Laser scanning system and scanning method for reading 1-D and 2-D barcode symbols

* Laser Scanning Techniques and Safety Analysis for Nantou City Wall

* Laser Sensors for Range, Time of Flight

* Laser speckle photography for surface tampering detection

* Laser Strip Adjustment for Data Calibration and Verification

* Laser stripe peak detector for 3D scanners. A FIR filter approach

* Laser Time-of-Flight Range Scanner for Robotic Vision, A

* Laser Tracking System to Measure Position and Orientation of Robot End Effectors Under Motion, A

* Laserscanning or image-based modeling? A comparative through the modelization of San Nicolas Church

* Laserscanning survey of the Aquileia basilica (Italy) and automatic modeling of the volumetric primitives

* LASIC: A model invariant framework for correspondence

* LASP: Local adaptive super-pixels

* LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging

* LATCH: Learned arrangements of three patch codes

* Late Blight Forecast Using Mobile Phone Based Agro Advisory System

* Late fusion for person detection in camera networks

* Latency and avatars in Virtual Environments and the effects on gait for persons with mobility impairments

* Latency in Speech Feature Analysis for Telepresence Event Coding

* Latent-Class Hough Forests for 3D Object Detection and Pose Estimation

* Latent-Dynamic Discriminative Models for Continuous Gesture Recognition

* Latent-Space Variational Bayes

* Latent Analysis of Earth Surface Dynamic Evolution Using Change Map Time Series, A

* Latent Boosting for Action Recognition

* Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data

* Latent classification models for binary data

* Latent Clothing Attribute Approach for Human Pose Estimation, A

* Latent Data Association: Bayesian Model Selection for Multi-target Tracking

* Latent Dictionary Learning for Sparse Representation Based Classification

* Latent Dirichlet Allocation for Spatial Analysis of Satellite Images

* Latent Dirichlet Allocation Models for Image Classification

* Latent Fingerprint Core Point Prediction Based on Gaussian Processes

* Latent fingerprint detection and segmentation with a directional total variation model

* Latent Fingerprint Matching

* Latent Fingerprint Matching: Fusion of Rolled and Plain Fingerprints

* Latent Fingerprint Matching: Performance Gain via Feedback from Exemplar Prints

* Latent fingerprint persistence: A new temporal feature space for forensic trace evidence analysis

* Latent Gaussian Mixture Regression for Human Pose Estimation

* Latent Hierarchical Model of Temporal Structure for Complex Activity Classification

* Latent Hierarchical Part Based Models for Road Scene Understanding

* Latent hierarchical structural learning for object detection

* Latent Hough Transform for Object Detection

* Latent IBP Compound Dirichlet Allocation

* Latent Identity Variables: Biometric Matching Without Explicit Identity Estimation

* Latent Layout Analysis for Discovering Objects in Images

* Latent Log-Linear Models for Handwritten Digit Classification

* Latent Low-Rank Representation for subspace segmentation and feature extraction

* Latent max-margin metric learning for comparing video face tubes

* Latent Mixture of Discriminative Experts

* Latent mixture vocabularies for object categorization and segmentation

* Latent Mixture Vocabularies for Object Categorization

* Latent Model Clustering and Applications to Visual Recognition

* Latent Model for Visual Disambiguation of Keyword-based Image Search, A

* latent model of discriminative aspect, A

* Latent motion spaces for full-body motion editing

* Latent Multitask Learning for View-Invariant Action Recognition

* Latent Palmprint Matching

* Latent Pose Estimator for Continuous Action Recognition

* Latent Pyramidal Regions for Recognizing Scenes

* Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture

* Latent Semantic Association for Medical Image Retrieval

* Latent semantic learning with structured sparse representation for human action recognition

* Latent Semantics Local Distribution for CRF-based Image Semantic Segmentation

* Latent Space Sparse Subspace Clustering

* Latent Structure Preserving Hashing

* Latent structured models for human pose estimation

* Latent Style Model: Discovering writing styles for calligraphy works

* Latent subcategory models for pedestrian detection with partial occlusion handling

* Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking

* Latent support vector machine for sign language recognition with Kinect

* Latent SVM for Object Localization in Weakly Labeled Videos

* Latent SVMs for Human Detection with a Locally Affine Deformation Field

* Latent Task Adaptation with Large-Scale Hierarchies

* Latent Topic Encoding for Content-Based Retrieval

* Latent topic model-based group activity discovery

* Latent topic model for audio retrieval

* Latent topic random fields: Learning using a taxonomy of labels

* Latent topics-based relevance feedback for video retrieval

* Latent trees for estimating intensity of Facial Action Units

* Latent visual context analysis for image re-ranking

* Latent visual context learning for web image applications

* Lateral and Depth Calibration of PMD-Distance Sensors

* Lateral control assistance in car driving: Classification, review and future prospects

* Lateral Directional Axis Control of Aircraft Based on TECS

* Lateral Histograms for Efficient Object Location: Speed Versus Ambiguity

* Lateral Offset Quality Rating along Low Slip Rate Faults: Application to the Alhama de Murcia Fault (SE Iberian Peninsula)

* Lateral superresolution using a posteriori phase shift estimation for a moving object: experimental results

* Lateral suppression of mesopic rod and cone flicker detection

* Lateral Touch Detection and Localization for Interactive, Augmented Planar Surfaces

* Lateral Vehicle State and Environment Estimation Using Temporally Previewed Mapped Lane Features

* Latest research in computer vision: A special issue on VI 2002

* Lattice-Based Anomaly Rectification for Sport Video Annotation

* Lattice-Based High-Dimensional Gaussian Filtering and the Permutohedral Lattice

* Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting, A

* Lattice-Based Minimal Gray-Scale Switching Algorithm for Obtaining the Optimal Increasing Filter from the Optimal Filter, A

* Lattice-based MRF model for Dynamic Near-regular Texture Tracking and Manipulation, A

* Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking, A

* Lattice-Based Screen Set: Square N -Color All-Orders Moire-Free Screen Set, The

* Lattice-Boltzmann Water Waves

* Lattice-Preserving Multigrid Method for Solving the Inhomogeneous Poisson Equations Used in Image Analysis, A

* Lattice-Theoretical Fixpoint Theorems in Morphological Image Filtering

* Lattice-Theoretical Framework for Annular Filters in Morphological Image Processing, A

* Lattice-Theoretical Morphological View on Template Extraction in Images, A

* Lattice Algebra Approach to Color Image Segmentation

* Lattice Approach to Image Segmentation, A

* Lattice Based Dendritic Computing: A Biomimetic Approach to ANNs

* Lattice Boltzmann Method Based Medical Image Denoising and Enhancement, A

* Lattice Boltzmann Method Based Medical Image Segmentation

* Lattice Boltzmann Method for Image Denoising, A

* Lattice Boltzmann Method of Active Contour for Image Segmentation

* Lattice Boltzmann Model for Rotationally Invariant Dithering, A

* Lattice Boltzmann Models for Anisotropic Diffusion of Images

* Lattice Boltzmann Models for Nonlinear Diffusion Filtering

* lattice computing approach for on-line fMRI analysis, A

* Lattice Cut: Constructing superpixels using layer constraints

* Lattice estimation from images of patterns that exhibit translational symmetry

* Lattice Filters Based on the Delta-Operator

* Lattice Framework for Integrating Vision Modules, A

* Lattice Image Processing: A Unification of Morphological and Fuzzy Algebraic Systems

* Lattice Labeling Algorithms for Vector Quantization

* Lattice of Octagonal Distances in Digital Geometry

* Lattice Quantizers: Entropy Reduction by Proper Tie-Handling

* Lattice Structure for Generalized-Support Multidimensional Linear Phase Perfect Reconstruction Filter Bank

* Lattice Structure for Regular Linear Phase Paraunitary Filter Bank With Odd Decimation Factor

* Lattice theory approach to metastatic disease patterns in autopsied human patients: Application to metastatic neuroblastoma

* lattice vector quantizer for generalized Gaussian sources, A

* lattice width and quasi-straightness in digital spaces, The

* Laughter induction techniques suitable for generating motion capture data of laughter associated body movements

* Launch monitor system with a calibration fixture and a method for use thereof

* Laval University

* Lavatube: A Software Framework for Computer Vision Research and Development

* LaWeCo: Active region detection in non-uniformly sampled data using Laplacian-weighted covariance

* Lawrence Berkeley National Laboratory

* Layer-Adaptive Mode Decision and Motion Search for Scalable Video Coding with Combined Coarse Granular Scalability (CGS) and Temporal Scalability

* Layer-Aligned Multipriority Rateless Codes for Layered Video Streaming

* Layer-Aware Forward Error Correction for Mobile Broadcast of Layered Media

* Layer-Based Approach for Image Pair Fusion

* Layer-based binarization for textual images

* Layer-based image completion by poisson surface reconstruction

* Layer-Based Mannequin Reconstruction and Parameterization from 3D Range Data

* Layer-Based Morphing

* Layer-Based Restoration Framework for Variable-Aperture Photography, A

* Layer-based video registration

* Layer-correlated motion estimation and motion vector coding for the 3d-wavelet video coding

* Layer-finding in radar echograms using probabilistic graphical models

* Layer Assignment Based on Depth Data Distribution for Multiview-Plus-Depth Scalable Video Coding

* Layer Based Multiple Description Packetized Coding

* Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras

* Layer Extraction from Multiple Images Containing Reflections and Transparency

* Layer extraction in rodent retinal images acquired by optical coherence tomography

* Layer Extraction with a Bayesian Model of Shapes

* Layer Stripping Approach for EM Reconstruction of Stratified Media, A

* Layer the sphere

* Layered-based exposure fusion algorithm

* Layered 4D representation and voting for grouping from motion

* Layered Abduction Model of Building Recognition, A

* Layered access control for MPEG-4 FGS video

* Layered Active Appearance Models

* Layered Active Contours for Tracking

* Layered Approach to Stereo Reconstruction, A

* Layered Architecture for the Control of Micro Saccadic Tracking of a Stereo Camera Head

* Layered coded vs. multiple description coded video over error-prone networks

* Layered coding for ATM based video distribution systems

* Layered Coding for Mobile Cloud Gaming Using Scalable Blinn-Phong Lighting

* layered coding system for very low bit rate video coding, A

* Layered compression for high-precision depth data

* Layered compression for high dynamic range depth

* Layered Control of a Binocular Camera Head

* Layered Data Association Using Graph-Theoretic Formulation with Application to Tennis Ball Tracking in Monocular Sequences

* Layered DCT coder for Internet video, A

* Layered DCT Still Image Compression

* Layered Deformable Model for Gait Analysis, A

* Layered Depth Image Based HEVC Multi-view Codec

* Layered Depth Panoramas

* Layered detection for multiple overlapping objects

* Layered Dynamic Textures

* Layered Encryption for Scalable Video Coding

* Layered Fingerprint Recognition Method, A

* Layered Graph Match with Graph Editing

* Layered graph matching by composite cluster sampling with collaborative and competitive interactions

* Layered Graph Matching with Composite Cluster Sampling

* Layered Graphical Models for Tracking Partially Occluded Objects

* Layered H.264 video transmission with hierarchical QAM

* Layered image coding using the DCT pyramid

* Layered image model using binary PCA transparency masks

* Layered image resizing in compression domain

* Layered Image Transmission With Quality Pre-specifiable Jpeg2000

* Layered Internet Video Adaptation (LIVA): Network-Assisted Bandwidth Sharing and Transient Loss Protection for Video Streaming

* Layered light-field rendering with focus measurement

* Layered Local Prediction Network with Dynamic Learning for Face Super-resolution

* Layered Mean Shift Methods

* layered method for determining manga text bubble reading order, A

* layered method of visibility resolving in depth image-based rendering, A

* Layered Model of Human Body and Garment Deformation, A

* Layered modeling and generation of Pollock's drip style

* Layered motion estimation and coding for fully scalable 3D wavelet video coding

* Layered Motion Representation with Occlusion and Compact Spatial Support, A

* Layered motion segmentation and depth ordering by tracking edges

* Layered moving-object segmentation for stereoscopic video using motion and depth information

* Layered Multicast Encryption of Motion JPEG2000 Code Streams for Flexible Access Control

* Layered Multicast With Inter-Layer Network Coding for Multimedia Streaming

* Layered Network for Correspondence of 3-D Objects, A

* Layered object categorization

* Layered object detection for multi-class segmentation

* Layered Object Models for Image Segmentation

* Layered optical tomography of multiple scattering media with combined constraint optimization

* Layered Predictive Coding of Time-Consistent Dynamic 3D Meshes using a Non-Linear Predictor

* Layered RC Circuit Model for Background Subtraction

* Layered RC circuit with dynamic resistances for background subtraction

* Layered Recognition Cone Networks That Preprocess Classify and Describe

* Layered Representation for Model-Based Filtering and Recognition, A

* Layered Representation for Motion Analysis

* Layered Representation for Pedestrian Detection and Tracking in Infrared Imagery

* Layered Representation of Motion Video Using Robust Maximum-Likelihood Estimation of Mixture Models and MDL Encoding

* Layered Representation of Scenes Based on Multiview Image Analysis

* Layered representations for learning and inferring office activity from multiple sensory channels

* Layered Representations for Vision and Video

* Layered RGBD scene flow estimation

* Layered Search Spaces for Accelerating Large Set Character Recognition

* Layered segmentation and optical flow estimation over time

* Layered Self-Organizing Map for Image Classification in Unrestricted Domains

* Layered Self-organizing Maps based Video Content Classification

* Layered set partitioning in hierarchical tree for image coding

* Layered shape grammars for procedural modelling of buildings

* Layered shape matching and registration: Stochastic sampling with hierarchical graph representation

* Layered Soft Video Broadcast for Heterogeneous Receivers

* layered stereo algorithm using image segmentation and global visibility constraints, A

* layered stereo matching algorithm using image segmentation and global visibility constraints, A

* Layered transmission of signals over power-constrained wireless channels

* Layered unequal loss protection with pre-interleaving for progressive image transmission over packet loss channels

* Layered Video Object Coding System Using Sprite and Affine Motion Model, A

* Layered video transmission over wireless multirate DS-CDMA links

* Layered Volume Splatting

* Layered wireless video multicast using directional relays

* Layered Wireless Video Multicast Using Relays

* Layered Wireless Video Relying on Minimum-Distortion Inter-Layer FEC Coding

* Layered Wyner-Ziv Video Coding

* Layering-based Color Filter Array Interpolation

* LayerP2P: Using Layered Video Chunks in P2P Live Streaming

* Layout-Based Document-Retrieval System by Radon Transform Using Dynamic Time Warping

* Layout Analysis for Arabic Historical Document Images Using Machine Learning

* Layout Analysis for Historical Manuscripts Using Sift Features

* Layout analysis of book pages

* Layout Analysis of Complex Documents

* Layout Analysis of Handwritten Historical Documents for Searching the Archive of the Cabinet of the Dutch Queen

* Layout and Content Extraction for PDF Documents

* Layout and language: exploring text block discovery in tables using linguistic resources

* Layout and Language: Preliminary Investigations in Recognizing the Structure of Tables

* Layout based document image retrieval by means of XY tree reduction

* Layout Based Information Extraction from HTML Documents

* Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects, The

* Layout Estimation of Highly Cluttered Indoor Scenes Using Geometric and Semantic Cues

* Layout Extraction of Mixed-Mode Documents

* Layout indexing of trademark images

* Layout of Multiple Views for Volume Visualization: A User Study

* Layout Recognition of Multi-Kinds of Table-Form Documents

* Layout2: A Production System Modeling Visual Perspective Information

* lazy bagging approach to classification, A

* Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models, The

* Lazy Generic Cuts

* Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration, A

* Lazy Nonlinear Diffusion Parameter Estimation

* Lazy Random Walks for Superpixel Segmentation

* Lazy Sliding Window Implementation of the Bilateral Filter on Parallel Architectures

* Lazy texture selection based on active learning

* LazyNav: 3D ground navigation with non-critical body parts

* LazySOM: Image Compression Using an Enhanced Self-Organizing Map

* LBGS: a smart approach for very large data sets vector quantization

* LBO-Shape Densities: Efficient 3D Shape Retrieval Using Wavelet Density Estimation

* LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation, An

* LBP-based biometric hashing scheme for human authentication

* LBP-Based Edge-Texture Features for Object Recognition

* LBP-based periocular recognition on challenging face datasets

* LBP-Based Segmentation of Defocus Blur

* LBP-guided active contours

* LBP-TOP Based Countermeasure against Face Spoofing Attacks

* LBP-TOP for Volume Lesion Classification in Breast DCE-MRI

* LBP and Irregular Graph Pyramids

* LBP Based Line-Wise Script Identification

* LBP Discriminant Analysis for Face Verification

* LBP Encoding Schemes Jointly Utilizing the Information of Current Bit and Other LBP Bits

* LBP histogram selection for supervised color texture classification

* LBP with Six Intersection Points: Reducing Redundant Information in LBP-TOP for Micro-expression Recognition

* LBPV descriptors-based automatic ACR/BIRADS classification approach

* LBT Based Low Complexity Image Compression Method

* LCD Motion Blur Modeling and Analysis

* LCD motion blur reduction using fir filter banks

* LCD Motion Blur Reduction: A Signal Processing Approach

* LCD Motion Blur: Modeling, Analysis, and Algorithm

* LCMine: An efficient algorithm for mining discriminative regularities and its application in supervised classification

* LDA-Based Compound Distance for Handwritten Chinese Character Recognition

* LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels, An

* LDA based color information fusion for visual objects tracking

* LDA based compact and discriminative dictionary learning for sparse coding

* LDA in Face Recognition

* LDA

* LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation

* LDA/SVM Driven Nearest Neighbor Classification

* LDAHash: Improved Matching with Smaller Descriptors

* LDFT-Based Watermarking Resilient to Local Desynchronization Attacks

* LDGM codes for joint source-channel coding of correlated sources

* LDPC-Based Iterative Joint Source-Channel Decoding for JPEG2000

* LDR-LLE: LLE with Low-Dimensional Neighborhood Representation

* LDV Remote Voice Acquisition and Enhancement

* LDV Sensing and Processing for Remote Hearing in a Multimodal Surveillance System

* Leader-Follower Consensus in Mobile Sensor Networks

* Leader-following consensus of linear multi-agent systems with state-observer under switching topologies

* Leader-following rendezvous with connectivity preservation of single-integrator multi-agent systems

* Leader selection and following in dynamic environments

* Leaders-Subleaders: An efficient hierarchical clustering algorithm for large data sets

* Leaf-Based Plant Identification Through Morphological Characterization in Digital Images

* Leaf Area Index (LAI) Estimation in Boreal Mixedwood Forest of Ontario, Canada Using Light Detection and Ranging (LiDAR) and WorldView-2 Imagery

* Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos

* Leaf Area Index Estimation in Vineyards from UAV Hyperspectral Data, 2D Image Mosaics and 3D Canopy Surface Models

* Leaf Area Index Estimation of Boreal and Subarctic Forests Using VV/HH ENVISAT/ASAR Data of Various Swaths

* Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China

* Leaf Classification Using Convexity Measure of Polygons

* Leaf Extraction from Complicated Background

* Leaf Image Classification with Shape Context and SIFT Descriptors

* Leaf margins as sequences: A structural approach to leaf identification

* Leaf Optical Property Changes Associated with the Occurrence of Spartina alterniflora Dieback in Coastal Louisiana Related to Remote Sensing Mapping

* Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine

* Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours

* Leaf segmentation in plant phenotyping: a collation study

* Leaf Segmentation under Loosely Controlled Conditions

* Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with Very Close Viewpoints

* Leaf Species Classification Based on a Botanical Shape Sub-classifier Strategy

* Leafsnap

* Leafsnap: A Computer Vision System for Automatic Plant Species Identification

* Leakage-Based MMSE Beamforming Design for a MIMO Interference Channel, A

* Leakage suppression in human airway tree segmentation using shape optimization based on fuzzy connectivity method

* Leaking Fluids

* Leaks Detection in a Pipeline Using Artificial Neural Networks

* Leap Motion

* Leap segmentation for recovering image surface layout

* Leap signature recognition using HOOF and HOT features

* Learn Concepts in Multiple-Instance Learning with Diverse Density Framework Using Supervised Mean Shift

* Learn Discriminant Features for Multi-View Face and Eye Detection

* Learn Sparse Dictionaries for Edit Propagation

* Learn to Combine Multiple Hypotheses for Accurate Face Alignment

* Learn to Move: Activity Specific Motion Models for Tracking by Detection

* Learn to Personalized Image Search From the Photo Sharing Websites

* Learn to Track Edges

* Learn++ for Robust Object Tracking

* Learn++.MF: A random subspace approach for the missing feature problem

* Learn2Dance: Learning Statistical Music-to-Dance Mappings for Choreography Synthesis

* Learnable and Nonlearnable Visual Concepts

* Learnable high-order MGRF models for contrast-invariant texture recognition

* Learnable Stroke Models for Example-based Portrait Painting

* Learned Adaptive Nonlinear Filtering for Anisotropic Diffusion Approximation in Image Processing

* Learned Collaborative Representations for Image Classification

* Learned Joint Depth and Intensity Prior Using Markov Random Fields, A

* Learned Lexicon-Driven Interactive Video Retrieval

* Learned Lexicon-Driven Paradigm for Interactive Video Retrieval, A

* Learned Models for Estimation of Rigid and Articulated Human Motion from Stationary or Moving Camera

* Learned probabilistic image motion models for event detection in videos

* Learned Templates for Feature Extraction in Fingerprint Images

* Learned Temporal Models of Image Motion

* Learner excellence biased by data set selection: A case for data characterisation and artificial data sets

* Learning-Based Algal Bloom Event Recognition for Oceanographic Decision Support System Using Remote Sensing Data

* Learning-based algorithm selection for image segmentation

* Learning-based analysis of emotional impairments in schizophrenia

* Learning-Based Approach to Estimation of Morphable Model Parameters

* Learning-Based Approach to Real Time Tracking and Analysis of Faces

* Learning-Based Approach to Reduce JPEG Artifacts in Image Matting, A

* Learning-Based Atlas Selection for Multiple-Atlas Segmentation

* Learning-based automatic defect recognition with computed tomographic imaging

* Learning-Based Bipartite Graph Matching for View-Based 3D Model Retrieval

* Learning-Based Building Outline Detection from Multiple Aerial Images

* Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting

* Learning-based constitutive parameters estimation in an image sensing system with multiple mirrors

* Learning-based cursive handwriting synthesis

* Learning-based deformable registration of MR brain images

* Learning-based deformable registration using weighted mutual information

* Learning-based deformation estimation for fast non-rigid registration

* Learning-based depth estimation from 2D images using GIST and saliency

* Learning-Based Driving Events Recognition and Its Application to Digital Roads

* Learning-based dynamic coupling of discrete and continuous trackers

* Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions

* Learning-based face hallucination in DCT domain

* Learning-based Face Synthesis for Pose-robust Recognition from Single Image

* Learning-Based Filter Selection Scheme for Depth Image Super Resolution

* learning-based framework for depth ordering, A

* Learning-Based Framework for Supervised and Unsupervised Image Segmentation Evaluation, A

* Learning-Based Hand Sign Recognition Using SHOSLIF-M

* Learning-Based Hierarchical Graph for Unsupervised Matting and Foreground Estimation

* learning-based hybrid tagging and browsing approach for efficient manual image annotation, A

* Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy

* Learning-Based Image Ground Segmentation Using Multiple Cues

* Learning-based image interpolation via robust k-NN searching for coherent AR parameters estimation

* Learning-based image representation and method for face recognition

* Learning-based image restoration for compressed images

* Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image

* Learning-Based License Plate Detection Using Global and Local Features

* learning-based method for compressive image recovery, A

* Learning-Based Method for Image Super-Resolution From Zoomed Observations, A

* Learning-Based Method to Recognize and Localize Glassware Using Laser Range Images

* Learning-based mitotic cell detection in histopathological images

* Learning-Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy

* Learning-based non-rigid image registration using prior joint intensity distributions with graph-cuts

* Learning-Based Nonparametric Image Super-Resolution

* Learning-Based Number Recognition on Spiral Architecture

* Learning-based Object Detection in Cardiac MR Images

* Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Security

* Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features

* Learning-Based Object Tracking Using Boosted Features and Appearance-Adaptive Models

* Learning-Based Prediction-and-Verification Segmentation Scheme for Hand Sign Image Sequence, A

* Learning-Based Prediction of Visual Attention for Video Signals

* Learning-Based Robot Vision

* Learning-Based Segmentation Framework for Tissue Images Containing Gene Expression Data

* Learning-based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems

* Learning-based super-resolution method with a combining of both global and local constraints

* Learning-Based Super-Resolution System Using Single Facial Image and Multi-resolution Wavelet Synthesis

* Learning-based super resolution using kernel partial least squares

* Learning-Based Superresolution Land Cover Mapping

* Learning-Based Symmetry Detection in Natural Images

* Learning-Based Vehicle Detection Using Up-Scaling Schemes and Predictive Frame Pipeline Structures

* Learning-based ventricle detection from cardiac MR and CT images

* Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI

* Learning-based word spotting system for Arabic handwritten documents

* Learning-Based, Automatic 2D-to-3D Image and Video Conversion

* Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation

* Learning-Pattern Classification: A Survey

* Learning-to-Rank Approach for Image Color Enhancement, A

* Learning -- Conference Listing

* Learning 2D Hand Shapes Using the Topology Preservation Model GNG

* Learning 2D Shape Models

* Learning 3-D Scene Structure from a Single Still Image

* Learning 3D action models from a few 2D videos for view invariant action recognition

* Learning 3D appearance models from video

* Learning 3D Object Descriptions from a Set of Stereo Vision Observations

* Learning 3D Object Recognition from an Unlabelled and Unordered Training Set

* Learning 3D Object Recognition Models from 2D Images

* Learning 3D Object Recognition Strategies

* Learning 3D object templates by hierarchical quantization of geometry and appearance spaces

* Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces

* Learning 3D Part Detection from Sparsely Labeled Data

* Learning 3D Recognition Models for General Objects from Unlabeled Imagery: An Experiment in Intelligent Brute Force

* Learning 3D shape from a single facial image via non-linear manifold embedding and alignment

* Learning 3D structure from 2D images using LBP features

* Learning 4D action feature models for arbitrary view action recognition

* Learning 6D Object Pose Estimation Using 3D Object Coordinates

* Learning a background model for change detection

* Learning a bag of features based nonlinear metric for facial similarity

* Learning a blind image quality index based on visual saliency guided sampling and Gabor filtering

* Learning a blind measure of perceptual image quality

* Learning a category independent object detection cascade

* Learning a Channelized Observer for Image Quality Assessment

* Learning a classification model for segmentation

* Learning a Color Algorithm from Examples

* Learning a color distance metric for region-based image segmentation

* Learning a Combined Model of Visual Saliency for Fixation Prediction

* Learning a compact latent representation of the Bag-of-Parts model

* Learning A Compositional Representation For Facade Object Categorization

* Learning a Confidence Measure for Optical Flow

* Learning a Context Aware Dictionary for Sparse Representation

* Learning a Contextual Multi-Thread Model for Movie/TV Scene Segmentation

* Learning a convolutional neural network for non-uniform motion blur removal

* Learning a decision boundary for face detection

* Learning a Deep Convolutional Network for Image Super-Resolution

* Learning a Deep Convolutional Network for Light-Field Image Super-Resolution

* Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories

* Learning a Descriptor-Specific 3D Keypoint Detector

* Learning a dictionary of deformable patches using GPUs

* Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines

* Learning a Dictionary of Shape Epitomes with Applications to Image Labeling

* Learning a discriminative classifier using shape context distances

* Learning a discriminative dictionary for sparse coding via label consistent K-SVD

* Learning a Discriminative Model for the Perception of Realism in Composite Images

* Learning a discriminative sparse tri-value transform

* Learning a distance metric from multi-instance multi-label data

* Learning a Factorized Segmental Representation of Far-Field Tracking Data

* Learning a Family of Detectors via Multiplicative Kernels

* Learning a Fast Emulator of a Binary Decision Process

* Learning a Fine Vocabulary

* Learning a Gaussian basis for spectra representation aimed at reflectance classification

* Learning a generic 3D face model from 2D image databases using incremental Structure-from-Motion

* Learning a geometry integrated image appearance manifold from a small training set

* Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects

* Learning a hierarchical compositional representation of multiple object classes

* Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing

* Learning a hierarchy of discriminative space-time neighborhood features for human action recognition

* Learning a hybrid similarity measure for image retrieval

* Learning a joint discriminative-generative model for action recognition

* Learning a Joint Manifold Representation from Multiple Data Sets

* Learning a Kinematic Prior for Tree-Based Filtering

* Learning a locality preserving subspace for visual recognition

* Learning a Mahalanobis distance metric for data clustering and classification

* Learning a Mahalanobis distance metric via regularized LDA for scene recognition

* Learning a manifold-constrained map between image sets: Applications to matching and pose estimation

* Learning a Manifold as an Atlas

* Learning a mixture model for clustering with the completed likelihood minimum message length criterion

* Learning a mixture of sparse distance metrics for classification and dimensionality reduction

* Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images

* Learning a Near-Optimal Estimator for Surface Shape from Shading

* Learning a New Statistical Shape Prior Model for Object Detection by Geodesic Active Contours

* Learning a non-linear combination of Mahalanobis distances using statistical inference for similarity measure

* Learning a non-linear knowledge transfer model for cross-view action recognition

* Learning a nonlinear distance metric for supervised region-merging image segmentation

* Learning a Nonnegative Sparse Graph for Linear Regression

* Learning a Part-Based Pedestrian Detector in a Virtual World

* Learning a Person-Independent Representation for Precise 3D Pose Estimation

* Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition

* Learning a Probabilistic Similarity Function for Segmentation

* Learning a Quality-Based Ranking for Feature Point Trajectories

* Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition

* Learning a restricted bayesian network for object detection

* Learning a Saliency Map for Fixation Prediction

* Learning a scene contextual model for tracking and abnormality detection

* Learning a selectivity-invariance-selectivity feature extraction architecture for images

* Learning a semantic space from user's relevance feedback for image retrieval

* Learning a sequential search for landmarks

* Learning a Similarity Based Distance Measure for Image Database Organization from Human Partitionings of an Image Set

* Learning a Similarity Constrained Discriminative Kernel Dictionary from Concatenated Low-Rank Features for Action Recognition

* Learning a Similarity Metric Discriminatively, with Application to Face Verification

* Learning a Single Active Face Shape Model across Views

* Learning a sparse dictionary of video structure for activity modeling

* Learning a Sparse Representation for Object Detection

* Learning a Sparse Representation from Multiple Still Images for On-Line Face Recognition in an Unconstrained Environment

* Learning a Sparse, Corner-Based Representation for Time-varying Background Modeling

* Learning a Spatially Smooth Subspace for Face Recognition

* Learning A Stable Structure To Describe Dynamic Texture

* Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts

* Learning a structured dictionary for video-based face recognition

* Learning A Superpixel-Driven Speed Function for Level Set Tracking

* Learning a Synchronous MAP for Improved Face Recognition

* Learning a temporally invariant representation for visual tracking

* Learning a Terrain Model for Autonomous Navigation in Rough Terrain

* Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection

* Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition

* Learning a wavelet tree for multichannel image denoising

* Learning a weighted semantic manifold for content-based image retrieval

* Learning AAM fitting through simulation

* Learning About A Scene Using an Active Vision System

* Learning action dictionaries from video

* Learning Action Primitives for Multi-level Video Event Understanding

* Learning action symbols for hierarchical grammar induction

* Learning Actionlet Ensemble for 3D Human Action Recognition

* Learning actions from the Web

* Learning Actions Using Robust String Kernels

* Learning Active Basis Model for Object Detection and Recognition

* Learning active facial patches for expression analysis

* Learning Active Shape Models for Bifurcating Contours

* Learning Activity Patterns Using Fuzzy Self-Organizing Neural Network

* Learning Adaptive and Sparse Representations of Medical Images

* Learning adaptive filter banks for hierarchical image representation

* Learning adaptive interpolation kernels for fast single-image super resolution

* Learning Adaptive Metric for Robust Visual Tracking

* Learning Affine Transformations of the Plane for Model-Based Object Recognition

* Learning affine transformations

* Learning affinities and dependencies for multi-target tracking using a CRF model

* Learning Affinity Functions for Image Segmentation: Combining Patch-Based and Gradient-Based Approaches

* Learning Affordances for Categorizing Objects and Their Properties

* Learning Age and Gender of Blogger from Stylistic Variation

* Learning Algorithm Based on Modified Structure of Pattern Classes

* Learning Algorithm for Boltzmann Machines, A

* learning algorithm for structured character pattern representation used in on-line recognition of handwritten Japanese characters, A

* Learning Algorithm for the Optimum-Path Forest Classifier, A

* Learning Algorithm of Environmental Recognition in Driving Vehicle

* Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector Machine Based Approaches

* Learning algorithms for extended models of Boltzmann machines

* Learning algorithms of form structure for Bayesian networks

* Learning an Aesthetic Photo Cropping Cascade

* Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection

* Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes

* Learning an Atlas from Unlabeled Point-Sets

* Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition

* Learning an efficient model of hand shape variation from depth images

* Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods

* Learning an Image-Based Motion Context for Multiple People Tracking

* Learning an Information Theoretic Transform for Object Detection

* Learning an Integral-Equation Approximation to Nonlinear Anisotropic Diffusion in Image-Processing

* Learning an interactive segmentation system

* Learning an Interest Operator from Human Eye Movements

* Learning an Object's Function by Observing the Object in Action

* Learning an object class representation on a continuous viewsphere

* Learning an Object Model for Feature Matching in Clutter

* Learning an Optimal Naive Bayes Classifier

* Learning an Orthogonal and Smooth Subspace for Image Classification

* Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

* Learning analytics system for assessing students' performance quality and text mining in online communication

* Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation

* Learning AND-OR Templates for Object Recognition and Detection

* Learning and Adaptation for Improving Handwritten Character Recognizers

* Learning and Association of Features for Action Recognition in Streaming Video

* Learning and Calibrating Per-Location Classifiers for Visual Place Recognition

* Learning and caricaturing the face space using self-organization and Hebbian learning for face processing

* Learning and Classification of Complex Dynamics

* Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis

* Learning and Combining Image Similarities for Neonatal Brain Population Studies

* Learning and Design of Principal Curves

* Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models

* Learning and Detection of Object Landmarks in Canonical Object Space

* Learning and Evaluating Visual Features for Pose Estimation

* Learning and Example Selection for Object and Pattern Detection

* Learning and extracting edges from images by a modified Hopfield neural network

* Learning and Feature Selection in Stereo Matching

* Learning and Forgetting with Local Information of New Objects

* Learning and Incorporating Top-Down Cues in Image Segmentation

* Learning and Inference in Parametric Switching Linear Dynamical Systems

* Learning and Inference of 3D Human Poses from Gaussian Mixture Modeled Silhouettes

* Learning and Inferring Image Segmentations Using the GBP Typical Cut Algorithm

* Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems

* Learning and matching human activities using regular expressions

* Learning and Matching Line Aspects for Articulated Objects

* Learning and matching multiscale template descriptors for real-time detection, localization and tracking

* Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition

* Learning and parsing video events with goal and intent prediction

* Learning and Predicting Moving Object Trajectory: A piecewise trajectory segment approach

* Learning and Prediction of Soft Object Deformation Using Visual Analysis of Robot Interactions

* Learning and Propagation of Dominant Colors for Fast Video Segmentation

* Learning and Reasoning by Analogy

* Learning and recognising 3d models represented by multiple views by means of methods based on random graphs

* Learning and Recognition of 3-D Objects from Brightness Images

* Learning and Recognition of 3D Objects from Appearance

* Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming

* Learning and Recognition of On-Premise Signs From Weakly Labeled Street View Images

* Learning and recognizing complex multi-agent activities with applications to american football plays

* Learning and Recognizing Human Dynamics in Video Sequences

* Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking

* Learning and Removing Cast Shadows through a Multidistribution Approach

* Learning and synthesizing human body motion and posture

* Learning and synthesizing MPEG-4 compatible 3-D face animation from video sequence

* Learning and the language of thought

* Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

* Learning and understanding dynamic scene activity: a review

* Learning and using taxonomies for fast visual categorization

* Learning and vision machines

* Learning appearance and transparency manifolds of occluded objects in layers

* Learning Appearance Features for Pain Detection Using the UNBC-McMaster Shoulder Pain Expression Archive Database

* Learning appearance in virtual scenarios for pedestrian detection

* Learning Appearance Manifolds from Video

* Learning Appearance Models for Object Recognition

* Learning Appearance Primitives of Iris Images for Ethnic Classification

* Learning Approach for Adaptive Image Segmentation, A

* Learning Approach to 3D Object Representation for Classification, A

* learning approach to discovering Web page semantic structures, A

* Learning Approach Towards Detection and Tracking of Lane Markings, A

* Learning articulated appearance models for tracking humans: A spectral graph matching approach

* Learning Articulated Structure and Motion

* Learning Artistic Lighting Template from Portrait Photographs

* Learning aspect models with partially labeled data

* Learning Assignment Order of Instances for the Constrained K-Means Clustering Algorithm

* Learning associate appearance manifolds for cross-pose face recognition

* Learning Association Fields from Natural Images

* Learning Atomic Human Actions Using Variable-Length Markov Models

* Learning attention based saliency in videos from human eye movements

* Learning attention map from images

* Learning Auto-Structured Regressor from Uncertain Nonnegative Labels

* Learning automata based classifier

* Learning automata for image segmentation

* Learning automatic concept detectors from online video

* Learning automatic video capture from human's camera operations

* Learning Background and Shadow Appearance with 3-D Vehicle Models

* Learning Balanced Trees for Large Scale Image Classification

* Learning Based Adaptive Denoising Approach for Image Interpolation

* Learning based alpha matting using support vector regression

* Learning Based Approach for 3D Segmentation and Colon Detagging, A

* learning based approach for dense stereo matching with IGMRF prior, A

* Learning based automatic face annotation for arbitrary poses and expressions from frontal images only

* Learning based coarse-to-fine image registration

* learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images, A

* Learning based Detection, segmentation and matching of objects

* Learning based digital matting

* Learning Based Interactive Image Segmentation

* Learning based on conceptual distance

* Learning Based Reconstruction of Grayscale Face Image from Far-Infrared Image

* Learning Based Relevance Feedback in Image Retrieval

* Learning Based Resolution Enhancement of Iris Images

* Learning Based System for Detection and Tracking of Vehicles

* Learning based video authentication using statistical local information

* Learning Basic Patterns from Repetitive Texture Surfaces Under Non-rigid Deformations

* Learning Bayesian Classifiers for Scene Classification With a Visual Grammar

* Learning Bayesian classifiers from positive and unlabeled examples

* Learning Bayesian network classifiers for credit scoring using Markov chain Monte Carlo search

* Learning Bayesian network classifiers for facial expression recognition using both labeled and unlabeled data

* Learning Bayesian network classifiers from label proportions

* Learning Bayesian network parameters under incomplete data with domain knowledge

* Learning Bayesian network structure using Markov blanket decomposition

* Learning Bayesian Networks by Evolution for Classifier Combination

* Learning Bayesian networks for clustering by means of constructive induction

* Learning Bayesian Networks for Cytogenetic Image Classification

* Learning Bayesian Networks with qualitative constraints

* Learning Bayesian tracking for motion estimation

* Learning beautiful (and ugly) attributes

* Learning Behavior Using Multiresolution Recurrent Neural Network

* Learning Behaviour Models of Human Activities

* Learning Behavioural Context

* Learning best views of 3D shapes from sketch contour

* Learning better image representations using flobject analysis

* Learning bias in neural networks and an approach to controlling its effect in monotonic classification

* Learning Bidimensional Context Dependent Models Using a Context Sensitive Language

* Learning Big (Image) Data via Coresets for Dictionaries

* Learning Bilinear Models for Two Factor Problems in Vision

* Learning binarized pixel-difference pattern for scene recognition

* Learning Binary Codes for Maximum Inner Product Search

* Learning Blackboard-Based Scheduling Algorithms for Computer Vision

* Learning Boosted Asymmetric Classifiers for Object Detection

* Learning bottom-up text attention maps for text detection using stroke width transform

* Learning boundaries with color and depth

* Learning Boundary and Appearance for Video Object Cutout

* Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow

* Learning Bundle Manifold by Double Neighborhood Graphs

* Learning by a Generation Approach to Appearance-Based Object Recognition

* Learning by Associating Ambiguously Labeled Images

* Learning by Sampling for White Blood Cells Segmentation

* Learning by Watching: Extracting Reusable Task Knowledge from Visual Observation of Human Performance

* Learning Canonical Correlations

* Learning Cascaded Reduced-Set SVMs Using Linear Programming

* Learning Cascaded Shared-Boost Classifiers for Part-Based Object Detection

* Learning Categorical Shape from Captioned Images

* Learning Categories From Few Examples With Multi Model Knowledge Transfer

* Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization

* Learning cell geometry models for cell image simulation: An unbiased approach

* Learning Chance Probability Functions for Shape Retrieval or Classification

* Learning Character Recognition by Localized Interpretation of Character-Images

* Learning class-specific affinities for image labelling

* Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball

* Learning Class-Specific Edges for Object Detection and Segmentation

* Learning class-specific image transformations with higher-order Boltzmann machines

* Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization

* Learning Class-to-Image Distance with Object Matchings

* Learning class probabilities from labeled data

* Learning Class Regions by the Union of Ellipsoids

* Learning Class Specific Graph Prototypes

* Learning classes for video interpretation with a robust parallel clustering method

* Learning Classifier System on a humanoid NAO robot in dynamic environments

* Learning classifiers from imbalanced data based on biased minimax probability machine

* Learning Co-occurrence of Local Spatial Strokes for Robust Character Recognition

* Learning co-occurrence strokes for scene character recognition based on spatiality embedded dictionary

* Learning Co-relations of Plausible Verb Arguments with a WSM and a Distributional Thesaurus

* Learning coarse-to-fine sparselets for efficient object detection and scene classification

* Learning codebook weights for action detection

* Learning Collections of Part Models for Object Recognition

* Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents

* Learning color and locality cues for moving object detection and segmentation

* Learning color image expansion filters

* Learning Color Names for Real-World Applications

* Learning Color Names from Real-World Images

* Learning Combination of Evidence Functions in Object Recognition

* Learning combined similarity measures from user data for image retrieval

* Learning common behaviors from large sets of unlabeled temporal series

* Learning Common Sense through Visual Abstraction

* Learning Compact Binary Codes for Visual Tracking

* Learning Compact Binary Face Descriptor for Face Recognition

* Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition

* Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure

* Learning Compact Visual Attributes for Large-Scale Image Classification

* Learning Compact Visual Descriptors for Low Bit Rate Mobile Landmark Search

* Learning Compatibility Coefficients for Relaxation Labeling Processes

* Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes

* Learning complex background by multi-scale discriminative model

* Learning complex image patterns with Scale and Shift Invariant Sparse Coding

* Learning Complex Structural Descriptions from Examples

* Learning Complexity-Aware Cascades for Deep Pedestrian Detection

* Learning Component-Level Sparse Representation for Image and Video Categorization

* Learning component-level sparse representation using histogram information for image classification

* Learning Compositional Categorization Models

* Learning compressed image classification features

* Learning Computational Models of Video Memorability from fMRI Brain Imaging

* Learning Concept Embeddings with Combined Human-Machine Expertise

* Learning Concepts by Modeling Relationships

* Learning Conditional Random Fields for Classification of Hyperspectral Images

* Learning Conditional Random Fields for Stereo

* Learning confidence transformation for handwritten Chinese text recognition

* Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval

* Learning content-social influential features for influence analysis

* Learning context-aware sparse representation for single image super-resolution

* Learning context-free grammars using tabular representations

* Learning Context-Sensitive Shape Similarity by Graph Transduction

* Learning context-sensitive similarity by shortest path propagation

* Learning Context Cues for Synapse Segmentation

* Learning context for collective activity recognition

* Learning context sensitive similarity measure on pair fusion graph

* Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks

* Learning contextual relationships in mammograms using a hierarchical pyramid neural network

* Learning contextual rules for priming object categories in images

* Learning Contextual Variations for Video Segmentation

* Learning contour-fragment-based shape model with And-Or tree representation

* Learning contrastive feature distribution model for interaction recognition

* Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition

* Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification

* Learning Correspondences Between Visual Features and Functional Features

* Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative

* Learning coupled conditional random field for image decomposition with application on object categorization

* Learning Coupled Feature Spaces for Cross-Modal Matching

* Learning CRFs for Image Parsing with Adaptive Subgradient Descent

* Learning CRFs Using Graph Cuts

* Learning criterion and inductive behaviour

* Learning crop regions for content-aware generation of thumbnail images

* Learning Cross-Domain Information Transfer for Location Recognition and Clustering

* Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization

* Learning cross-modality similarity for multinomial data

* Learning Cross Space Mapping via DNN Using Large Scale Click-Through Logs

* Learning crowd behavior for event recognition

* Learning Crowdsourced User Preferences for Visual Summarization of Image Collections

* Learning Curves for the Analysis of Multiple Instance Classifiers

* Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition

* Learning decision trees with taxonomy of propositionalized attributes

* Learning Deconvolution Network for Semantic Segmentation

* Learning deep-sea substrate types with visual topic models

* Learning deep architectures for AI

* Learning deep compact descriptor with bagging auto-encoders for object retrieval

* Learning Deep Dictionary for Hyperspectral Image Denoising

* Learning deep features for image emotion classification

* Learning Deep Features for Multiple Object Tracking by Using a Multi-Task Learning Strategy

* Learning Deep Object Detectors from 3D Models

* Learning Deep Representation for Face Alignment with Auxiliary Attributes

* Learning Deep Representation with Large-Scale Attributes

* Learning deep representations for ground-to-aerial geolocalization

* Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

* Learning deformable action templates from cluttered videos

* Learning Deformable Models for Tracking the Human Body

* Learning deformable shape manifolds

* Learning Deformations of Human Arm Movement to Adapt to Environmental Constraints

* Learning Deformations with Parallel Transport

* Learning denoising bounds for noisy images

* Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction

* Learning Depth Calibration of Time-of-Flight Cameras

* Learning depth from a single image using visual-depth words

* Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

* Learning Depth from Stereo

* Learning descriptive visual representation for image classification and annotation

* Learning descriptors for object recognition and 3D pose estimation

* Learning Detectors Quickly with Stationary Statistics

* Learning Deterministic Finite Automata with a Smart State Labeling Evolutionary Algorithm

* Learning diagram parts with hidden random fields

* Learning Dictionaries for Matching Pursuits Based Video Coders

* Learning Dictionaries of Discriminative Image Patches

* Learning Dictionaries With Bounded Self-Coherence

* Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation

* Learning dictionary on manifolds for image classification

* Learning dictionary via subspace segmentation for sparse representation

* Learning dimensionality and orientations of 3D objects

* Learning Directed Intention-driven Activities using Co-Clustering

* Learning Directional Local Pairwise Bases with Sparse Coding

* Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection

* Learning Discriminant Face Descriptor for Face Recognition

* Learning Discriminant Face Descriptor

* Learning Discriminating Features for Gender Recognition of Real World Faces

* Learning Discriminative and Shareable Features for Scene Classification

* Learning Discriminative Canonical Correlations for Object Recognition with Image Sets

* Learning Discriminative Chamfer Regularization

* Learning Discriminative Collections of Part Detectors for Object Recognition

* Learning discriminative dictionaries with partially labeled data

* Learning Discriminative Dictionary for Group Sparse Representation

* Learning discriminative features and metrics for measuring action similarity

* Learning Discriminative Features Based on Distribution

* Learning discriminative features for fast frame-based action recognition

* Learning Discriminative Features for Ground-Based Cloud Classification via Mutual Information Maximization

* Learning Discriminative Hidden Structural Parts for Visual Tracking

* Learning Discriminative Hierarchical Features for Object Recognition

* Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions

* Learning Discriminative Key Poses for Action Recognition

* Learning Discriminative LBP-Histogram Bins for Facial Expression Recognition

* Learning discriminative local binary patterns for face recognition

* Learning Discriminative Local Patterns with Unrestricted Structure for Face Recognition

* Learning discriminative localization from weakly labeled data

* Learning discriminative occlusion feature for depth ordering inference on monocular image

* Learning Discriminative Part Detectors for Image Classification and Cosegmentation

* Learning Discriminative Pattern for Real-Time Car Brand Recognition

* Learning Discriminative Reconstructions for Unsupervised Outlier Removal

* Learning discriminative singular value decomposition representation for face recognition

* Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos

* Learning discriminative space-time actions from weakly labelled videos

* Learning Discriminative Sparse Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery

* Learning Discriminative Spatial Relations for Detector Dictionaries: An Application to Pedestrian Detection

* Learning discriminative spatial representation for image classification

* Learning Discriminative Spectral Bands for Material Classification

* Learning Discriminative Visual N-grams from Mid-level Image Features

* Learning Discriminatively Reconstructed Source Data for Object Recognition With Few Examples

* Learning distance functions for image retrieval

* Learning distance metric for semi-supervised image segmentation

* Learning distance metric regression for facial age estimation

* Learning Distance Metrics with Contextual Constraints for Image Retrieval

* Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images

* Learning Distances for Arbitrary Visual Features

* Learning document structure for retrieval and classification

* Learning Domain Knowledge for Façade Labelling

* Learning doubly sparse transforms for image representation

* Learning Doubly Sparse Transforms for Images

* Learning dynamic Bayesian network discriminatively for human activity recognition

* Learning dynamic Bayesian network models via cross-validation

* Learning Dynamic Event Descriptions in Image Sequences

* Learning Dynamic Hybrid Markov Random Field for Image Labeling

* Learning Dynamical Shape Prior for Level Set based Cell Tracking

* Learning dynamics for exemplar-based gesture recognition

* Learning Dynamics of Complex Motions from Image Sequences

* Learning Early-Vision Computations

* Learning Edge-Specific Kernel Functions For Pairwise Graph Matching

* Learning effective classifiers with Z-value measure based on genetic programming

* Learning effective color features for content based image retrieval in dermatology

* Learning Effective Event Models to Recognize a Large Number of Human Actions

* Learning effective features for 3D face recognition

* Learning effective human pose estimation from inaccurate annotation

* Learning Effective Image Metrics from Few Pairwise Examples

* Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition

* Learning efficient codes for 3D face recognition

* Learning Efficient Linear Predictors for Motion Estimation

* Learning Efficient Sparse and Low Rank Models

* Learning Efficiently- The Deep CNNs-Tree Network

* Learning Enhanced 3d Models for Vehicle Tracking

* Learning ensemble classifiers via restricted Boltzmann machines

* Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables

* learning environment for sign language, A

* Learning environmental features for pose estimation

* Learning epipolar geometry from image sequences

* Learning equivariant structured output SVM regressors

* Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification

* Learning Everyday Manipulation Tasks from Observation

* Learning Everything about Anything: Webly-Supervised Visual Concept Learning

* Learning Exemplar-Based Categorization for the Detection of Multi-View Multi-Pose Objects

* Learning explicit and implicit visual manifolds by information projection

* Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

* Learning Face Appearance under Different Lighting Conditions

* Learning Face Detection, Neural Nets, SVM

* Learning Fast Emulators of Binary Decision Processes

* Learning Feature Characteristics

* Learning Feature Distance Measures for Image Correspondences

* Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework

* Learning feature fusion strategies for various image types to detect salient objects

* Learning Feature Hierarchies: A Layer-Wise Tag-Embedded Approach

* Learning feature relevance and similarity metrics in image databases

* Learning Feature Subspaces for Appearance-Based Bundle Adjustment

* Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition

* Learning feature transforms is an easier problem than feature selection

* Learning feature weights of symbols, with application to symbol spotting

* Learning Features and Parts for Fine-Grained Recognition

* Learning Features for Fingerprint Classification

* Learning Features for Human Action Recognition Using Multilayer Architectures

* Learning features for predicting OCR accuracy

* Learning features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature

* Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine

* Learning Features for Tracking

* Learning features on robotic surgical tools

* Learning filters in Gaussian process classification problems

* Learning Fine-Grained Image Similarity with Deep Ranking

* Learning fingerprint minutiae location and type

* Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines

* Learning Flexible Binary Code for Linear Projection Based Hashing with Random Forest

* Learning Flexible Features for Conditional Random Fields

* Learning Flexible Models from Image Sequences

* Learning Flexible Sprites in Video Layers

* Learning for feature selection and shape detection

* Learning for Human Action Recognition and Detection

* Learning for Multi-view 3D Tracking in the Context of Particle Filters

* Learning for Optical Flow Using Stochastic Optimization

* Learning for Principal Components, Eigen Representations

* Learning for stereo vision using the structured support vector machine

* Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

* Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments

* Learning Framework for Age Rank Estimation Based on Face Images With Scattering Transform, A

* learning framework for degraded document image binarization using Markov Random Field, A

* Learning Framework for Morphological Operators Using Counter-Harmonic Mean, A

* Learning Framework for Object Recognition on Image Understanding, A

* learning framework for robust hashing of face images, A

* Learning Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images, A

* learning framework for the optimization and automation of document binarization methods, A

* Learning Frequent Behaviors of the Users in Intelligent Environments

* Learning from a single labeled face and a stream of unlabeled data

* Learning From a Small Number of Training Examples by Exploiting Object Categories

* Learning from adaptive neural control for a class of pure-feedback systems

* Learning from ambiguously labeled images

* Learning From Errors in Super-Resolution

* Learning From Examples in the Small Sample Case: Face Expression Recognition

* Learning from High-Dimensional Data in Multitask/Multilabel Classification

* Learning from Ideal Edge for Image Restoration

* Learning from interpolated images using neural networks for digital forensics

* Learning from Labeled and Unlabeled Data Using Random Walks

* Learning from massive noisy labeled data for image classification

* Learning from Mistakes: Object Movement Classification by the Boosted Features

* Learning from mobile contexts to minimize the mobile location search latency

* Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces

* Learning from multiple annotators: Distinguishing good from random labelers

* Learning from Multiple Sources for Video Summarisation

* Learning from negative example in relevance feedback for content-based image retrieval

* Learning from One Example through Shared Densities on Transforms

* Learning from partially supervised data using mixture models and belief functions

* Learning from Real Images to Model Lighting Variations for Face Images

* Learning from rehabilitation: A bi-manual interface approach

* Learning from summaries of videos: Applying batch mode active learning to face-based biometrics

* Learning from the Schema Learning System

* Learning from User Behavior in Image Retrieval: Application of Market Basket Analysis

* Learning from weakly labeled faces and video in the wild

* Learning Full Pairwise Affinities for Spectral Segmentation

* Learning function-based object classification from 3D imagery

* Learning Fuzzy Algorithm for Motion Planning of Mobile Robots

* Learning Gabor Magnitude Features for Palmprint Recognition

* Learning Gaussian Conditional Random Fields for Low-Level Vision

* Learning gaze biases with head motion for head pose-free gaze estimation

* Learning gender from human gaits and faces

* Learning Gender with Support Faces

* Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold

* Learning general optical flow subspaces for egomotion estimation and detection of motion anomalies

* Learning Generative Graph Prototypes Using Simplified von Neumann Entropy

* Learning Generative Models for Monocular Body Pose Estimation

* Learning Generative Models for Multi-Activity Body Pose Estimation

* Learning Generative Models of Object Parts from a Few Positive Examples

* Learning Generative Models of Scene Features

* Learning Generative Models via Discriminative Approaches

* Learning generative texture models with extended Fields-of-experts

* Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

* Learning Generic Human Body Models

* Learning Generic Invariances in Object Recognition: Translation and Scale

* Learning Generic Prior Models for Visual Computation

* Learning generic third-order MGRF texture models

* Learning geodesic CRF model for image segmentation

* Learning Geographical Hierarchy Features via a Compositional Model

* Learning Geometric Hashing Functions for Model Based Object Recognition

* Learning geometrical transforms between multi camera views using Canonical Correlation Analysis

* Learning Geometry-Aware Kernels in a Regularization Framework

* Learning Gestures for Visually Mediated Interaction

* Learning global cost function for face alignment

* Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification

* Learning GMM Using Elliptically Contoured Distributions

* Learning GMRF Structures for Spatial Priors

* Learning good features for Active Shape Models

* Learning good prototypes for classification using filtering and abstraction of instances

* Learning Good Regions to Deblur Images

* Learning grammar rules of building parts from precise models and noisy observations

* Learning Grammars for Architecture-Specific Facade Parsing

* Learning Grammatical Models for Object Recognition

* Learning graph-matching edit-costs based on the optimality of the oracle's node correspondences

* Learning Graph-Matching Substitution Costs Based on the Optimality of the Oracle's Correspondence

* Learning Graph Cut Energy Functions for Image Segmentation

* Learning Graph Matching

* Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes

* Learning Graph Model for Different Dimensions Image Matching

* Learning graph prototypes for shape recognition

* Learning graph structure for multi-label image classification via clique generation

* Learning Graphical Model for Human Motion Characterization Using Genetic Optimization

* Learning Graphical Model Parameters with Approximate Marginal Inference

* Learning Graphs to Match

* Learning Graphs to Model Visual Objects across Different Depictive Styles

* Learning group-based dictionaries for discriminative image representation

* Learning group-based sparse and low-rank representation for hyperspectral image classification

* Learning Group Activity in Soccer Videos from Local Motion

* Learning Grouping Strategies for 2D and 3D Object Recognition

* Learning Hand/Eye Coordination By an Active Observer

* Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning

* Learning handwriting with pen-based systems: computational issues

* Learning Handwritten Digit Recognition by the Max-Min Posterior Pseudo-Probabilities Method

* Learning Hash Codes with Listwise Supervision

* Learning Hidden Semantic Cues Using Support Vector Clustering

* Learning hierarchical 3D kernel descriptors for RGB-D action recognition

* Learning Hierarchical Bag of Words Using Naive Bayes Clustering

* Learning Hierarchical Feature Representation in Depth Image

* Learning Hierarchical Features for Scene Labeling

* Learning Hierarchical Image Representation with Sparsity, Saliency and Locality

* Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

* Learning Hierarchical Models of Scenes, Objects, and Parts

* Learning hierarchical poselets for human parsing

* Learning hierarchical representations for face verification with convolutional deep belief networks

* Learning Hierarchical Representations of Objects

* Learning Hierarchical Semantic Description Via Mixed-Norm Regularization for Image Understanding

* Learning Hierarchical Shape Models from Examples

* Learning hierarchical similarity metrics

* Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging

* Learning hierarchical spatio-temporal pattern for human activity prediction

* Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification

* Learning high-dimensional image statistics for abnormality detection on medical images

* Learning high-dimensional networks with nonlinear interactions by a novel tree-embedded graphical model

* Learning High-Level Feature by Deep Belief Networks for 3-D Model Retrieval and Recognition

* Learning High-level Features for Satellite Image Classification With Limited Labeled Samples

* Learning high-level independent components of images through a spectral representation

* Learning High-Level Judgments of Urban Perception

* Learning High-Order Structures for Texture Retrieval

* Learning Higher-Order Markov Models for Object Tracking in Image Sequences

* Learning Higher-order Transition Models in Medium-scale Camera Networks

* Learning histopathological regions of interest by fusing bottom-up and top-down information

* Learning Hough Forest with Depth-Encoded Context for Object Detection

* Learning Hough Transform with Latent Structures for Joint Object Detection and Pose Estimation

* Learning How to Combine Internal and External Denoising Methods

* Learning how to combine sensory-motor functions into a robust behavior

* Learning how to find patterns or objects in complex scenes

* Learning how to inpaint from global image statistics

* Learning Human-Like Opponent Behavior for Interactive Computer Games

* Learning Human Actions by Combining Global Dynamics and Local Appearance

* Learning human actions via information maximization

* Learning human behaviour patterns in work environments

* Learning human face detection in cluttered scenes

* Learning Human Interaction by Interactive Phrases

* Learning human motion models from unsegmented videos

* Learning human preferences to sharpen images

* Learning Human Priors for Task-Constrained Grasping

* Learning human shape model from multiple databases with correspondence considering kinematic consensus

* Learning Hybrid Image Templates (HIT) by Information Projection

* Learning Hybrid Part Filters for Scene Recognition

* Learning Hypergraph-regularized Attribute Predictors

* Learning HyperSurfaces with Neural Networks

* Learning Illumination Models While Tracking

* Learning image-specific parameters for interactive segmentation

* Learning image alignment without local minima for face detection and tracking

* Learning Image Anchor Templates for Document Classification and Data Extraction

* Learning Image and User Features for Recommendation in Social Networks

* Learning Image Annotation: The Cite System

* Learning Image Context for Improved Computer-Aided Diagnosis

* Learning image descriptors for matching based on Haar features

* Learning Image Descriptors with Boosting

* Learning Image Feature Extraction: Modeling, Tracking and Predicting Human Performance

* Learning image manifold using neighboring similarity integration

* Learning image representations from the pixel level via hierarchical sparse coding

* Learning Image Representations Tied to Ego-Motion

* Learning image similarities via Probabilistic Feature Matching

* Learning Image Similarity from Flickr Groups Using Fast Kernel Machines

* Learning image similarity from Flickr groups using Stochastic Intersection Kernel Machines

* Learning Image Statistics for Bayesian Tracking

* Learning Image Structures for Optimizing Disparity Estimation

* Learning Image to Symbol Conversion

* Learning Image Transformations without Training Examples

* Learning image Vicept description via mixed-norm regularization for large scale semantic image search

* Learning images using compositional pattern-producing neural networks for source camera identification and digital demographic diagnosis

* Learning IMED via shift-invariant transformation

* Learning Implicit Transfer for Person Re-identification

* Learning Important Spatial Pooling Regions for Scene Classification

* Learning in a self-organising pattern formation system

* Learning in an Active Hybrid Vision System

* Learning in Computer Vision

* Learning in Computer Vision: Some Thoughts

* Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?

* Learning in hidden annotation-based image retrieval

* Learning in imbalanced relational data

* Learning in Navigation: Goal Finding in Graphs

* Learning in Pattern Recognition: Some Thoughts

* Learning in Random Nets

* Learning in Region-Based Image Retrieval with Generalized Support Vector Machines

* Learning in Robot Vision Directed Reaching: A Comparison of Methods

* Learning in Syntactic Recognition of Symbols Drawn on a Graphic Tablet

* Learning in Target Tracking Techniques, Motion Model

* Learning Indexing Functions for 3-D Model-Based Object Recognition

* Learning individual-specific dictionaries with fused multiple features for face recognition

* Learning Informative Edge Maps for Indoor Scene Layout Prediction

* Learning informative point classes for the acquisition of object model maps

* Learning Inhomogeneous FRAME Models for Object Patterns

* Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy

* Learning initial feature weights for CBIR using query augmentation

* Learning instance-to-class distance for human action recognition

* Learning integrated online indexing for image databases

* Learning integrated perception-based speed control

* Learning inter-related visual dictionary for object recognition

* Learning interaction protocols by mimicking understanding and reproducing human interactive behavior

* Learning Interpolation via Regional Map for Pan-Sharpening

* Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning

* Learning Intrusion Detection: Supervised or Unsupervised?

* Learning invariance through imitation

* Learning invariances with Stationary Subspace Analysis

* Learning Invariant Color Features for Person Reidentification

* Learning invariant color features with sparse topographic restricted Boltzmann machines

* Learning Invariant Feature Hierarchies

* Learning invariant features through topographic filter maps

* Learning invariant region descriptor operators with genetic programming and the F-measure

* Learning invariant structure for object identification by using graph methods

* Learning invariants to illumination changes typical of indoor environments: Application to image color correction

* Learning Iteration-wise Generalized Shrinkage: Thresholding Operators for Blind Deconvolution

* Learning Iterative Strategies in Multi-Expert Systems Using SVMs for Digit Recognition

* Learning iteratively a classifier with the Bayesian Model Averaging Principle

* Learning Joint Intensity-Depth Sparse Representations

* Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference

* Learning Kernel Expansions for Image Classification

* Learning Kernel in Kernel-Based LDA for Face Recognition Under Illumination Variations

* Learning kernel logistic regression in the presence of class label noise

* Learning kernel parameters for kernel Fisher discriminant analysis

* Learning Kernel Subspace Classifier

* Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition

* Learning kernels for variants of normalized cuts: Convex relaxations and applications

* Learning kernels from labels with ideal regularization

* Learning Knowledge-Directed Visual Strategies

* Learning Large-Scale Automatic Image Colorization

* Learning large margin likelihoods for realtime head pose tracking

* Learning Latent Constituents for Recognition of Group Activities in Video

* Learning latent temporal structure for complex event detection

* Learning Layered Motion Segmentation of Video

* Learning Layered Motion Segmentations of Video

* Learning LBP structure by maximizing the conditional mutual information

* Learning lightness from human judgement on relative reflectance

* Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

* Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors

* Learning linear parameter-varying control of small-scale helicopter using episodic natural actor-critic method

* Learning linear PCA with convex semi-definite programming

* Learning Local Appearances With Sparse Representation for Robust and Fast Visual Tracking

* Learning local binary patterns for gender classification on real-world face images

* Learning Local Evidence for Shading and Reflectance

* Learning Local Feature Descriptors Using Convex Optimisation

* Learning local image descriptors for word spotting

* Learning local image descriptors using binary decision trees

* Learning Local Image Descriptors

* Learning Local Languages and Their Application to DNA Sequence Analysis

* Learning local models for 2D human motion tracking

* Learning Local Objective Functions for Robust Face Model Fitting

* Learning Local Patch Orientation with a Cascade of Sparse Regressors

* Learning local pixel structure for face hallucination

* Learning locality-constrained collaborative representation for robust face recognition

* Learning Localized Perceptual Similarity Metrics for Interactive Categorization

* Learning Locally-Adaptive Decision Functions for Person Verification

* Learning Logic Rules for Scene Interpretation Based on Markov Logic Networks

* Learning long term face aging patterns from partially dense aging databases

* Learning Low-Level Vision

* Learning low-rank and discriminative dictionary for image classification

* Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances

* Learning Major Pedestrian Flows in Crowded Scenes

* Learning mappings for face synthesis from near infrared to visual light images

* Learning Maps for Indoor Mobile Robot Navigation

* Learning Markov Networks by Analytic Center Cutting Plane Method

* Learning Matrix Space Image Representations

* Learning Maximum Margin Temporal Warping for Action Recognition

* Learning Mechanism for Parts Recognition in an Intelligent Assembly System, A

* Learning Membership Functions in a Function-Based Object Recognition System

* Learning message-passing inference machines for structured prediction

* learning method for association between vision and ego-motion which is Capable of Adapting to Arbitrary Image Distortion, A

* Learning Method for Definite Canonicalization Based on Minimum Classification Error, A

* Learning methods for generic object recognition with invariance to pose and lighting

* Learning methods for melanoma recognition

* Learning metric-topological maps for indoor mobile robot navigation

* Learning Metrics for Shape Classification and Discrimination

* Learning mid-level features for recognition

* Learning mid-level features from object hierarchy for image classification

* Learning Mid-level Filters for Person Re-identification

* Learning Midlevel Image Features for Natural Scene and Texture Classification

* Learning Minutiae Neighborhoods: A New Binary Representation for Matching Fingerprints

* Learning mixed-state Markov models for statistical motion texture tracking

* Learning mixed templates for object recognition

* Learning Mixture Models for Gender Classification Based on Facial Surface Normals

* Learning mixture models using a genetic version of the EM algorithm

* Learning mixture models with support vector machines for sequence classification and segmentation

* Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition

* Learning mixtures of point distribution models with the EM algorithm

* Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length

* Learning modality-invariant features for heterogeneous face recognition

* Learning Model Complexity in an Online Environment

* Learning Model Descriptions

* learning model for multiple-prototype classification of strings, A

* Learning Model Structure from Data: An Application to On-Line Handwriting

* Learning Models for Object Recognition from Natural Language Descriptions

* Learning Models for Object Recognition

* Learning Models for Predicting Recognition Performance

* Learning Models of Animal Behaviour for a Robotic Sheepdog

* Learning modes of structural variation in graphs

* Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance

* Learning moods and emotions from color combinations

* Learning Motion Categories using both Semantic and Structural Information

* Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter

* Learning Motion from Images

* Learning motion patterns in crowded scenes using motion flow field

* Learning Motion Patterns in Surveillance Video using HMM Clustering

* Learning motion trajectories via self-organization

* Learning Moving Cast Shadows for Foreground Detection

* Learning Multi-category Classification in Bayesian Framework

* Learning multi-kernel distance functions using relative comparisons

* Learning multi-label scene classification

* Learning multi-lane trajectories using vehicle-based vision

* Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition

* Learning multi-planar scene models in multi-camera videos

* Learning Multi-scale Block Local Binary Patterns for Face Recognition

* Learning Multi-scale Representations for Material Classification

* Learning multi-scale sparse representation for visual tracking

* Learning multi-view correspondences from temporal coincidences

* Learning Multi-view Correspondences via Subspace-Based Temporal Coincidences

* Learning Multidimensional Signal Processing

* Learning Multimodal Dictionaries

* Learning Multimodal Latent Attributes

* Learning Multiple Complex Features Based on Classification Results

* Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution

* Learning Multiple Non-linear Sub-spaces Using K-RBMs

* Learning Multiple Relative Attributes With Humans in the Loop

* Learning Multiple Views with Orthogonal Denoising Autoencoders

* Learning multiple visual tasks while discovering their structure

* Learning Multiscale Active Facial Patches for Expression Analysis

* Learning multiscale and deep representations for classifying remotely sensed imagery

* Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes

* Learning Multivariate Distributions by Competitive Assembly of Marginals

* Learning Multiview Face Subspaces and Facial Pose Estimation Using Independent Component Analysis

* Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering

* Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model

* Learning Naive Bayes Classifiers for Music Classification and Retrieval

* Learning natural scene categories by selective multi-scale feature extraction

* Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

* Learning neighborhood cooccurrence statistics of sparse features for human activity recognition

* Learning Neighborhood Discriminative Manifolds for Video-Based Face Recognition

* Learning Networks for Face Analysis and Synthesis

* Learning New Parts for Landmark Localization in Whole-Body CT Scans

* Learning New Principles from Precedents and Exercises

* Learning Non-coplanar Scene Models by Exploring the Height Variation of Tracked Objects

* Learning Non-Generative Grammatical Models for Document Analysis

* Learning Non-linear Calibration for Score Fusion with Applications to Image and Video Classification

* Learning Non-linear Dynamical Systems by Alignment of Local Linear Models

* Learning Non-linear Reconstruction Models for Image Set Classification

* Learning non-local range Markov Random field for image restoration

* Learning non-Markovian constraints for handwriting recognition

* Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion

* Learning non-negative locality-constrained Linear Coding for human action recognition

* Learning Non-Negative Sparse Image Codes by Convex Programming

* Learning Non-stationary System Dynamics Online Using Gaussian Processes

* Learning non-target items for interesting clothes segmentation in fashion images

* Learning nonlinear distance functions using neural network for regression with application to robust human age estimation

* Learning Nonlinear Functions Using Regularized Greedy Forest

* Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models

* Learning Nonlinear Manifolds from Time Series

* Learning Nonlinear Manifolds of Dynamic Textures

* Learning Nonlinear Spectral Filters for Color Image Reconstruction

* Learning novel views to a single face image

* Learning Object-Independent Modes of Variation with Feature Flow Fields

* Learning object-specific DAGs for multi-label material recognition

* Learning Object-to-Class Kernels for Scene Classification

* Learning Object Appearance from Occlusions Using Structure and Motion Recovery

* Learning Object Categories from Google's Image Search

* Learning Object Categories From Internet Image Searches

* Learning object class detectors from weakly annotated video

* Learning object classes from structure

* Learning object color models from multi-view constraints

* Learning Object Color under Varying Outdoor Illumination

* Learning Object Descriptions, Object Recognition

* Learning Object Detection from a Small Number of Examples: The Importance of Good Features

* Learning object intrinsic structure for robust visual tracking

* Learning Object Location Predictors with Boosting and Grammar-guided Feature Extraction

* Learning Object Material Categories via Pairwise Discriminant Analysis

* Learning Object Models from Appearance

* Learning Object Models from Graph Templates

* Learning Object Models From Visual Observation and Background Knowledge

* Learning object motion patterns for anomaly detection and improved object detection

* Learning Object Recognition Models from Images

* Learning Object Recognition Strategies

* Learning object relationships via graph-based context model

* Learning Object Representations from Lighting Variations

* Learning object segmentation from video data

* Learning Object Shape: From Drawings to Images

* Learning Objects and Grasp Affordances through Autonomous Exploration

* Learning occlusion patterns using semantic phrases for object detection

* Learning occlusion with likelihoods for visual tracking

* Learning of a robusted nearest neighbor classifier using multiple training data

* Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images

* Learning of context-aware single image super-resolution

* Learning of context-sensitive languages described by augmented regular expressions

* Learning of face components in coherent and disturbed constellations

* Learning of Graphical Models and Efficient Inference for Object Class Recognition

* Learning of invariant object recognition in hierarchical neural networks using temporal continuity

* Learning of Multilabel Classifiers

* Learning of Multimodal Representations With Random Walks on the Click Graph

* Learning of Optimal Illumination for Material Classification

* Learning of Pattern-Based Rules for Document Classification

* Learning of Patterns and Picture Languages

* Learning of perceptual grouping for object segmentation on RGB-D data

* Learning of Prototypes and Decision Boundaries for a Verification Problem Having Only Positive Samples

* Learning of Scene-Specific Object Detectors by Classifier Co-Grids

* Learning of structural descriptions of graphic symbols using deformable template matching

* Learning of structuring elements for morphological image model with a sparsity prior

* Learning of view-invariant pattern recognizer with temporal context

* Learning of Visual Modules from Examples: A Framework for Understanding Adaptive Visual Performance

* Learning on lie groups for invariant detection and tracking

* Learning on the Fly: A Font-Free Approach Toward Multilingual OCR

* Learning on the Fly: Font-Free Approaches to Difficult OCR Problems

* Learning One-Shot Exemplar SVM from the Web for Face Verification

* Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure

* Learning open loop control of complex motor tasks

* Learning OpenCV Computer Vision with the OpenCV Library

* Learning Operators for View-Independent Object Recognition

* Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D and 3D Echocardiography

* Learning Optical Flow

* Learning optimal classifier through fuzzy recognition rate maximization

* Learning Optimal Compact Codebook for Efficient Object Categorization

* Learning optimal data representation for cross-media retrieval

* Learning Optimal Embedded Cascades

* Learning Optimal Filter Representation for Texture Classification

* Learning Optimal Nonlinearities for Iterative Thresholding Algorithms

* Learning Optimal Parameters For Multi-target Tracking

* Learning Optimal Parameters for Self-Diagnosis in a System for Automatic Exterior Orientation

* Learning Optimal Seeds for Diffusion-Based Salient Object Detection

* Learning optimized MAP estimates in continuously-valued MRF models

* Learning ordinal discriminative features for age estimation

* Learning Ordinal Relationships for Mid-Level Vision

* Learning Outdoor Color Classification from Just One Training Image

* Learning Outdoor Color Classification

* Learning Output-kernel-dependent Regression for Human Pose Estimation

* Learning Over Multiple Temporal Scales in Image Databases

* Learning over Sets using Boosted Manifold Principal Angles (BoMPA)

* Learning over sets using kernel principal angles

* Learning overcomplete sparsifying transforms with block cosparsity

* Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation

* Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance

* Learning pairwise image similarities for multi-classification using Kernel Regression Trees

* Learning Pairwise Similarity for Data Clustering

* Learning Parameter Tuning for Object Extraction

* Learning parameterized histogram kernels on the simplex manifold for image and action classification

* Learning Parameterized Models of Image Motion

* Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding

* Learning Part-Based Models for Animation from Surface Motion Capture

* Learning partially-observed hidden conditional random fields for facial expression recognition

* Learning Partially Shared Dictionaries for Domain Adaptation

* Learning Partitioned Least Squares Filters for Fingerprint Enhancement

* Learning patch-dependent kernel forest for person re-identification

* Learning patch correspondences for improved viewpoint invariant face recognition

* Learning Patch Dependencies for Improved Pose Mismatched Face Verification

* Learning pattern transformation manifolds for classification

* Learning Patterns from Images by Combining Soft Decisions and Hard Decisions

* Learning patterns in terms of other patterns

* Learning Patterns of Activity Using Real-Time Tracking

* Learning PDEs for Image Restoration via Optimal Control

* Learning pedestrian dynamics from the real world

* Learning pedestrian models for silhouette refinement

* Learning Pedestrian Trajectories with Kernels

* Learning people co-occurrence relations by using relevance feedback for retrieving group photos

* Learning people detection models from few training samples

* Learning People Detectors for Tracking in Crowded Scenes

* Learning People Trajectories Using Semi-directional Statistics

* Learning Perceptual Organization with a Developmental Robot

* Learning Person-Person Interaction in Collective Activity Recognition

* Learning person-specific models for facial expression and action unit recognition

* Learning Personal Preference From Viewer's Operations for Browsing and Its Application to Baseball Video Retrieval and Summarization

* Learning Personal Specific Facial Dynamics for Face Recognition from Videos

* Learning Personalized Models for Facial Expression Analysis and Gesture Recognition

* Learning personalized video highlights from detailed MPEG-7 metadata

* Learning phase-rich features from streaming auditory images

* Learning photographic global tonal adjustment with a database of input-output image pairs

* Learning Photometric Invariance for Object Detection

* Learning photometric invariance from diversified color model ensembles

* Learning Physical Activities in Immersive Virtual Environments

* Learning Physical Descriptions from Functional Definitions, Examples, and Precedents

* Learning Physical Descriptions from Functional Descriptions

* Learning Pixel-Wise Signal Energy for Understanding Semantics

* Learning Policies for Efficiently Identifying Objects of Many Classes

* Learning polynomial function based neutral-emotion GMM transformation for emotional speaker recognition

* Learning Pose Dictionary for Human Action Recognition

* Learning Pre-attentive Driving Behaviour from Holistic Visual Features

* Learning Precise Local Boundaries in Images from Human Tracings

* Learning predictable binary codes for face indexing

* Learning Prior Knowledge and Observation Augmented Density Models for Human Behaviour Recognition

* Learning priors for calibrating families of stereo cameras

* Learning Probabilistic Approach for Object Segmentation, A

* Learning probabilistic decision trees for AUC

* Learning probabilistic deformation models from image sequences

* Learning Probabilistic Distribution Model for Multi-View Face Detection

* Learning Probabilistic Models for Contour Completion in Natural Images

* Learning Probabilistic Models of Contours

* Learning probabilistic models of tree edit distance

* Learning Probabilistic Structure for Human Motion Detection

* learning procedure for multisurface method of pattern separation, A

* Learning Process to the Identification of Feature Points on Chinese Characters, A

* Learning Prototype Hyperplanes for Face Verification in the Wild

* Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization

* Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition

* Learning Prototypes for On-Line Handwritten Digits

* Learning prototypical shapes for object categories

* Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems

* Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors, A

* Learning Pullback HMM Distances

* Learning Pullback metrics for linear models

* Learning Quadratic Discriminant Function for Handwritten Character Classification

* Learning Query-Dependent Distance Metrics for Interactive Image Retrieval

* Learning query-dependent prefilters for scalable image retrieval

* Learning Query-Specific Distance Functions for Large-Scale Web Image Search

* Learning Query and Image Similarities with Ranking Canonical Correlation Analysis

* Learning Race from Face: A Survey

* Learning ramp transformation for single image super-resolution

* Learning Rare Behaviours

* Learning rate schedules for self-organizing maps

* Learning Reaction-Diffusion Models for Image Inpainting

* Learning real-time MRF inference for image denoising

* Learning Real-Time Perspective Patch Rectification

* Learning realistic facial expressions from web images

* Learning realistic human actions from movies

* Learning Receptive Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images

* Learning Receptive Fields for Pooling from Tensors of Feature Response

* Learning Recognition and Segmentation of 3-D Objects from 2-D Images

* Learning Recognition and Segmentation Using the Cresceptron

* Learning reconfigurable hashing for diverse semantics

* Learning reconfigurable scene representation by tangram model

* Learning Reduced-Dimension Models of Human Actions

* Learning regional semantic concepts from incomplete annotation

* Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval

* Learning relational facts from the web: A tolerance rough set approach

* Learning Relational Grammars from Sequences of Actions

* Learning Relational Structures: Applications to Computer Vision

* Learning Relations among Movie Characters: A Social Network Perspective

* Learning Relative Aesthetic Quality with a Pairwise Approach

* Learning relative photometric differences of pairs of cameras

* Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding

* Learning Relevant Image Features With Multiple-Kernel Classification

* Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces

* Learning representations from multiple manifolds

* Learning representative and discriminative image representation by deep appearance and spatial coding

* Learning Representative Deep Features for Image Set Analysis

* Learning Representative Local Features for Face Detection

* Learning Rich Features from RGB-D Images for Object Detection and Segmentation

* Learning Rich Hidden Markov Models in Document Analysis: Table Location

* Learning robust color name models from web images

* Learning Robust Objective Functions for Model Fitting in Image Understanding Applications

* Learning Robust Objective Functions with Application to Face Model Fitting

* Learning Robust Similarity Measures for 3D Partial Shape Retrieval

* Learning Room Occupancy Patterns from Sparsely Recovered Light Transport Models

* Learning rotation-aware features: From invariant priors to equivariant descriptors

* Learning rotational features for filament detection

* Learning Rules for 3-D Object Recognition

* Learning Rules for Semantic Video Event Annotation

* Learning rules of a card game from video

* Learning Saccadic Gaze Control via Motion Prediciton

* Learning Salient Features For Real-Time Face Verification

* Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

* Learning salient visual word for scalable mobile image retrieval

* Learning Sample Specific Weights for Late Fusion

* Learning sample subspace with application to face detection

* Learning Scalable Discriminative Dictionary with Sample Relatedness

* Learning scale ranges for the extraction of regions of interest

* Learning scene-specific pedestrian detectors without real data

* Learning scene categories from high resolution satellite image for aerial video analysis

* Learning Scene Context for Multiple Object Tracking

* Learning Scene Entries and Exits Using Coherent Motion Regions

* Learning Scene Semantics Using Fiedler Embedding

* Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes, A

* Learning Science Using AR Book: A Preliminary Study on Visual Needs of Deaf Learners

* Learning Segmentation of Documents with Complex Scripts

* Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval

* Learning Semantic Binary Codes by Encoding Attributes for Image Retrieval

* Learning Semantic Correlations for Cross-Media Retrieval

* Learning semantic embedding at a large scale

* Learning semantic features for action recognition via diffusion maps

* Learning semantic models and grammar rules of building parts

* Learning semantic object parts for object categorization

* Learning Semantic Patterns with Discriminant Localized Binary Projections

* Learning semantic relationships for better action retrieval in images

* Learning semantic scene models by object classification and trajectory clustering

* Learning Semantic Scene Models by Trajectory Analysis

* Learning Semantic Scene Models From Observing Activity in Visual Surveillance

* Learning Semantic Signatures for 3D Object Retrieval

* Learning semantic visual concepts from video

* Learning semantic visual vocabularies using diffusion distance

* Learning semantics from multimedia content

* Learning Semantics From Multimedia Web Resources: An Introduction to the Special Issue

* Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning

* Learning Sensor-Based Navigation of a Real Mobile Robot in Unknown Worlds

* Learning Separable Filters

* Learning Separations By Boolean Combinations Of Half-Spaces

* Learning Sequential Patterns for Lipreading

* Learning Setting-Generalized Activity Models for Smart Spaces

* Learning Shape-Classes Using a Mixture of Tree-Unions

* Learning Shape Categories by Clustering Shock Trees

* Learning Shape Classes

* Learning Shape Correspondence for n-D curves

* Learning Shape Descriptions

* Learning Shape Descriptions: Generating and Generalizing Models of Visual Objects

* Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics

* Learning Shape from Defocus

* Learning Shape from Shading by a Multilayer Network

* Learning Shape Metric: From Alignment to Recognition

* Learning shape metrics based on deformations and transport

* Learning Shape Models for a Vision Based Human-Computer Interface

* Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect

* Learning shape prior models for object matching

* Learning shape priors for object segmentation via neural networks

* Learning shape priors for single view reconstruction

* Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer

* Learning shape statistics for hierarchical 3D medical image segmentation

* Learning Shape, Motion and Elastic Models in Force Space

* Learning Shape: Optimal Models for Analysing Natural Variability

* Learning Shapes for Image Classification and Retrieval

* Learning shared body plans

* Learning Shared, Discriminative, and Compact Representations for Visual Recognition

* Learning shift-invariant sparse representation of actions

* Learning sign language by watching TV (using weakly aligned subtitles)

* Learning signs from subtitles: A weakly supervised approach to sign language recognition

* Learning silhouette dynamics for human action recognition

* Learning Similarities by Accumulating Evidence in a Probabilistic Way

* Learning Similarities for Rigid and Non-rigid Object Detection

* Learning Similarity for Texture Image Retrieval

* Learning similarity measure for multi-modal 3D image registration

* Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback

* Learning similarity metrics for dynamic scene segmentation

* Learning similarity space

* Learning simple texture discrimination filters

* Learning simultaneous adaptive clustering and classification via MOEA

* Learning Situation Models in a Smart Home

* Learning Skeleton Stream Patterns with Slow Feature Analysis for Action Recognition

* Learning skin distribution using a sparse map

* Learning Slow Features for Behaviour Analysis

* Learning small gallery size for prediction of recognition performance on large populations

* Learning Smooth Pattern Transformation Manifolds

* Learning Social Relation Traits from Face Images

* Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction

* Learning sparse covariance patterns for natural scenes

* Learning Sparse CRFs for Feature Selection and Classification of Hyperspectral Imagery

* Learning Sparse Face Features: Application to Face Verification

* Learning sparse feature for eyeglasses problem in face recognition

* Learning sparse features for classification by mixture models

* Learning Sparse Features in Granular Space for Multi-View Face Detection

* Learning Sparse Features On-Line for Image Classification

* Learning sparse filter bank transforms with convolutional ICA

* Learning Sparse FRAME Models for Natural Image Patterns

* Learning sparse image representation with support vector regression for single-image super-resolution

* Learning Sparse Kernel Classifiers in the Primal

* Learning Sparse Multiple Cause Models

* Learning Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms

* Learning Sparse Representations for Human Action Recognition

* Learning sparse tag patterns for social image classification

* Learning sparse, overcomplete representations of time-varying natural images

* Learning sparsifying transforms for image processing

* Learning Spatial and Temporal Extents of Human Actions for Action Detection

* Learning spatial context from tracking using penalised likelihoods

* Learning Spatial Context: Using Stuff to Find Things

* Learning spatial relations for object-specific segmentation using Bayesian network model

* Learning spatial relations in object recognition

* Learning spatial weighting for facial expression analysis via constrained quadratic programming

* Learning spatial weighting via quadratic programming for facial expression analysis

* Learning Spatially-Smooth Mappings in Non-Rigid Structure From Motion

* Learning Spatially-Variable Filters for Super-Resolution of Text

* Learning Spatially Localized, Parts-Based Representation

* Learning Spatially Regularized Correlation Filters for Visual Tracking

* Learning spatio-temporal co-occurrence correlograms for efficient human action classification

* Learning spatio-temporal dependencies for action recognition

* Learning spatio-temporal dependency of local patches for complex motion segmentation

* Learning spatio-temporal features for action recognition from the side of the video

* Learning Spatio-Temporal Features for Action Recognition with Modified Hidden Conditional Random Field

* Learning Spatio-Temporal Invariances

* Learning Spatio-temporal Patterns for Predicting Object Behaviour

* Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach

* Learning Spatiotemporal Features with 3D Convolutional Networks

* Learning spatiotemporal graphs of human activities

* Learning Spatiotemporal T-Junctions for Occlusion Detection

* Learning specific-class segmentation from diverse data

* Learning Spectral Calibration Parameters for Color Inspection

* Learning Spectral Descriptors for Deformable Shape Correspondence

* Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting

* Learning Splines for Sparse Tomographic Reconstruction

* Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach

* Learning Stacked Image Descriptor for Face Recognition

* Learning state machine-based string edit kernels

* Learning Statistical Correlation of Prostate Deformations for Fast Registration

* Learning Statistical Structure for Object Detection

* Learning statistically relevant edge structure improves low-level visual descriptors

* Learning stick-figure models using nonparametric Bayesian priors over trees

* Learning stochastic edit distance: Application in handwritten character recognition

* Learning Strategies for Knowledge-Base Updating in Online Signature Verification Systems

* Learning String Edit Distance

* Learning structural and corruption information from samples for Markov random field binary image reconstruction

* Learning structural conjunction of image content by sparse graphical model

* Learning Structural Descriptions from Examples

* Learning Structural Descriptions of Patterns: A New Technique for Conditional Clustering and Rule Generation

* Learning Structural Descriptions of Shape

* Learning structural element patch models with hierarchical palettes

* Learning Structural Models in Multiple Projection Spaces

* Learning Structural Regularity for Evaluating Blocking Artifacts in JPEG Images

* Learning structural shape descriptions from examples

* Learning structurally discriminant features in 3D faces

* Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network

* Learning Structured Appearance Models from Captioned Images of Cluttered Scenes

* Learning Structured Behavior Models using Variable Length Markov Models

* Learning structured concept-segments for interactive video retrieval

* Learning structured dictionaries for image representation

* Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning

* Learning Structured Low-Rank Representations for Image Classification

* Learning Structured Models for Segmentation of 2-D and 3-D Imagery

* Learning structured prediction models for interactive image labeling

* Learning Structured Visual Detectors From User Input At Multiple Levels

* Learning structured visual dictionary for object tracking

* Learning Structures of Visual Patterns from Single Instances

* Learning subcategory relevances for category recognition

* Learning subsequential transducers for pattern recognition interpretation tasks

* Learning Subspace Classification Using Subset Approximated Kernel Principal Component Analysis

* Learning Subspace Classifiers and Error Corrective Feature Extraction

* Learning Super-Resolution Jointly From External and Internal Examples

* Learning superpixel relations for supervised image segmentation

* Learning Support Vector Machines for A Multi-View Face Model

* Learning Support Vectors for Face Verification and Recognition

* Learning SURF Cascade for Fast and Accurate Object Detection

* Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane

* Learning SVM in Krein Spaces

* Learning switching dynamic models for objects tracking

* Learning Symbolic Descriptions of Shape for Object Recognition in X-Ray Images

* Learning Symbolic Names for Perceived Colors

* Learning symmetric face pose models online using locally weighted projectron regression

* Learning symmetrical model for head pose estimation

* Learning System for Consolidated Recognition and Motion Analysis, A

* learning system for terrain recognition, A

* Learning system of human facial expression for a family robot

* Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex

* Learning Task-Specific Object Recognition and Scene Understanding

* Learning Techniques Applied to Multi-Font Character Recognition

* Learning Templates for Artistic Portrait Lighting Analysis

* Learning Temporal Alignment Uncertainty for Efficient Event Detection

* Learning Temporal Context in Active Object Recognition Using Bayesian Analysis

* Learning Temporal Embeddings for Complex Video Analysis

* Learning Temporal Sequence Model from Partially Labeled Data

* Learning temporal signatures for Lip Reading

* Learning temporal structure for task based control

* Learning temporally consistent rigidities

* Learning Text-Line Segmentation Using Codebooks and Graph Partitioning

* Learning texton models for real-time scene context

* Learning Texture-Discrimination Masks

* Learning Texture-Discrimination Rules in a Multiresolution System

* Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine

* Learning the abstract motion semantics of verbs from captioned videos

* Learning the Appearance of Faces: A Morphable Model for the Analysis and Synthesis of Images

* Learning the Behavior of Users in a Public Space through Video Tracking

* Learning the best subset of local features for face recognition

* Learning the Change for Automatic Image Cropping

* Learning the characteristics of critical cells from web tables

* Learning the Compositional Nature of Visual Object Categories for Recognition

* Learning the Compositional Nature of Visual Objects

* Learning The Compositional Structure Of Man-Made Objects For 3d Shape Retrieval

* Learning the Cost of Edit Operations for Edit Distances

* Learning the Deep Features for Eye Detection in Uncontrolled Conditions

* Learning the discriminative dictionary for sparse representation by a general fisher regularized model

* Learning The Discriminative Power-Invariance Trade-Off

* Learning the Distribution of Object Trajectories for Event Recognition

* Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects

* Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network

* Learning the easy things first: Self-paced visual category discovery

* Learning the Face Prior for Bayesian Face Recognition

* Learning the Face Space: Representation and Recognition

* Learning the Human Face Concept from Black and White Images

* Learning the Information Divergence

* Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space

* Learning the Kernel Combination for Object Categorization

* Learning the kernel matrix by maximizing a KFD-based class separability criterion

* Learning the kernel parameters in kernel minimum distance classifier

* Learning the Kernel Through Examples: An Application to Shape Classification

* Learning the Lexicon from raw texts for open-vocabulary Korean word recognition

* Learning The Morphological Diversity

* Learning the nature of generalisation errors in a 3D morphable model

* Learning the Optimal Transformation of Salient Features for Image Classification

* Learning the Parts of Objects by non-Negative Matrix Factorization

* Learning the Probability of Correspondences without Ground Truth

* Learning the Relationship Between High and Low Resolution Images in Kernel Space for Face Super Resolution

* Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search

* Learning the right model: Efficient max-margin learning in Laplacian CRFs

* Learning the Scene Illumination for Color-Based People Tracking in Dynamic Environment

* Learning the Semantic Landscape: Embedding scene knowledge in object tracking

* Learning the Semantics in Image Retrieval: A Natural Language Processing Approach

* Learning the Semantics of Images by Using Unlabeled Samples

* Learning the Semantics of Words and Pictures

* Learning the shape manifold to improve object recognition

* Learning the Spherical Harmonic Features for 3-D Face Recognition

* Learning the Statistics of People in Images and Video

* Learning the Structure of Deep Architectures Using L1 Regularization

* Learning the Structure of Deep Convolutional Networks

* Learning the Stylistic Similarity Between Human Motions

* Learning the Taxonomy and Models of Categories Present in Arbitrary Images

* Learning the Topology of Object Views

* Learning the trip suggestion from landmark photos on the web

* Learning the viewpoint manifold for action recognition

* Learning the Visual Interpretation of Sentences

* Learning to Act on Objects

* Learning to Adapt: A Method for Automatic Tuning of Algorithm Parameters

* Learning to Adjust and Refine Gait Patterns for a Biped Robot

* Learning to approximate global shape priors for figure-ground segmentation

* Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes

* Learning to associate: HybridBoosted multi-target tracker for crowded scene

* Learning to Boost Filamentary Structure Segmentation

* Learning to classify by ongoing feature selection

* Learning to classify gender from four million images

* Learning to cluster using high order graphical models with latent variables

* Learning to Combine Bottom-Up and Top-Down Segmentation

* Learning to Combine Mid-Level Cues for Object Proposal Generation

* Learning to compare image patches via convolutional neural networks

* Learning to Count Leaves in Rosette Plants

* Learning to Count with Back-propagated Information

* Learning to count with deep object features

* Learning to count with regression forest and structured labels

* Learning to Deblur

* Learning to describe color composition of visual objects

* Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model

* Learning to Detect a Salient Object

* Learning to Detect Aircraft at Low Resolutions

* Learning to Detect Anomalies in Surveillance Video

* Learning to Detect Basal Tubules of Nematocysts in SEM Images

* Learning to Detect Carried Objects with Minimal Supervision

* Learning to detect concepts with Approximate Laplacian Eigenmaps in large-scale and online settings

* Learning to detect contours in natural images via biologically motivated schemes

* Learning to Detect Contours with Dynamic Programming Snakes

* Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching

* Learning to detect low-level features

* Learning to detect Motion Boundaries

* Learning to Detect Moving Shadows in Dynamic Environments

* Learning to detect natural image boundaries using local brightness, color, and texture cues

* Learning to Detect Objects in Images via a Sparse, Part-Based Representation

* Learning to Detect Objects of Many Classes Using Binary Classifiers

* Learning to Detect Partially Overlapping Instances

* Learning to Detect Roads in High-Resolution Aerial Images

* Learning to Detect Rooftops in Aerial Images

* Learning to Detect Salient Objects in Natural Scenes Using Visual Attention

* Learning to Detect Scene Text Using a Higher-Order MRF with Belief Propagation

* Learning to Detect Small Impact Craters

* Learning to Detect Stent Struts in Intravascular Ultrasound

* Learning to Detect Tables in Scanned Document Images Using Line Information

* Learning to detect traffic signs: Comparative evaluation of synthetic and real-world datasets

* Learning to detect unseen object classes by between-class attribute transfer

* Learning to Detect Vehicles by Clustering Appearance Patterns

* Learning to display high dynamic range images

* Learning to Distribute Vocabulary Indexing for Scalable Visual Search

* Learning to Divide and Conquer for Online Multi-target Tracking

* Learning to Efficiently Detect Repeatable Interest Points in Depth Data

* Learning to Eliminate Background Effects in Object Recognition

* Learning to Estimate and Remove Non-uniform Image Blur

* Learning to Estimate Human Pose with Data Driven Belief Propagation

* Learning to Extract Focused Objects From Low DOF Images

* Learning to Extract Temporal Signal Patterns from Temporal Signal Sequence

* Learning to Find Graph Pre-images

* Learning to Find Object Boundaries Using Motion Cues

* Learning to find occlusion regions

* Learning to Fixate on 3D Targets with Uncalibrated Active Cameras

* Learning to Form Large Groups of Salient Image Features

* Learning to generate chairs with convolutional neural networks

* Learning to generate novel views of objects for class recognition

* Learning to Group Objects

* Learning to Group Text Lines and Regions in Freeform Handwritten Notes

* Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval

* Learning to Identify and Track Faces in Image Sequences

* Learning to Identify Facial Expression During Detection Using Markov Decision Process

* Learning to identify leaders in crowd

* Learning to Imitate Human Movement to Adapt to Environmental Changes

* Learning to Infer Public Emotions from Large-Scale Networked Voice Data

* Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective

* Learning to learn: From smart machines to intelligent machines

* Learning to localize detected objects

* Learning to Localize Objects with Structured Output Regression

* Learning to Locate Cortical Bone in MRI

* Learning to Locate Informative Features for Visual Identification

* Learning to Look at Humans: What Are the Parts of a Moving Body?

* Learning to look up: Realtime monocular gaze correction using machine learning

* Learning to Match Appearances by Correlations in a Covariance Metric Space

* Learning to Match Images in Large-Scale Collections

* Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models

* Learning to Mimic Motion of Human Arm and Hand Grabbing for Constraint Adaptation

* Learning to multimodal hash for robust video copy detection

* Learning to Name Objects

* Learning to Navigate on a Graph

* Learning to Parse Pictures of People

* Learning to Photograph: A Compositional Perspective

* Learning to pool high-level features for face representation

* Learning to Predict Gaze in Egocentric Video

* Learning to predict gender from iris images

* Learning to Predict Saliency on Face Images

* Learning to predict super resolution wavelet coefficients

* Learning to predict the perceived visual quality of photos

* Learning to predict where humans look

* Learning to Produce 3D Media From a Captured 2D Video

* Learning to propose objects

* Learning to Rank 3D Features

* Learning to Rank Atlases for Multiple-Atlas Segmentation

* Learning to Rank Based on Subsequences

* Learning to rank biological motion trajectories

* Learning to Rank from Medical Imaging Data

* Learning to Rank Histograms for Object Retrieval

* Learning to Rank Image Tags With Limited Training Examples

* Learning to rank images from eye movements

* Learning to rank images using semantic and aesthetic labels

* Learning to rank in person re-identification with metric ensembles

* Learning to rank salient segments extracted by multispectral Quantum Cuts

* Learning to rank tags

* Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data

* Learning to Rank Using High-Order Information

* Learning to Rank Using Privileged Information

* Learning to rank videos personally using multiple clues

* Learning to Reassemble Shredded Documents

* Learning to Recognise Talking Faces

* Learning to Recognize 3D Objects with SNoW

* Learning to recognize a sign from a single example

* Learning to Recognize Activities from the Wrong View Point

* Learning to Recognize and Grasp Objects

* Learning to Recognize Complex Actions Using Conditional Random Fields

* Learning to Recognize Daily Actions Using Gaze

* Learning to Recognize Faces from Examples

* Learning to recognize faces from videos and weakly related information cues

* Learning to Recognize Faces Incrementally

* Learning to recognize gender using experience

* Learning to recognize generic visual categories using a hybrid structural approach

* Learning to recognize Hand-printed Chinese characters using Inductive Logic Programming

* Learning to Recognize Objects from Unseen Modalities

* Learning to recognize objects in egocentric activities

* Learning To Recognize Objects Using Feature Indexed Hypotheses

* Learning to Recognize Objects with Little Supervision

* Learning to Recognize Objects

* Learning to recognize patterns with a probabilistic teacher

* Learning to recognize people in a smart environment

* Learning to recognize shadows in monochromatic natural images

* Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model

* Learning to Recognize Video-Based Spatiotemporal Events

* Learning to Recognize Visual Dynamic Events from Examples

* Learning to Relate Images

* Learning to remove staff lines from music score images

* Learning to Represent Handwritten Shapes and Words for Matching and Recognition

* Learning to rerank images with enhanced spatial verification

* Learning to Rerank Web Images

* Learning to See by Moving

* Learning to See

* Learning to Segment a Video to Clips Based on Scene and Camera Motion

* Learning to segment dense cell nuclei with shape prior

* Learning to Segment Humans by Stacking Their Body Parts

* Learning to segment images using region-based perceptual features

* Learning to segment moving objects in videos

* Learning to segment under various forms of weak supervision

* Learning to segment using machine-learned penalized logistic models

* Learning to segment with image-level annotations

* Learning to Segment

* Learning to Select and Order Vacation Photographs

* Learning to Select Useful Landmarks

* Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization

* Learning to Share Latent Tasks for Action Recognition

* Learning to share visual appearance for multiclass object detection

* Learning to summarize web image and text mutually

* Learning to Track and Identify Players from Broadcast Sports Videos

* Learning to Track for Spatio-Temporal Action Localization

* Learning to Track Objects Through Unobserved Regions

* Learning to Track the Visual-Motion of Contours

* Learning to track with multiple observers

* Learning to Track: Conceptual Manifold Map for Closed-Form Tracking

* Learning to Track: Online Multi-object Tracking by Decision Making

* Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection

* Learning to Transform Time Series with a Few Examples

* Learning to tune level set methods

* Learning top-down feature based attention control

* Learning Top-Down Grouping of Compositional Hierarchies for Recognition

* Learning top down scene context for visual attention modeling in natural images

* Learning Topic Models by Belief Propagation

* Learning trajectory patterns by clustering: Experimental studies and comparative evaluation

* Learning Transformations

* Learning tree-structured approximations for conditional random fields

* Learning Tree-structured Quantizers for Image Categorization

* Learning Two-View Stereo Matching

* Learning Under a VEDIC Teacher

* Learning unified sparse representations for multi-modal data

* Learning universal multi-view age estimator using video context

* Learning User's Confidence for Active Learning

* Learning user-specific parameters in a multibiometric system

* Learning user preference in a personalized CBIR system

* Learning using distance based training algorithm for pattern recognition

* Learning Variability of Image Feature Appearance Using Statistical Methods

* Learning Variable-Length Markov Models of Behavior

* Learning varying dimension radial basis functions for deformable image alignment

* Learning vector quantization for variable ordering in constraint satisfaction problems

* Learning Vector Quantization with Adaptive Cost-Based Outlier-Rejection

* Learning vector quantization with alternative distance criteria

* Learning vector quantization with local subspace classifier

* Learning Vector Quantization with Training Data Selection

* Learning Video Manifold for Segmenting Crowd Events and Abnormality Detection

* Learning Video Preferences Using Visual Features and Closed Captions

* Learning video processing by example

* Learning Video Saliency from Human Gaze Using Candidate Selection

* Learning View-Invariant Sparse Representations for Cross-View Action Recognition

* Learning View-Model Joint Relevance for 3D Object Retrieval

* Learning Viewpoint Invariant Perceptual Representations from Cluttered Images

* Learning Virtual HD Model for Bi-model Emotional Speaker Recognition

* Learning Vision System for 2D Object Recognition, A

* Learning Visual-Spatial Saliency for Multiple-Shot Person Re-Identification

* Learning Visual Behavior for Gesture Analysis

* Learning visual categories through a sparse representation classifier based cross-category knowledge transfer

* Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences

* Learning Visual Compound Models from Parallel Image-Text Datasets

* Learning Visual Concepts for Content Based Retrieval

* Learning Visual Contexts for Image Annotation From Flickr Groups

* Learning visual dictionaries and decision lists for object recognition

* Learning visual flows: A Lie algebraic approach

* Learning Visual Ideals

* Learning Visual Landmarks for Pose Estimation

* Learning Visual Models for Lipreading

* Learning Visual Models from Shape Contours Using Multiscale Convex/Concave Structure Matching

* Learning visual models of semantic concepts

* Learning visual operators from examples: a new paradigm in image processing

* Learning Visual Quality Inspection from Multiple Humans Using Ensembles of Classifiers

* Learning Visual Recognition With Bayesian Networks

* Learning Visual Representations using Images with Captions

* Learning visual saliency using topographic independent component analysis

* Learning Visual Shape Lexicon for Document Image Content Recognition

* Learning Visual Similarity Measures for Comparing Never Seen Objects

* Learning Visual Speech

* Learning Vocabularies over a Fine Quantization

* Learning Watershed Cuts Energy Functions

* Learning weighted distances for relevance feedback in image retrieval

* Learning weighted features for human action recognition

* Learning weighted geometric pooling for image classification

* Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields

* Learning Weighted Metrics to Minimize Nearest-Neighbor Classification Error

* Learning weighted part models for object tracking

* Learning weighted similarity measurements for unconstrained face recognition

* Learning weights for codebook in image classification and retrieval

* Learning What and How of Contextual Models for Scene Labeling

* Learning What Matters: Combining Probabilistic Models of 2D and 3D Saliency Cues

* Learning Where to Classify in Multi-view Semantic Segmentation

* Learning Where to Position Parts in 3D

* Learning with a mutualistic teacher

* Learning with Adaptive Rate for Online Detection of Unusual Appearance

* Learning with an unreliable teacher

* Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

* Learning with Box Kernels

* Learning with Cascade for Classification of Non-Convex Manifolds

* Learning with Constrained and Unlabelled Data

* Learning with dataset bias in latent subcategory models

* Learning with Distance Substitution Kernels

* Learning with dynamic group sparsity

* Learning with Few Examples by Transferring Feature Relevance

* Learning with few examples for binary and multiclass classification using regularization of randomized trees

* Learning with Hidden Information Using a Max-Margin Latent Variable Model

* Learning with Hidden Information

* Learning with Hierarchical-Deep Models

* Learning with imperfectly labeled patterns

* Learning With L1-Graph for Image Analysis

* Learning with Missing or Incomplete Data

* Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures

* Learning With Privacy in Consensus + Obfuscation

* Learning with probabilistic labeling

* Learning with progressive transductive support vector machine

* Learning with relevant features and examples

* Learning with the Optimized Data-Dependent Kernel

* Learning with transductive SVM for semisupervised pixel classification of remote sensing imagery

* Learning without Human Scores for Blind Image Quality Assessment

* Learning Wormholes for Sparsely Labelled Clustering

* Learning, detection and representation of multi-agent events in videos

* Learning, General Non-Vision Learning Issues

* Learning, General Surveys, Overviews

* Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video

* Learning, Recognition and Navigation from a Sequence of Infrared Images

* Learnt combination in object detector ensembles

* Least-asymmetric signal extension for two-band paraunitary FIR filter banks

* Least-commitment graph matching with genetic algorithms

* Least-Squares-Based 2-D Filtering Scheme for Stereo Image Compression, A

* Least-Squares-Based 2D Filtering for Disparity Estimation, A

* Least-squares-based fitting of paraboloids

* Least-Squares-Filter Vector Hybrid Approach to Hyperspectral Subpixel Demixing

* Least-squares 3D reconstruction from one or more views and geometric clues

* least-squares approach to anomaly detection in static and sequential data, A

* Least-Squares Approximation by Pythagorean Hodograph Spline Curves Via an Evolution Process

* Least-Squares Based Switched Adaptive Predictors for Lossless Video Coding

* Least-squares congealing for large numbers of images

* Least-Squares Contour Alignment

* Least-Squares Directional Intra Prediction in H.264/AVC

* Least-Squares Error for Structure from Infinitesimal Motion, The

* Least-squares estimation of anisotropic similarity transformations from corresponding 2D point sets

* Least-Squares Estimation of Transformation Parameters Between Two Point Patterns

* Least-squares fitting for deformable superquadric model based on orthogonal distance

* Least-Squares Fitting of Two 3-D Point Sets

* Least-squares font metric estimation from images

* Least-Squares Framework for Component Analysis, A

* Least-squares image resizing using finite differences

* Least-squares interband denoising of color and multispectral images

* Least-Squares Luma-Chroma Demultiplexing Algorithm for Bayer Demosaicking

* Least-squares Matching with Advanced Geometric Transformation Models

* Least-squares mesh model for image compression

* Least-Squares Model-Based Halftoning

* Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola

* Least-squares smoothing of 3D digital curves

* Least-Squares Solution of Absolute Orientation with Non-Scalar Weights

* Least-squares spline resampling to a hexagonal lattice

* Least-Squares Transformations between Point-Sets

* Least-Squares Unified View of PCA, LDA, CCA and Spectral Graph Methods, A

* Least Absolute Deviation (LAD) Image Matching

* Least Biased Fuzzy Clustering Method, A

* Least Commitment Graph Matching by Evolutionary Optimisation

* Least Commitment, Viewpoint-Based, Multi-view Stereo

* Least Committed Splines in 3D Modelling of Free Form Objects from Intensity Images

* Least desirable feature elimination in a general pattern recognition problem

* Least Distortion Halftone Image Data Hiding Watermarking by Optimizing an Iterative Linear Gain Control Model

* Least Disturbance Principle amd Weak Constraints, The

* Least Median of Squares Based Robust Analysis of Image Structure

* Least Median of Squares Regression

* Least MSE Regression for View Synthesis

* Least Soft-Threshold Squares Tracking

* Least Square Error Estimation of the Center and Radii of Concentric Arcs, A

* Least Square for Grassmann-Cayley Agelbra in Homogeneous Coordinates

* Least square geometric iterative fitting method for generalized B-spline curves with two different kinds of weights

* least square kernel machine with box constraints, A

* Least Square Matching Model AMMGC-LSM for Multi-line-array Digital Images

* Least Squares-Based Filter for Remote Sensing Image Noise Reduction

* Least Squares-Based Method for Adjusting the Boundaries of Area Objects, A

* Least squares 3D surface and curve matching

* Least Squares Adjustment of Multi-temporal InSAR Data: Application to the Ground Deformation of Paris, A

* Least Squares and Robust Estimation of Local Image Structure

* Least Squares Applied to Restoration

* Least squares approach for predictive coding of 3-D images

* Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems, A

* Least squares congealing for unsupervised alignment of images

* least squares database approach for SAR interferometric data, A

* Least squares estimation-based adaptive observation model for aerial visual tracking applications

* Least Squares Estimation of 3D Shape and Motion of Rigid Objects from Their Orthographic Projections

* Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks, A

* Least Squares Fitting Articulated Objects

* Least Squares Fitting of Circles

* Least squares generalized B-spline signal and image processing

* Least Squares Image Restoration Using Spline Basis Functions

* Least squares image texture analysis and synthesis

* Least Squares Matching for Three Dimensional Building Reconstruction

* Least Squares Matching with Airborne LIDAR Data for Strip Adjustment

* Least squares motion estimation algorithm in the compressed DCT domain for H.26x / MPEG-X video sequences

* Least squares one-class support vector machine

* Least Squares Orthogonal Distance Fitting of Curves and Surfaces in Space

* Least squares phase unwrapping in wavelet domain

* Least Squares Quantization in PCM

* least squares regression framework on manifolds and its application to gesture recognition, A

* Least squares rigid body fitting of point-sets with unknown correspondences

* Least Squares Solution for Camera Distortion Parameters, A

* Least Squares Sub-pixel Registration Refinement Using Area Sampler Model

* Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, Tikhonov, and constrained regularization

* Least squares surface reconstruction from measured gradient fields

* Least Squares Time-Series Synchronization in Image Acquisition Systems

* Least squares twin multi-class classification support vector machine

* least upper bound for the average classification accuracy of multiple observers, A

* Leather Inspection Based on Wavelets

* Leather Inspection by Oriented Texture Analysis with a Morphological Approach

* Leather inspection through singularities detection using wavelet transforms

* Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications

* Leave-One-Out Kernel Optimization for Shadow Detection

* Leave-One-Out Procedures for Nonparametric Error Estimates

* Leave one support vector out cross validation for fast estimation of generalization errors

* Leaves Shape Classification Using Curvature and Fractal Dimension

* Lebesgue anisotropic image denoising

* Lecture Notes in Computer Science

* Lecture Video Enhancement and Editing by Integrating Posture, Gesture, and Text

* LED-only BRDF measurement device, An

* LED Backlight Adjustment for Backward-Compatible Stereoscopic Display

* LED Cosmetic Flaw Inspection System

* LED location beacon system based on processing of digital images

* LEDTD: Local edge direction and texture descriptor for face recognition

* Leeds University

* Left-Invariant Diffusions on the Space of Positions and Orientations and their Application to Crossing-Preserving Smoothing of HARDI images

* Left-Invariant Riemannian Geodesics on Spatial Transformation Groups

* Left-Luggage Detection from Finite-State-Machine Analysis in Static-Camera Videos

* Left-Luggage Detection using Bayesian Inference

* Left-Ventricular Shape Determines Intramyocardial Stroke Work Distribution

* Left and Right Atrial Contribution to the P-wave in Realistic Computational Models

* Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography

* Left Ventricle Longitudinal Axis Fitting and its Apex Estimation Using A Robust Algorithm and its Performance: A Parametric Apex Model

* Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks

* Left Ventricle Segmentation from Heart MDCT

* Left Ventricular Deformation Recovery From Cine MRI Using an Incompressible Model

* Left ventricular motion reconstruction based on elastic vector splines

* Left ventricular volume estimation for real-time three-dimensional echocardiography

* Legal amount recognition based on the segmentation hypotheses for bank check processing

* LEGClust: A Clustering Algorithm Based on Layered Entropic Subgraphs

* Legend-Driven Geographic Symbol Recognition System, A

* Legend Based Elevation Layers Extraction from a Color-Coded Relief Scanned Map

* Legendre descriptors for classification of polygonal closed curves

* Legendre polynomials based feature extraction for online signature verification. Consistency analysis of feature combinations

* Legibility of perceptually-tuned grayscale fonts

* LEGION-Based Automatic Road Extraction From Satellite Imagery

* Legion Sementation For Building Extraction From Lidar Based Dsm Data

* Legume Identification by Leaf Vein Images Classification

* Lehman College of CUNY

* Leica DMC III Calibration and Geometric Sensor Accuracy

* Leica GeoSystems HDS

* Leica GeoSystems, Geospatial Imaging

* Leiden Augmented Reality System (LARS), The

* Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions

* Lending A Helping Hand: Using Remote Sensing to Support the Response and Recovery Operations at the World Trade Center

* Length-independent refinement of video quality metrics based on multiway data analysis

* Length-speed ratio (LSR) as a characteristic for moving elements real-time classification

* Length-weighted string kernels for sequence data classification

* Length Determination of DNA Fragments in Atomic Force Microscope Images

* Length Estimation for Curves with Non-Uniform Sampling

* Length Estimation for Exponential Parameterization and epsilon-Uniform Samplings

* Length Estimation for the Adjusted Exponential Parameterization

* Length Estimation in 3-D Using Cube Quantization

* Length Estimation of Digit Strings Using a Neural Network with Structure Based Features

* Length Estimators for Digitized Contours

* Length Increasing Active Contour for the Segmentation of Small Blood Vessels

* Length Normalization in Degraded Text Collections

* Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series

* Length, Area And Volume Computation In Homogeneous Coordinates

* Lennard-Jones force field for Geometric Active Contour

* Lens-Based Depth Estimation for Multi-focus Plenoptic Cameras

* lens collar auto-inspection system, A

* Lens Distortion Calibration Using Point Correspondences

* Lens distortion correction with a calibration harp

* Lens Distortion for Close-Range Photogrammetry

* Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery

* Lens Distortion Rectification Using Triangulation Based Interpolation

* Lens inclination due to instable fixings detected and verified with VDI/VDE 2634 Part 1

* Lens Model Selection for Visual Tracking

* Lens system for panoramic imagery

* Lenselet image compression scheme based on subaperture images streaming

* Lensless coherent imaging by a deterministic phase retrieval method with an aperture-array filter

* Lensless imaging by compressive sensing

* Lensless Imaging with a Controllable Aperture

* Lensless optical data embedding system using concealogram and cascaded digital Fresnel hologram

* Lenticular stereoscopic imaging and displaying techniques with no special glasses

* Lepp Terminal Centroid Method for Quality Triangulation: A Study on a New Algorithm

* Lesion contrast enhancement in medical ultrasound imaging

* Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies

* Lesion Detection in Breast Ultrasound Images Using Tissue Transition Analysis

* Lesion Detection in Dermatoscopic Images Using Anisotropic Diffusion and Morphological Flooding

* Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection

* Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering

* Lesion Preserving Image Registration with Applications to Human Brains

* Lesion Segmentation in Dynamic Contrast Enhanced MRI of Breast

* Lesioned-Part Identification by Classifying Entire-Body Gait Motions

* Less Is More: Coded Computational Photography

* Less is More: Efficient 3-D Object Retrieval With Query View Selection

* Less Is More: Video Trimming for Action Recognition

* LESS: A Model-Based Classifier for Sparse Subspaces

* Lessons and Insights from Creating a Synthetic Optical Flow Benchmark

* Lessons for the Future from a Decade of Informedia Video Analysis Research

* Lessons from collecting a million biometric samples

* Lessons from the Primate Visual System

* Lessons to learn from a mistaken optimization

* Let's be done with thresholds!

* Let's keep in touch online: a Facebook aware virtual human interface

* Let's Share a Story: Socially Enhanced Multimedia Storytelling

* Let's Weave the Visual Web

* Let me tell you about your personality! -- Real-time personality prediction from nonverbal behavioural cues

* Let the kernel figure it out; Principled learning of pre-processing for kernel classifiers

* Let the Shape Speak: Discriminative Face Alignment using Conjugate Priors

* Let Them Fall Where They May: Capture Regions of Curved Objects and Polyhedra

* Let There Be Color! Large-Scale Texturing of 3D Reconstructions

* Let us Suppose a Liquid Optical Flow in Images: The Validity of Optical Flow Revisited

* Let Your Body Speak: Communicative Cue Extraction on Natural Interaction Using RGBD Data

* LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images

* Letter-To-Sound conversion for speech synthesizer

* Letter Level Shape Description by Skeletonization in Faded Documents

* Letter to the editor

* Letter to the editor, Comment

* Leukocyte classifications by size functions

* Leukocyte image analysis in the diff3 system

* Leukocyte Pattern Recognition

* Leukocyte Segmentation in Blood Smear Images Using Region-Based Active Contours

* Levee crest elevation profiles derived from airborne lidar-based high resolution digital elevation models in south Louisiana

* Level-base compounded logarithmic curve function for colour image enhancement

* Level-by-Level Adaptive Disparity Compensated Prediction in Wavelet Domain for Stereo Image Coding

* Level-Compressed Huffman Decoding

* Level-set-based artery-vein separation in blood pool agent CE-MR angiograms

* Level-set-based motion estimation algorithm for multiple reference frame motion estimation

* level-set approach for tracking objects in image sequences using a level conservation constraint: Application to cardiac sequences, A

* Level-Set Approach to 3D Reconstruction from Range Data, A

* Level-Set Approach to Image Blending, A

* Level-set based geometric colour snake with region support

* Level-Set Based Infrared Image Segmentation for Automatic Veterinary Health Monitoring

* Level-set Based Tracking Approach for Surveillance Video with Fusion and Occlusion, A

* Level-Set Based Volumetric CT Segmentation Technique: A Case Study with Pulmonary Air Bubbles, A

* Level-set evolution with region competition: Automatic 3-D segmentation of brain tumors

* Level-set image segmenation software

* Level-set person segmentation and tracking with multi-region appearance models and top-down shape information

* Level-Set Segmentation of Brain Tumors Using a New Hybrid Speed Function

* Level-set segmentation of brain tumors using a threshold-based speed function

* Level Building Dynamic Time Warping Algorithm for Connected Word Recognition, A

* Level C+ Data Reuse Scheme for Motion Estimation With Corresponding Coding Orders

* Level Compression-Based Image Representation and Its Applications

* Level Crossing Curvature and the Laplacian

* Level Curve Tracking Algorithm for Textural Feature Extraction

* Level embedded medical image compression based on value of interest

* Level Line Selection Approach for Object Boundary Estimation, A

* Level Lines as Global Minimizers of Energy Functionals in Image Segmentation

* Level lines based disocclusion

* Level Lines Selection with Variational Models for Segmentation and Encoding

* Level lines shortening yields an image curvature microscope

* Level of Detail and Multi-Resolution Modeling for Virtual Prototyping

* Level of Detail in 3D Building Reconstruction from LIDAR Data

* Level of service classification for smart cameras

* Level Ratio Based Inter and Intra Channel Prediction with Application to Stereo Audio Frame Loss Concealment

* Level Selection for Multiscale Fusion of Out-of-Focus Image

* Level Set-Based Bimodal Segmentation With Stationary Global Minimum

* Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory

* level set-based framework for 3D kidney segmentation from diffusion MR images, A

* level set-based global shape prior and its application to image segmentation, A

* Level Set Active Contours on Unstructured Point Cloud

* Level Set Algorithm for minimizing the Mumford-Shah functional in Image Processing, A

* Level Set Algorithm for Shape Reconstruction of Non-Overlapping Three-Dimensional Penetrable Targets

* Level Set Analysis for Leukocyte Detection and Tracking

* Level Set and Fast Marching Methods in Image Processing and Computer Vision

* Level Set Approach for Computing Solutions to Incompressible Two-Phase Flow, A

* level set approach for shape-driven segmentation and tracking of the left ventricle, A

* Level Set Approach for Shape Recovery of Open Contours, A

* Level Set Approach to Image Segmentation With Intensity Inhomogeneity, A

* Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition

* Level Set Based Image Segmentation with Multiple Regions

* Level Set Based Multispectral Segmentation with Corners

* Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering

* Level Set Based Segmentation Using Local Feature Distribution

* Level Set Based Shape Prior Segmentation

* Level Set Bridging Force for the Segmentation of Dendritic Spines, A

* Level Set Curve Evolution Partitioning of Polarimetric Images

* Level Set Curve Matching and Particle Image Velocimetry for Resolving Chemistry and Turbulence Interactions in Propagating Flames

* Level set estimation from compressive measurements using box constrained total variation regularization

* Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation

* Level set evolution with locally linear classification for image segmentation

* Level Set Evolution without Re-Initialization: A New Variational Formulation

* Level Set Formulation for the Solution of the Dirichlet Problem for Hamilton-Jacobi Equations, A

* level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking, A

* Level Set Gait Analysis for Synthesis and Reconstruction

* Level Set Hyperspectral Image Classification Using Best Band Analysis

* level set method based on the Bayesian risk for medical image segmentation, A

* Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI, A

* Level set method for pulmonary vessels extraction

* level set method for the extraction of roads from multispectral imagery, A

* level set method for very high resolution airborne sar image segmentation, A

* Level Set Methods and Dynamic Implicit Surfaces

* Level Set Methods and Fast Marching Methods

* Level Set Methods and the Stereo Problem

* Level Set Methods for Watershed Image Segmentation

* Level set methods in image science

* Level set methods, distance function and image segmentation

* Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Science

* Level Set Model for Image Classification, A

* level set model without initial contour, A

* Level Set Models for Volumes

* Level Set Segmentation Based on Local Gaussian Distribution Fitting

* Level Set Segmentation in Graphics Hardware

* Level Set Segmentation Method of the Four Heart Cavities in Pediatric Ultrasound Images, A

* Level Set Segmentation of Cellular Images Based on Topological Dependence

* Level set segmentation of intensity inhomogeneous images based on local linear approximation of difference image

* Level Set Segmentation of Knee Bones Using Normal Profile Models

* Level Set Segmentation Using Statistical Shape Priors

* Level set segmentation with both shape and intensity priors

* Level Set Segmentation With Multiple Regions

* Level set segmentation with outlier rejection

* Level set segmentation with robust image gradient energy and statistical shape prior

* Level Set Segmentation with Shape and Appearance Models Using Affine Moment Descriptors

* Level Set Segmentation, Level Set Methods

* Level set tracking with dynamical shape priors

* Level Set Tree on Meshes, The

* Level Set with Embedded Conditional Random Fields and Shape Priors for Segmentation of Overlapping Objects

* Level Sets and Distance Functions

* Level Sets, Medical Image Segmentation

* Level Sets, Shape Models, Prior Shape Models

* Levelings and Flat Zone Morphology

* Levelings and Geodesic Reconstructions

* Levelings in Vector Spaces

* Levelings, Image Simplification Filters for Segmentation

* Levels of detail control based on correlation analysis between surface position and direction

* Levels of Details for Gaussian Mixture Models

* Levels of Knowledge for Object Extraction

* Levels of Pattern Description in Learning

* Levels of Representation in Cultural Feature Extraction

* Levelset and B-Spline Deformable Model Techniques for Image Segmentation: A Pragmatic Comparative Study

* Levenberg-Marquardt nonlinear least squares algorithms in C/C++

* Levenshtein distance for graph spectral features

* Leveraging 3D City Models for Rotation Invariant Place-of-Interest Recognition

* Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure

* Leveraging appearance and geometry for kinship verification

* Leveraging archival video for building face datasets

* Leveraging category-level labels for instance-level image retrieval

* Leveraging Cognitive Context for Object Recognition

* Leveraging colour segmentation for upper-body detection

* Leveraging Context to Support Automated Food Recognition in Restaurants

* Leveraging corporate context within knowledge-based document analysis and understanding

* Leveraging cost matrix structure for hardware implementation of stereo disparity computation using dynamic programming

* Leveraging Crowdsourced Data for Creating Temporal Segmentation Ground Truths of Subjective Tasks

* Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network

* Leveraging Electronic Ticketing to Provide Personalized Navigation in a Public Transport Network

* Leveraging Feature Uncertainty in the PnP Problem

* Leveraging geometry and appearance cues for recognizing family photos

* Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition

* Leveraging High Level Visual Information for Matching Images and Captions

* Leveraging image based prior for visual place recognition

* Leveraging in-scene spectra for vegetation species discrimination with MESMA-MDA

* Leveraging local neighborhood topology for large scale person re-identification

* Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking

* Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis

* Leveraging multiple simulators for crossing the reality gap

* Leveraging Mutual Information in Local Descriptions: From Local Binary Patterns to the Image

* Leveraging object-orientation for real-time imaging systems

* Leveraging Orientation Knowledge to Enhance Human Pose Estimation Methods

* Leveraging over prior knowledge for online learning of visual categories

* Leveraging Pattern Recognition Consistency Estimation for Crowdsourcing Data Analysis

* Leveraging probabilistic season and location context models for scene understanding

* Leveraging public posts and comments as covert channels

* Leveraging shape and depth in user authentication from in-air hand gestures

* Leveraging similarities and structure for dense representations combination in image retrieval

* Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure

* Leveraging social media for scalable object detection

* Leveraging social network information to recognize people

* Leveraging Spatial Model to Improve Indoor Tracking

* Leveraging stereo matching with learning-based confidence measures

* Leveraging stereopsis for saliency analysis

* Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification

* Leveraging surrounding context for scene text detection

* Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video

* Leveraging the Mixed-Text Segmentation Problem to Design Secure Handwritten CAPTCHAs

* Leveraging the Wisdom of the Crowd for Fine-Grained Recognition

* Leveraging Topographic Maps for Image to Terrain Alignment

* Leveraging user query log: toward improving image data clustering

* Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval

* LEW: learning by watching

* LEWIS: Latent Embeddings for Word Images and Their Semantics

* Lexical Analyzer Based on a Self-Organizing Feature Map

* Lexical Gesture Interface

* Lexical post-processing optimization for handwritten word recognition

* Lexical postcorrection of OCR-results: The Web as a Dynamic Secondary Dictionary?

* Lexicographic Bit Allocation for MPEG Video Coding

* Lexicon-based Browsers for Searching in News Video Archives

* Lexicon-based offline recognition of Amharic words in unconstrained handwritten text

* Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model

* lexicon-driven approach for optimal segment combination in off-line recognition of unconstrained handwritten Korean words, A

* Lexicon-driven handwritten character string recognition for Japanese address reading

* Lexicon-Driven Handwritten City-Name Recognition Scheme for Indian Postal Automation, A

* Lexicon-Driven Handwritten Word Recognition Using Optimal Linear Combinations of Order Statistics

* Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models

* Lexicon-driven recognition of one-stroke character strings in visual gesture

* Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading

* Lexicon-free handwritten word spotting using character HMMs

* Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words

* Lexicon and hidden Markov model-based optimisation of the recognised Sinhala script

* Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications, A

* Lexicon expansion for latent variable grammars

* Lexicon reduction for printed Farsi subwords using pictorial and textual dictionaries

* Lexicon Reduction in an HMM-Framework Based on Quantized Feature Vectors

* Lexicon reduction of handwritten Arabic subwords based on the prominent shape regions

* lexicon reduction strategy in the context of handwritten medical forms, A

* Lexicon reduction using dots for off-line Farsi/Arabic handwritten word recognition

* Lexicon reduction using key characters in cursive handwritten words

* Lexicon Reduction Using Segment Descriptors for Arabic Handwriting Recognition

* LFW Results Using a Combined Nowak Plus MERL Recognizer

* LG Iris Access

* LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification

* LGE-KSVD: Robust Sparse Representation Classification

* LGHD: A feature descriptor for matching across non-linear intensity variations

* LHI Object Datasets

* LHI Segmentation Dataset

* LHI Sports Activity Dataset

* LHI Surveillance Dataset

* LIA RT'07 Speaker Diarization System, The

* LibCVD: computer vision library

* libE57: software tools for managing E57 files

* LiberoVision

* LIBPMK: A Pyramid Match Toolkit

* Library-Based Illumination Synthesis for Critical CMOS Patterning

* Librjmcmc: An Open-source Generic C++ Library For Stochastic Optimization

* LIBSVM: a library for support vector machines

* LIBSVMTL: a Support Vector Machine Template Library

* LIBSVX: A Supervoxel Library and Benchmark for Early Video Processing

* LibTIFF: TIFF Library and Utilities

* Lic-Based Regularization of Multi-Valued Images

* License Plate-Recognition Algorithm for Intelligent Transportation System Applications, A

* License Plate Character Segmentation Using Hidden Markov Chains

* License Plate Detection and Character Recognition

* License plate detection and recognition in complex scenes using mathematical morphology and support vector machines

* License Plate Detection Using Local Structure Patterns

* License Plate Extraction Algorithm Based on Edge Statistics and Region Growing, A

* License Plate Extraction in Low Resolution Video

* License plate localisation based on morphological operations

* License plate localization based on a probabilistic model

* License plate localization based on edge-geometrical features using morphological approach

* License Plate Recognition From Still Images and Video Sequences: A Survey

* License plate recognition software targets embedded systems

* License Plate Recognition Using Weighted Finite-State Transducers and Different Evidence Combination Methods

* License Plate Recognition, Extraction, Analysis

* License plate surveillance system using weighted template matching

* LiCHy: The CAF's LiDAR, CCD and Hyperspectral Integrated Airborne Observation System

* LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band

* LIDAR-based Long Range Road Intersection Detection

* Lidar-based Mapping of Forest Volume and Biomass by Taxonomic Group Using Structurally Homogenous Segments

* LiDAR-Based Solar Mapping for Distributed Solar Plant Design and Grid Integration in San Antonio, Texas

* LiDAR-data: automatic object detection for urban flooding models.

* LiDAR-Derived High Quality Ground Control Information and DEM for Image Orthorectification

* Lidar-Derived Site Index in the U.S. Pacific Northwest: Challenges and Opportunities

* LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis

* Lidar-equipped UAV for building information modelling

* LiDAR-Landsat data fusion for large-area assessment of urban land cover: Balancing spatial resolution, data volume and mapping accuracy

* Lidar and INS Fusion in Periods of GPS Outages for Mobile Laser Scanning Mapping Systems

* LiDAR and object-based image analysis as tools for monitoring the structural diversity of savanna vegetation

* LIDAR and VHRS Data for Assessing Living Quality in Cities: An Approach Based on 3D Spatial Indices

* LIDAR Data Classification Using Hierarchical K-Means Clustering

* LIDAR Data Reduction for Efficient and High Quality DEM Generation

* Lidar Filtering Algorithm for Urban Flood Application

* LiDAR inpainting from a single image

* Lidar measurements for water vapor vertical profiles up to the stratosphere

* lidar perception scheme for intelligent vehicle navigation, A

* Lidar Photogrammetry And Its Data Organization

* Lidar Processing for Defining Sinkhole Characteristics under Dense Forest Cover: A Case Study in the Dinaric Mountains

* LiDAR Sampling Density for Forest Resource Inventories in Ontario, Canada

* LiDAR Segmentation using Suitable Seed Points for 3D Building Extraction

* Lidar Signal Denoising Using Least-Squares Support Vector Machine

* LiDAR Strip Adjustment using Automatically Reconstructed Roof Shapes

* LIDAR Strip Adjustment using Conjugate Linear Features in Overlapping Strips

* LiDAR Strip Adjustment Using Multifeatures Matched With Aerial Images

* LIDAR to image coregistration on orbital data

* LiDAR Utility for Natural Resource Managers

* Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data

* Lidar waveform modeling using a marked point process

* Lidar Waveform Simulation Over Complex Targets

* Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass

* LIDAR, LADAR -- Range data

* LidarBoost: Depth superresolution for ToF 3D shape scanning

* Lidars With Narrow FOV for Daylight Measurements

* Lie-algebraic averaging for globally consistent motion estimation

* Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM

* Lie Algebra-Based Kinematic Prior for 3D Human Pose Tracking

* Lie Algebra and System Identification Techniques for 3D Rigid Motion Estimation and Monocular Tracking

* Lie algebra approach for tracking and 3D motion estimation using monocular vision

* Lie algebra template tracking

* Lie Bodies: A Manifold Representation of 3D Human Shape

* Lie Generators For Computing Steerable Functions

* Lie Group Analysis in Object Recognition

* Lie Group Approach to Steerable Filters, A

* Lie group distance based generic 3-d vehicle classification

* Lie group method: A new approach to image matching with arbitrary orientations

* Lie Group Theoretical Approach to the Invariance Problem in Feature Extraction and Object Recognition, A

* Lie Group Theory, Space Variant Fourier Analysis and the Exponential Chirp Transform

* Lie Group Transformations of Objects in Video Images

* Lie Methods in Color Signal Processing: Illumination Effects

* Lie to Me: Deceit detection via online behavioral learning

* Life-Long Optimization of the Symbolic Model of Indoor Environments for a Mobile Robot

* Life-Size and Near Real-Time Test of Irrigation Scheduling with a Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco, A

* Lifegame Approach to Surface Modeling and Rendering, A

* Lifelike talking faces for interactive services

* Lifelog Scene Change Detection Using Cascades of Audio and Video Detectors

* Lifelog

* Lifetime-Distortion Trade-off in Image Sensor Networks

* Lifetime and Deployment Limits for Mobile, 3D-Perceptual Applications

* Lifetime map reconstruction in frequency-domain fluorescence lifetime imaging microscopy

* Lift-button detection and recognition for service robot in buildings

* Lift: Multi-Label Learning with Label-Specific Features

* Lifted road map view on windshield display

* Lifting-based design of reversible cellular automata for scalable coding of binary images

* Lifting-Based Directional DCT-Like Transform for Image Coding

* Lifting-based invertible motion adaptive transform (LIMAT) framework for highly scalable video compression

* Lifting-based Laplacian Pyramid reconstruction schemes

* Lifting-Based Reversible Transforms for Lossy-to-Lossless Wavelet Codecs

* Lifting-based wavelet domain adaptive Wiener filter for image enhancement

* Lifting-Based Wavelet Transform Supporting Non-Dyadic Spatial Scalability, A

* Lifting 3D Manhattan Lines from a Single Image

* lifting based system for compression and classification trade off in the JPEG2000 framework, A

* Lifting construction based on Bernstein bases and application in image compression

* Lifting factorization-based discrete wavelet transform architecture design

* Lifting Factorization and Construction of Wavelet Bi-Frames With Arbitrary Generators and Scaling, The

* Lifting Filters Adjustment for Lossless Image Compression Applications

* Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation

* Lifting GIS maps into strong geometric context for scene understanding

* Lifting Object Detection Datasets into 3D

* Lifting Scheme DWT Implementation in a Wireless Vision Sensor Network

* Lifting Scheme for Wavelet Bi-Frames: Theory, Structure, and Algorithm, The

* Lifting Wavelet Coding with Permutation and Coefficients Modification for Structured 3-D Geometry with Expanded Nodes

* LiftLT: Fast Lapped Transforms via Lifting Steps, The

* LIG multi-criteria system for video retrieval, The

* Ligature Instabilities in the Perceptual Organization of Shape

* Ligature Modeling for Online Cursive Script Recognition

* Ligature Segmentation for Urdu OCR

* Light-Efficient Photography

* Light-field generation by several screen types for glasses-free tabletop 3D display

* Light-field video coding using geometry-based disparity compensation

* Light-invariant fitting of active appearance models

* light-path less traveled, The

* Light-Stripe-Projection-Based Target Position Designation for Intelligent Parking-Assist System

* Light-Weight Event-Driven Protocol for Sensor Clustering in Wireless Camera Networks, A

* light-weight HEVC encoder for image coding, A

* Light-weight salient foreground detection for embedded smart cameras

* Light-Weight Sensor Package for Precision 3D Measurement with Micro UAVS e.g. Power-Line Monitoring

* light-weight text image processing method for handheld embedded cameras, A

* Light-years from Lena: video and image libraries of the future

* Light Aberration Effect in HR Geometric Model

* Light Adaptive 4000 Pixels Analog Silicon Retina for Edge Extraction and Motion Detection, A

* Light and Fast Statistical Motion Detection Method Based on Ergodic Model

* Light beam scanning device

* Light budget study for a multiplanar volumetric 3D display

* Light Detection and Ranging (LiDAR) and Multispectral Scanner (MSS) Studies Examine Coastal Environments Influenced by Mining

* Light diffusion through clouds and haze

* Light engine and optics for HELIUM3D auto-stereoscopic laser scanning display

* Light Fall-off Stereo

* Light Field Acquisition using Programmable Aperture Camera

* Light Field Analysis for Modeling Image Formation

* Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution, The

* Light Field Cameras and Analysis

* Light Field Capturing with Lensless Cameras

* Light field compression based on prediction propagating and wavelet packet

* Light field compression using disparity-compensated lifting and shape adaptation

* Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior

* Light field distortion feature for transparent object classification

* Light Field Distortion Feature for Transparent Object Recognition

* Light field from micro-baseline image pair

* Light Field from Smartphone-Based Dual Video

* Light field layer matting

* Light Field Morphable Models

* Light Field Photography with a Hand-Held Plenoptic Camera

* Light Field Reconstruction Using a Planar Patch Model

* Light Field Rendering for Large-Scale Scenes

* Light Field Rendering

* Light Field Sampling

* Light Field Scale-Depth Space Transform for Dense Depth Estimation

* Light Field Special Issue Editorial

* Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras

* Light field superresolution

* Light Field Video Stabilization

* Light Fields and Computational Imaging

* Light Fields for Computer Vision

* Light Illumination and Detection Patterns for Fluorescence Diffuse Optical Tomography Based on Compressive Sensing

* Light mixture intrinsic image decomposition based on a single RGB-D image

* light modulation/demodulation method for real-time 3D imaging, A

* Light on horizontal interactive surfaces: Input space for tabletop computing

* Light projecting device with cylindrical lens

* Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation

* Light Scattering Model for Layered Dielectrics with Rough Surface Boundaries, A

* Light Scattering Model for Layered Rough Surfaces, A

* Light Simulation in a Distributed Driving Simulator

* Light Source Calibration for IBR and BTF Acquisition Setups

* Light Source Detection, Light Source Estimation

* Light Source Direction Computations, Illumination Information, Illuminant

* Light source estimation from a single image

* Light Source Estimation in Mobile Augmented Reality Scenes by Using Human Face Geometry

* Light source estimation of outdoor scenes for mixed reality

* Light Source Position and Reflectance Estimation from a Single View without the Distant Illumination Assumption

* Light Space Cascaded Shadow Maps for Large Scale Dynamic Environments

* Light Speed Labeling for RISC architectures

* Light speed labeling: efficient connected component labeling on RISC architectures

* Light stripe triangulation for multiple of moving rigid objects

* Light Stripes

* Light Transport Analysis for 3D Photography

* light transport model for mitigating multipath interference in Time-of-flight sensors, A

* Light Transport Refocusing for Unknown Scattering Medium

* Light Weight Background Blurring for Video Conferencing Applications

* light weight dynamic rate control scheme for video transmission over IP network, A

* Light Weight Text Extraction Technique for Hand-Held Device, A

* LIGHT: Local Invariant Generalized Hough Transform

* Lightfield completion

* Lightfield Recovery from Its Focal Stack

* Lighting-Aware Segmentation of Microscopy Images for In Vitro Fertilization

* Lighting-driven voxels for memory-efficient computation of indirect illumination

* Lighting and Pose Robust Face Sketch Synthesis

* Lighting And Shadow Interpolation Using Intrinsic Lumigraphs

* Lighting Aware Preprocessing for Face Recognition across Varying Illumination

* Lighting Condition Adaptation for Perceived Age Estimation

* Lighting design for machine vision application

* Lighting direction affects recognition of untextured faces in photographic positive and negative

* Lighting Direction Estimation in Perspective Shape from Shading by Genetic Algorithm

* Lighting Effects, View Generation, Graphics Issues

* Lighting Estimation in Indoor Environments from Low-Quality Images

* Lighting Estimation in Outdoor Image Collections

* Lighting estimation of a convex Lambertian object using weighted spherical harmonic frames

* Lighting Independent Skin Tone Detection Using Neural Networks

* Lighting Normalisation for Face Recognition

* Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition

* Lighting Robust Fitting Approach of 3D Morphable Model Using Spherical Harmonic Illumination, A

* Lighting Sensitive Display

* Lighting Synthetic Objects in Image-based Environments

* Lightness and Retinex Theory

* Lightness constancy and its link with cone contrast

* Lightness Constancy from Luminance Contrast

* Lightness Constancy: Connectionist Architecture for Controlling Sensitivity

* Lightness Determination at Curved Surfaces with Applications to Dynamic-Range Compression and Model-Based Coding of Facial Images

* Lightness illusion: A new look from Compressive Sensing perspective

* lightness recovery algorithm for the multispectral acquisition of frescoed environments, A

* Lightness Recovery for Pictorial Surfaces

* Lightness Scale from Image Intensity Distributions, A

* Lights and Camera: Intelligently Controlled Multi-channel Pose Estimation System

* Lights: A Study in Motion

* Lights: A System for the Interpretation of Moving Light Displays

* LightShop: An Interactive Lighting System Incorporating the 2D Image Editing Paradigm

* Lightsphere: Fast Lighting Compensation for Matching a 2D Image to a 3D Model

* Lightweight 3D Modeling of Urban Buildings from Range Data

* Lightweight and Robust Shadow Removal for Foreground Detection

* lightweight approach to repairing digitized polygon meshes, A

* Lightweight Camera Head for Robotic-Based Binocular Stereo Vision: An Integrated Engineering Approach

* Lightweight Conditional Privacy-Preservation Protocol for Vehicular Traffic-Monitoring Systems, A

* Lightweight Detection of Additive Watermarking in the DWT-Domain

* Lightweight Encryption Method Suitable For Copyright Protection, A

* Lightweight Face Tracking System for Video Surveillance, A

* Lightweight forensic video watermarking to enable premium content consumption on mobile devices

* Lightweight Genetic Block Matching Algorithm for Video Coding, A

* Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles, A

* Lightweight implementation of No-Reference (NR) perceptual quality assessment of H.264/AVC compression

* Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders

* Lightweight mobile object recognition

* Lightweight Mobile System for Crop Disease Diagnosis, A

* lightweight multiview tracked person descriptor for camera sensor networks, A

* Lightweight People Counting and Localizing in Indoor Spaces Using Camera Sensor Nodes

* Lightweight Probabilistic Texture Retrieval

* Lightweight Protection of Visual Data Using High-Dimensional Wavelet Parametrization

* Lightweight Random Ferns using binary representation

* Lightweight SCTP for Partially Reliable Overlay Video Multicast Service for Mobile Terminals, A

* Lightweight searchable screen video recording

* Lightweight Social Computing Approach to Emergency Management Policy Selection, A

* Like Father, Like Son: Facial Expression Dynamics for Kinship Verification

* Like

* Likelihood-Based Background Model for Real Time Processing of Color Filter Array Videos, A

* Likelihood-Based Hypothesis Tests for Brain Activation Detection From MRI Data Disturbed by Colored Noise: A Simulation Study

* Likelihood-based object detection and object tracking using color histograms and EM

* Likelihood-based texture discrimination with multiscale stochastic models

* Likelihood-enhanced Bayesian constrained local models

* Likelihood-Ratio-Based Biometric Verification

* Likelihood-Ratio-Based Verification in High-Dimensional Spaces

* Likelihood-Ratio Test and Efficient Robust Estimation, The

* Likelihood Calculation for a Class of Multiscale Stochastic-Models, with Application to Texture-Discrimination

* Likelihood Calculation for a Class of Multiscale Stochastic-Models, with Application to Texture-Discrimination: Correction

* Likelihood Function for Block-Based Motion Analysis, A

* Likelihood Functions and Confidence Bounds for Total-Least-Squares Problems

* Likelihood Map Fusion for Visual Object Tracking

* Likelihood maximization approach to image registration

* Likelihood maximization for list-mode emission tomographic image reconstruction

* Likelihood Models For Template Matching using the PDF Projection Theorem

* Likelihood normalization for face authentication in variable recording conditions

* Likelihood Ratio-Based Biometric Score Fusion

* Likelihood ratio estimation in forensic identification using similarity and rarity

* Likelihood ratio in a SVM framework: Fusing linear and non-linear face classifiers

* Likelihood tuning for particle filter in visual tracking

* Likelihood word image generation model for word recognition

* Likely local shape

* Limit cycle behavior of error diffusion

* Limitation of triangles overlapping in mesh-based motion estimation using augmented Lagrangian

* Limitations of Geometric Hashing in the Presence of Gaussian Noise

* Limitations of Non Model-Based Recognition Schemes

* Limitations of Surface-Color and Apparent-Color Constancy

* Limitations of the SSIM quality metric in the context of diagnostic imaging

* limited-memory, quasi-Newton preconditioner for nonnegatively constrained image reconstruction, A

* Limited Angle Tomography Using Volumetric Constraints

* Limited Color Display for Compressed Image and Video

* Limited Ego Motion Recovery, Direction or Heading

* limited value of cophenetic correlation as a clustering criterion, The

* Limited view CT reconstruction and segmentation via constrained metric labeling

* Limited view CT reconstruction via constrained metric labeling

* Limiting Aspects of Nonconvex TV-phi Models

* Limiting the Search Range of Correlation Stereo Using Silhouettes

* Limits of brightness and color distortions based on subjective evaluation of stereoscopic images

* Limits of Learning-Based Superresolution Algorithms

* Limits of Motion-Background Segmentation Using Fundamental Matrix Estimation

* Limits of Predictability for Large-Scale Urban Vehicular Mobility

* Limits on Super-Resolution and How to Break Them

* Limits on the accuracy of 3-D thickness measurement in magnetic resonance images- Effects of voxel anisotropy

* Limits on the Application of Frequency-Based Language Models to OCR

* Limits on the Majority Vote Accuracy in Classifier Fusion

* LIMSI handwriting recognition system for the HTRtS 2014 contest, The

* LIMSI RT07 Lecture Transcription System, The

* Lincoln Laboratory Journal

* Line-Adaptive Hybrid Coding of Images

* Line-based 3d Roof Model Reconstruction Algorithm: Tin-Merging and Reshaping (TMR), A

* Line-Based Affine Invariant Object Location Using Transformation Space Decomposition

* Line-based Classification of Terrestrial Laser Scanning Data using Conditional Random Field

* Line-Based Computation of Structure and Motion Using Angular Invariance

* Line-Based Correction of Radial Lens Distortion

* Line-Based Face Recognition under Varying Pose

* Line-based global descriptor for omnidirectional vision

* Line-Based Modified Iterated Hough Transform for Autonomous Single-Photo Resection

* Line-based Multi-image Matching For FaÇade Reconstruction

* Line-based Multi-Label Energy Optimization for fisheye image rectification and calibration

* Line-based object recognition using Hausdorff distance: From Range Images to Molecular Secondary Structures

* Line-Based Recognition Using a Multidimensional Hausdorff Distance

* Line-Based Referencing between Images and Laser Scanner Data for Image-Based Point Cloud Interpretation in a CAD-Environment

* Line-Based Registration of DSM and Hyperspectral Images

* Line-Based Registration of Terrestrial and Airborne LIDAR Data

* Line-based relative pose estimation

* line-based representation for matching words in historical manuscripts, A

* Line-Based Structural Matching Via Segment Splitting

* Line-Based Structure from Motion for Urban Environments

* Line-Based, Reduced Memory, Wavelet Image Compression

* Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System, A

* Line-Drawing Interpretation: A Mathematical Framework

* Line-Drawing Interpretation: Bilateral Symmetry

* Line-Drawing Interpretation: Straight Lines and Conic Sections

* Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm

* Line-Images in Cone Mirror Catadioptric Systems

* Line-Integration Based Method for Depth Recovery from Surface Normals, A

* Line-Oriented Approach to Word Spotting in Handwritten Documents, A

* Line-Scan Computer Vision Algorithm for Identifying Human Body Features, A

* Line-Stepping for Shell Meshes

* line-structure-preserving approach to image resizing, A

* Line-sweep: Cross-ratio for wide-baseline matching and 3D reconstruction

* Line and Boundary Detection in Speckle Images

* Line and cell searching in tables or forms

* Line and edge detection by symmetry filters

* Line Assisted Light Field Triangulation and Stereo Matching

* line based approach for three-dimensionalizing urban surveillance networks, A

* Line Based Matching for Pose Estimation

* Line based Matching of Uncertain 3D Building Models with IR Image Sequences for Precise Texture Extraction

* Line based motion estimation and reconstruction of piece-wise planar scenes

* Line Based Orientation of Aerial Images

* line based pose representation for human action recognition, A

* Line Based Trinocular Stereo

* Line cluster detection using a variant of the Hough transform for culture row localisation

* Line clustering with vanishing point and vanishing line

* Line Connectivity Algorithms for an Asynchronous Pyramid Computer

* Line Correspondences from Cooperating Spatial and Temporal Grouping Processes for a Sequence of Images

* Line Detection Algorithm for Road Remarking, A

* Line detection and segmentation in historical church registers

* Line Detection and Texture Characterization of Network Patterns

* Line Detection By Local Methods

* Line Detection by Spherical Gradient

* Line detection discrete scale-space

* Line Detection Filters

* Line Detection in Digital Pictures: A Hypothesis Prediction/Verification Paradigm

* Line detection in images showing significant lens distortion and application to distortion correction

* Line Detection in Images Through Regularized Hough Transform

* Line Detection in Noisy and Structured Backgrounds Using Graeco-Latin Squares

* Line Detection in Satellite Imagery

* Line Detection Using an Optimal IIR Filter

* Line Detectors, Direct Detection of Straight Lines

* Line Drawing Analysis

* Line Drawing Editor: Schematic Diagram Editing Using Pattern Recognition Technique, The

* Line drawing interpretation in a multi-view context

* Line Drawing Interpretation Using Belief Propagation

* Line Drawing Interpretation Using Probabilistic Relaxation

* Line Drawing Interpretation

* line drawings degradation model for performance characterization, A

* Line Drawings of Octree-Represented Objects

* Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)

* Line Extraction and Pattern Detection in a Photograph

* Line Extraction from Mechanically Scanned Imaging Sonar

* Line extraction in uncalibrated central images with revolution symmetry

* Line Extraction Method for Automated SEM Inspection of VLSI Resist, A

* Line Extraction with Composite Background Subtract

* Line Extraction with the Use of an Automatic Gradient Threshold Technique and the Hough Transform

* Line Feature-Based Recognition Using Hausdorff Distance

* Line Feature Correspondence between Object Space and Image Space

* Line Feature Matching Technique Based on an Eigenvector Approach, A

* Line Finding with Subpixel Precision

* Line Fitting in a Noisy Image

* Line follower

* Line Geometry and Camera Autocalibration

* Line Geometry for 3D Shape Understanding and Reconstruction

* Line Image Vectorization Based on Shape Partitioning and Merging

* Line Integral Alternating Minimization Algorithm for Dual-Energy X-Ray CT Image Reconstruction

* Line Labeling and Junction Labeling: A Coupled System for Image Interpretation

* Line Labeling And Region-Segmentation In Stereo Image Pairs

* Line Labeling Techniques

* Line Localization from Single Catadioptric Images

* Line Matching across Catadioptric Images

* Line Matching and Pose Estimation for Unconstrained Model-to-Image Alignment

* Line matching based on planar homography for stereo aerial images

* Line Matching in Wide-Baseline Stereo: A Top-Down Approach

* Line matching leveraged by point correspondences

* Line Matching Using Appearance Similarities and Geometric Constraints

* Line Matching: Solutions and Unsolved Problems

* Line meets as-projective-as-possible image stitching with moving DLT

* Line moments and invariants for real time processing of vectorized contour data

* Line Net Global Vectorization: An Algorithm and its Performance Evaluation

* Line of Curvature Constraint and the Interpretation of 3-D Shape from Parallel Surface Contours, The

* Line of Sight Robot Navigation Toward a Moving Goal

* Line Orientation Operator

* Line Pattern Retrieval Using Relational Histograms

* Line Printer Modification for Better Gray Level Pictures

* Line Rasterization Algorithms That Satisfy the Subset Line Property

* Line Recognition

* Line reconstruction from many perspective images by factorization

* Line Removal and Restoration of Handwritten Characters on the Form Documents

* Line representation of elongated shapes

* Line scan area signature detection method

* Line Scratch Detection on Digital Images: An Energy Based Model

* Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow

* Line Search Multilevel Truncated Newton Algorithm for Computing the Optical Flow, A

* Line Segment-Based Axial Motion Stereo

* Line segment attribute recognition device having accuracy updating function

* Line Segment Based Approach for 3D Motion Estimation and Tracking of Multiple Objects

* Line Segment Based Scan Matching for Concurrent Mapping and Localization of a Mobile Robot

* Line Segment Based Stereo Analysis, Line Matching

* Line Segment Based Watershed Segmentation

* Line segment confidence region-based string matching method for map conflation

* Line Segment Curve-Fitting Algorithm Related to Optimal Encoding of Information, A

* Line Segment Detection Algorithm

* Line Segment Detection with Hough Transform Based on Minimum Entropy

* Line segment detector

* Line segment extraction for large scale unorganized point clouds

* Line Segment Extraction in Panoramic Images

* Line segment Hausdorff distance on face matching

* line segment match method for extracting road network from high-resolution satellite images, The

* Line Segment Matching for 3D Computer Vision Using a New Iteration Scheme

* Line segment matching: A benchmark

* Line Segment Ribbons and Their Grouping

* line segment table: a fast region description algorithm, The

* Line Segmentation for Degraded Handwritten Historical Documents

* Line separation for complex document images using fuzzy runlength

* Line Skeleton, The

* Line Smoothing Method of Hand-Drawn Strokes Using Adaptive Moving Average for Illustration Tracing Tasks, A

* Line structure extraction from line-drawing images

* Line Sweep Thinning Algorithm For Feature Analysis

* Line Symmetry of Convex Digital Regions

* Line Thinning by Line Following

* Line Vectorization, Document Analysis

* Line3D: Efficient 3D Scene Abstraction for the Built Environment

* Lineal Feature Detection Using Multiresolution Wavelet Filters

* Lineament Extraction from SPOT 5 and NigeriaSat-X Imagery of the Upper Benue Trough, Nigeria

* Linear-Algebraic Technique with an Application in Semantic Image Retrieval, A

* linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures, A

* Linear-Filtering of Images Based on Properties of Vision

* Linear-nonlinear neuronal model for shape from shading

* Linear-phase Paraunitary Filter Banks with Unequal Length

* Linear-Programming Fitting of Implicit Polynomials

* Linear-quadratic blind source separating structure for removing show-through in scanned documents

* Linear-Quadratic Mixing Model for Reflectances in Urban Environments

* Linear-quadratic noise-smoothing filters for quantum-limited images

* Linear-Time Algorithm for Solving the Strong Hidden-Line Problem in a Simple Polygon, A

* Linear-time Algorithm for the Generation of Random Digital Curves, A

* Linear-time algorithms for testing the realisability of line drawings of curved objects

* Linear-Time Approach for Image Segmentation Using Graph-Cut Measures, A

* linear-time component-labeling algorithm using contour tracing technique, A

* Linear-time connected-component labeling based on sequential local operations

* Linear-Time Euclidean Distance Transform Algorithms

* Linear-time online action detection from 3D skeletal data using bags of gesturelets

* Linear-Time Two-Scan Labeling Algorithm, A

* Linear 3D Elastic Segmentation Model for Vector Fields. Application to the Heart Segmentation in MRI, A

* Linear 3D LMS Motion Estimation

* Linear adaptive infrared image fusion

* Linear adaptive search range model for uni-prediction and motion analysis for bi-prediction in HEVC

* Linear Algorithm and Hexagonal Search Based Two-Pass Algorithm for Motion Estimation

* Linear Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images, A

* Linear Algorithm for Computing the Homography from Conics in Correspondence, A

* Linear Algorithm for Computing the Phase Portraits of Oriented Textures, A

* Linear Algorithm for Computing the Visibility Polygon from a Point, A

* Linear Algorithm for Finding the Convex Hull of a Simple Polygon, A

* Linear Algorithm for Motion Estimation Using Straight Line Correspondences, A

* Linear Algorithm for Motion from Three Weak Perspective Images Using Euler Angles

* linear algorithm for optimal context clustering with application to bi-level image coding, A

* Linear Algorithm for Point and Line-Based Structure from Motion, A

* Linear Algorithm for Polygonal Approximations of Thick Curves, A

* Linear Algorithm for Polygonal Representations of Digital Sets, A

* Linear Algorithm for Segmentation of Digital Curves, A

* Linear Algorithms for Multi-Frame Structure from Constrained Motion

* Linear Algorithms for Object Pose Estimation

* Linear and Bilinear Subspace Methods for Structure from Motion

* Linear and Incremental Acquisition of Invariant Shape Models from Image Sequences

* Linear and non-linear geometric object matching with implicit representation

* Linear and non-linear model for statistical localization of landmarks

* Linear and Non-Linear Models for Monocular 3D Motion Capture

* Linear and nonlinear dimensionality reduction for face recognition

* Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis

* Linear and Nonlinear Estimators for One- and Two-Dimensional Fourier Transforms

* Linear and Nonlinear Filters for Clutter Cancellation in Radar Systems

* Linear and nonlinear mapping of patterns

* Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images

* Linear and nonlinear transparency in binocular vision

* Linear and Quadratic Subsets for Template-Based Tracking

* Linear and Weakly Nonlinear Stability Analyses of Cooperative Car-Following Models

* Linear Approach for Initial Recovery of the Exterior Orientation Parameters of Randomly Captured Images by Low-Cost Mobile Mapping Systems

* Linear Approach of 3d Face Shape and Texture Recovery using a 3d Morphable Model, A

* Linear Approach to Matching Cuboids in RGBD Images, A

* linear approach to motion estimation using generalized camera models, A

* Linear Approaches to Camera Calibration from Sphere Images or Active Intrinsic Calibration Using Vanishing Points

* Linear approximations for rate control in video coding

* Linear Approximations of Quantized Thin Lines

* Linear array eye tracker

* Linear Array Processor with Dynamic Frequency Clocking for Image Processing Applications, A

* Linear array processors with multiple access modes memory for real-time image processing

* Linear Augmented Reality Registration

* Linear auto-calibration for ground plane motion

* Linear band detection based on the Euclidean distance transform and a new line segment extraction method

* Linear Binary Tree

* Linear Boundary and Corner Detection Using Limited Number of Sensor Rows

* Linear boundary discriminant analysis

* Linear camera autocalibration with varying parameters

* Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development, A

* Linear classifier combination and selection using group sparse regularization and hinge loss

* linear classifier design approach, A

* linear classifier for gaussian class conditional distributions with unequal covariance matrices, A

* Linear classifiers by window training and basis exchange

* Linear Classifiers in Perceptron Design

* Linear Clutter Removal from Urban Panoramas

* Linear collaborative discriminant regression classification for face recognition

* Linear color-separable human visual system models for vector error diffusion halftoning

* Linear Color Correction Method for Compressed Images and Videos, A

* Linear color segmentation and its implementation

* Linear colour correction for multiple illumination changes and non-overlapping cameras

* Linear combination of norms in improving approximation of Euclidean norm

* Linear combination of weighted t-cost and chamfering weighted distances

* Linear Combination Representation for Outlier Detection in Motion Tracking

* Linear Complexity Approximate Method for Multi-Target Particle Filter Track before Detect, A

* Linear Complexity Procedure for Labelling Line Drawings of Polyhedral Scenes Using Vanishing Points, A

* linear constrained distance-based discriminant analysis for hyperspectral image classification, A

* Linear constraints for the interpretation of line drawings of curved objects

* Linear Constraints in Two-View Multiple Homography Estimation of Uncalibrated Scenes

* Linear convergence rate for the MDM algorithm for the Nearest Point Problem

* Linear cyclic pursuit based prediction of personal space violation in surveillance video

* Linear Decomposition of Planar Shapes

* Linear Delineation

* Linear Demosaicing Inspired by the Human Visual System

* Linear Dependency Modeling for Classifier Fusion and Feature Combination

* Linear dependency modeling for feature fusion

* Linear Differential Algorithm for Motion Recovery: A Geometric Approach

* Linear dimension reduction and Bayes classification with unknown population parameters

* Linear dimension reduction and Bayes classification

* Linear dimensionality reduction by maximizing the Chernoff distance in the transformed space

* Linear Dimensionality Reduction through Eigenvector Selection for Object Recognition

* Linear dimensionality reduction using relevance weighted LDA

* Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion

* Linear Discrete Line Recognition and Reconstruction Based on a Generalized Preimage

* Linear Discriminant-Analysis for Two Classes via Removal of Classification Structure

* Linear discriminant analysis and discriminative log-linear modeling

* Linear Discriminant Analysis Based on L1-Norm Maximization

* Linear discriminant analysis for data with subcluster structure

* linear discriminant analysis framework based on random subspace for face recognition, A

* linear discriminant analysis method based on mutual information maximization, A

* Linear Discriminant Analysis of MPF for Face Recognition

* Linear Discriminant Analysis with Maximum Correntropy Criterion

* Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift

* Linear discriminant multiple kernel learning for multispectral image classification

* Linear discriminant projection embedding based on patches alignment

* Linear Discriminant Regression Classification for Face Recognition

* Linear Discriminants and Image Quality

* Linear discrimination with symmetrical models

* Linear discriminative image processing operator analysis

* linear discriminator of width, A

* Linear Distance Coding for Image Classification

* Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces, A

* Linear Dynamic Data Fusion Techniques for Face Orientation Estimation in Smart Camera Networks

* Linear Dynamic Range Reduction of Musical Audio Using an Allpass Filter Chain

* Linear Dynamical System Framework for Salient Motion Detection, A

* linear edge model and its application in lossless image coding, A

* Linear ego-motion recovery algorithm based on quasi-parallax

* Linear Elastic Force Optimization Model for Shape Matching, A

* Linear embeddings in non-rigid structure from motion

* Linear Epipolar Algorithm for Multiframe Orientation

* linear estimation method for 3D pose and facial animation tracking, A

* Linear estimation method for three-dimensional position with affine camera correction

* Linear Estimation of 4-D Illumination Light Field from Diffuse Reflections

* Linear estimator for fractional systems

* Linear Estimator Optimized for the Structural Similarity Index and its Application to Image Denoising, A

* Linear Euclidean Distance Transform Algorithm Based on the Linear-Time Legendre Transform, A

* Linear Facial Expression Transfer with Active Appearance Models

* Linear Feature-Based Approach for the Registration of Unmanned Aerial Vehicle Remotely-Sensed Images and Airborne LiDAR Data, A

* Linear Feature Compatibility for Pattern-Matching Relaxation

* Linear Feature Detection and Enhancement in Noisy Images via the Radon Transform

* Linear Feature Detection in Polarimetric SAR Images

* Linear Feature Detection on GPUs

* Linear Feature Extraction and Description

* Linear feature extraction by integrating pairwise and global discriminatory information via sequential forward floating selection and kernel QR factorization with column pivoting

* Linear Feature Extraction for Multiclass Classification Problems Based on Class Mean and Covariance Discriminant Information, A

* Linear Feature Extraction of Buildings from Terrestrial LIDAR Data with Morphological Techniques

* Linear Feature Extraction with 3-D LSB-Snakes

* Linear Feature Extraction with Dynamic Programming and Globally Enforced Least Squares Matching

* Linear Feature Extraction

* Linear Feature Extractors Based on Mutual Information

* Linear Feature Mapping

* Linear feature selection in texture analysis: A PLS based method

* Linear feature selection with applications

* Linear Feature Separation From Topographic Maps Using Energy Density and the Shear Transform

* Linear features extraction in rain forest context from interferometric SAR images by fusion of coherence and amplitude information

* Linear Features Extraction With An Orientation Constrained Probabilistic Hough Transform

* Linear Features for Photogrammetric Restitution and Object Completion

* Linear filter design for CNR enhancement of MR images with multiple interfering features

* Linear filtering and mathematical morphology on an image: A bridge

* Linear Filtering in Image Sequences

* Linear Filtering Models for Texture Classification and Segmentation

* Linear filtering of spatially invariant image sequences for feature separation and compression under three types of image noise

* Linear filters for deconvolution microscopy

* Linear Fitting with Missing Data for Structure-from-Motion

* Linear Fitting with Missing Data: Applications to Structure from Motion and to Characterizing Intensity Images

* Linear Flaw Detection in Woven Textiles Using Model Based Clustering

* Linear FM Signal Detection Performance from Discrete-Time Observations

* linear formulation of shape from specular flow, A

* Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization, A

* Linear Fusion of Image Sets for Display

* Linear Gaussian blur evolution for detection of blurry images

* Linear generalization probe samples for face recognition

* Linear Generalized Camera Calibration from Three Intersecting Reference Planes, A

* linear generalized Hough transform and its parallel implementation, A

* Linear Generalized Hough Transform and Its Parallelization

* Linear Geo-Photometric Constraint for Image Matching, Structure Reconstruction, Image Synthesis and Object Recognition, The

* Linear Global Translation Estimation with Feature Tracks

* Linear Granulometric Moments of Noisy Binary Images

* Linear Hashtable Method Predicted Hexagonal Search Algorithm with Spatial Related Criterion

* Linear Image-Pair Model and the Associated Hypothesis Test for Matching, A

* Linear Image Coding for Regression and Classification using the Tensor-rank Principle

* Linear Image Features in Stereopsis

* Linear Image Processing Operations With Operational Tight Packing

* Linear Image Reconstruction by Sobolev Norms on the Bounded Domain

* Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A

* Linear impulsive system optimization using adaptive dynamic programming

* linear incremental algorithm for naive and standard digital lines and planes recognition, A

* Linear Interpolation Algorithm for Spectral Filter Array Demosaicking, A

* Linear Interpolation Revitalized

* Linear interpolator for color correction

* Linear Iterative Method for Auto-Calibration using the DAC Equation, A

* Linear Laplacian Discrimination for Feature Extraction

* Linear Latent Force Models Using Gaussian Processes

* Linear Layout Processing

* Linear Least-Squares Filtering of Distorted Images

* linear least-squares solution to elastic Shape-from-Template, A

* Linear least squares compartmental-model-independent parameter identification in PET

* Linear Local Distance coding for classification of HEp-2 staining patterns

* Linear Local Models for Monocular Reconstruction of Deformable Surfaces

* Linear manifold clustering in high dimensional spaces by stochastic search

* Linear Manifold Color Descriptor for Medicine Package Recognition, A

* Linear Mapping for Stereo Triangulation, A

* Linear Mapping Technique for Optimizing Binary Templates in Noise-Free Pattern Matching, A

* Linear markers for robot navigation with panoramic vision

* Linear Max K-min classifier, A

* Linear Method for Reconstruction from Lines and Points, A

* Linear Methods for Image Interpolation

* Linear Mixture Analysis for Hyperspectral Imagery in the Presence of Less Prevalent Materials

* Linear Mixture Models, Full and Partial Unmixing in Multi- and Hyperspectral Image Data

* Linear MMSE Filtering for Restoration of Images Degraded by Film Grain Noise

* Linear MMSE Processing Design for 3-Phase Two-Way Cooperative MIMO Relay Systems

* Linear model combining by optimizing the Area under the ROC curve

* linear model for simultaneous estimation of 3D motion and depth, A

* Linear model hashing and batch RANSAC for rapid and accurate object recognition

* Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data

* Linear Models for Infrared Spectra

* Linear models in color constancy theory

* Linear Models of Surface and Illuminant Spectra

* Linear Motion Estimation for Image Sequence Based Accurate 3-D Measurements

* Linear motion estimation for systems of articulated planes

* Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane

* Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane

* Linear Multi View Reconstruction and Camera Recovery

* Linear Multi View Reconstruction with Missing Data

* Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics

* Linear N-Point Camera Pose Determination

* Linear N >=4-Point Pose Determination

* Linear Neighborhood Propagation and Its Applications

* Linear Neural Circuitry Model for Visual Receptive Fields

* Linear Neural Network for the Solution of Limited Angle Problems in Computer Aided Tomography

* Linear Object Classes and Image Synthesis from a Single Example Image

* Linear Octree by Volume Intersection Using Perspective Silhouettes

* Linear Octree of a 3D Object from 2D Silhouettes Using Segment Tree

* Linear Octrees by Volume Intersection

* Linear Octtrees for Fast Processing of Three-Dimensional Objects

* Linear One-Sided Stability of MAT for Weakly Injective Domain

* Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images, A

* Linear Phase Paraunitary Filter Banks with Unequal-Length Filters

* Linear Poisson Models: A Pattern Recognition Solution to the Histogram Composition Problem

* Linear pose estimate from corresponding conics

* Linear Pose Estimation from Points or Lines

* Linear Pre/Post Filters for Transform and Subband/Wavelet Coding

* Linear Precoder Design for MIMO-ISI Broadcasting Channels Under Channel Shortening Detection

* Linear Prediction Based Mixture Models for Event Detection in Video Sequences

* Linear prediction image coding using iterated function systems

* linear prediction land mine detection algorithm for hand held ground penetrating radar, A

* Linear Prediction Techniques

* Linear predictive transform of monochrome images

* linear predictor as a regularization function in adaptive image restoration and reconstruction, A

* Linear Predictors for Fast Simultaneous Modeling and Tracking

* Linear Prefilter for Image Sampling with Ringing Artifact Control, A

* Linear production game solution to a PTZ camera network

* Linear Programming Approach fo the Weighted Graph Matching Problem, A

* Linear Programming Approach for Multiple Object Tracking, A

* Linear Programming Approach for Optimal Contrast-Tone Mapping, A

* Linear Programming Approach to Max-Sum Problem: A Review, A

* Linear Programming Based Method for Joint Object Region Matching and Labeling, A

* Linear Programming Matching and Appearance-Adaptive Object Tracking

* Linear programming support vector machines

* Linear projection methods in face recognition under unconstrained illuminations: a comparative study

* Linear Projective Reconstruction from Matching Tensors

* Linear Pushbroom Cameras

* linear quadtree compression scheme for image encryption, A

* Linear Quadtrees from Vector Representations of Polygons

* Linear Quadtrees: A Blocking Technique for Contour Filling

* Linear Quasi-Parallax SfM Using Laterally-Placed Eyes

* Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions

* Linear Ranking Analysis

* Linear Rate-Distortion Models for MPEG-4 Shape Coding

* Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast

* linear rate control model for better target buffer level tracking in H.264, A

* Linear Reconstruction from Dual Multilinear Constraints

* Linear reconstruction measure steered nearest neighbor classification framework

* Linear Recovery of the Exterior Orientation Parameters in a Planar Object Space

* Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking

* Linear Regression for Face Recognition

* Linear regression motion analysis for unsupervised temporal segmentation of human actions

* Linear representation of discrete surfaces in 3D

* Linear Resection, Intersection, and Perspective-Independent Model-Matching in Photogrammetry: Theory

* Linear Resolution Enhancement

* Linear Scale-Space has First been Proposed in Japan

* Linear Scale-Space I: Basic Theory

* Linear Scale-Space II: Early Visual Operators

* Linear Scale-Space Theory for Continuous Nonlocal Evolutions, A

* Linear Scale-Space Theory from Physical Principles

* Linear Scale-Space

* Linear Scale and Rotation Invariant Matching

* linear self-calibration approach for camera focal length estimation, A

* Linear Self-Calibration Method Based on Active Vision System, A

* Linear Self-Calibration of a Rotating and Zooming Camera

* Linear Separable Classification

* Linear Sequence-to-Sequence Alignment

* Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences

* Linear Shape from Shading

* Linear shift-invariant operators for processing surface meshes

* Linear shift-variant filtering for POCS reconstruction of irregularly sampled images

* linear shift invariant multiscale transform, A

* Linear Signal Decomposition Approach to Affine Invariant Contour Identification, A

* Linear Skeletons from Square Cupboards

* Linear Solution for Multiframe Structure from Motion, A

* Linear solution for oneshot active 3D reconstruction using two projectors

* Linear solution for the pose estimation of noncentral catadioptric systems

* Linear Solution to 1-Dimensional Subspace Fitting under Incomplete Data, A

* Linear solution to scale and rotation invariant object matching

* Linear solution to scale invariant global figure ground separation

* Linear Solvability in the Viewing Graph

* linear source model and a unified rate control algorithm for DCT video coding, A

* Linear Space Algorithm for Computing Maximal Common Subsequences, A

* Linear sparse feature based face detection in gray images

* Linear spatial pyramid matching using sparse coding for image classification

* Linear Spatial Spectral Mixture Model

* Linear Spatio-Temporal Scale-Space

* Linear Spectral Mixing Model for Identifying Potential Missing Endmembers in Spectral Mixture Analysis

* Linear Spectral Mixture Analysis Based Approaches to Estimation of Virtual Dimensionality in Hyperspectral Imagery

* Linear Spectral Mixture Analysis via Multiple-Kernel Learning for Hyperspectral Image Classification

* Linear Spectral Mixture Models and Support Vector Machines for Remote Sensing

* Linear Spectral Random Mixture Analysis for Hyperspectral Imagery

* Linear stereo matching

* Linear stratified approach for 3D modelling and calibration using full geometric constraints

* Linear Stratified Self-Calibration and Euclidean Reconstruction

* Linear Structure From Motion

* Linear Structures in Mammographic Images: Detection and Classification

* Linear Subclass Support Vector Machines

* linear subspace learning approach via sparse coding, A

* Linear Subspace Methods for Recovering Translation Direction

* Linear subspaces for facial expression recognition

* Linear Subspaces for Illumination Robust Face Recognition

* Linear Support Higher-Order Tensor Machine for Classification, A

* Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos

* linear system form solution to compute the local space average color, A

* Linear Systems Approach to Imaging Through Turbulence, A

* Linear Systolic Array for Real Time Morphological Image Processing, A

* Linear Time Algorithm for Binary Fingerprint Image Denoising Using Distance Transform, A

* linear time algorithm for computing exact euclidean distance transforms of binary images in arbitrary dimensions, A

* Linear Time Algorithm for Computing the Convex Hull of an Ordered Crossing Polygon, A

* Linear Time Algorithm for Finding a Picture's Connected Components

* Linear Time Algorithm for Minimum Link Paths inside a Simple Polygon, A

* Linear Time Algorithm for Obtaining the Convex Hull of a Simple Polygon, A

* Linear Time Algorithm for the Hausdorff Distance Between Convex Polygons, A

* Linear Time Algorithms for an Image Labelling Machine

* Linear Time Algorithms for Exact Distance Transform

* Linear Time and Space Algorithm for Detecting Path Intersection, A

* Linear Time and Space Algorithm for Optimal Traffic-Signal Duration at an Intersection, A

* Linear Time Constant-Working Space Algorithm for Computing the Genus of a Digital Object

* Linear Time Distance Transforms for Quadtrees

* Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification

* Linear Time Histogram Metric for Improved SIFT Matching, A

* Linear Time Illumination Invariant Stereo Matching

* Linear Time Implementation of k-Means for Multilevel Thresholding of Grayscale Images, A

* Linear Time Maximally Stable Extremal Regions

* Linear time offline tracking and lower envelope algorithms

* Linear time recognition algorithms for topological invariants in 3D

* Linear Time Recognition of Digital Arcs, The

* Linear Tracking for 3-D Medical Ultrasound Imaging

* Linear transform for simultaneous diagonalization of covariance and perceptual metric matrix in image coding

* Linear Transformation Groups and Shape Space

* Linear Transformation of Pictures Represented by Quad Trees

* Linear Transformation Parameter Estimation for Fault Detection

* Linear Transition Detection as a Unified Shot Detection Approach

* Linear Trinocular Rectification Method for Accurate Stereoscopic Matching, A

* Linear Unmixing in BRDF Reproduction and 3D Shape Recovery

* Linear Versus Nonlinear Neural Modeling for 2-D Pattern Recognition

* Linear view synthesis using a dimensionality gap light field prior

* Linear view/image restoration for dense light fields

* Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision

* Linear vs. Quadratic Optimization Algorithms for Bias Correction of Left Ventricle Chamber Boundaries in Low Contrast Projection Ventriculograms Produced from Xray Cardiac Catheterization Procedure

* linear wavelet filter for parametric imaging with dynamic PET, A

* Linear, Worst-Case Estimators for Denoising Quantization Noise in Transform Coded Images

* Linearised Euclidean Shortening Flow of Curve Geometry

* Linearity and Shift Invariance for Quantitative Magnetic Particle Imaging

* Linearity of each channel pixel values from a surface in and out of shadows and its applications

* Linearization to Nonlinear Learning for Visual Tracking

* Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures

* Linearized Bregman Iterations For Frame-Based Image Deblurring

* Linearized Bregman Method via Split Feasibility Problems: Analysis and Generalizations, The

* Linearized Motion Estimation for Articulated Planes

* Linearized Multidimensional Earth-Mover's-Distance Gradient Flows

* Linearized proximal alternating minimization algorithm for motion deblurring by nonlocal regularization

* Linearized Robust Beamforming for Two-Way Relay Systems

* Linearized Smooth Additive Classifiers

* Linearized static panoramic optical mirror

* Linearly-Constrained Recursive Total Least-Squares Algorithm

* Linearly Constrained Generalized Lloyd Algorithm for Virtual Codebook Vector Quantization

* Linearly Constrained Non-Lipschitz Optimization for Image Restoration

* Linearly Estimating All Parameters of Affine Motion Using Radon Transform

* Linearly independent ternary arithmetic helix transforms, their properties and relations

* LiNearN: A new approach to nearest neighbour density estimator

* LineCast: Line-Based Distributed Coding and Transmission for Broadcasting Satellite Images

* LineDiff Entropy: Lossless Layout Data Compression Scheme for Maskless Lithography Systems

* Lines and Points in Three Views and the Trifocal Tensor

* Lines and Points in Three Views: A Unified Approach

* Lines and Points in Three Views: An Integrated Approach

* Lines as the Fundamental Unit of Vision

* Lines in One Orthographic and Two Perspective Views

* Linguistic Analysis of Laser Speckle Contrast Images Recorded at Rest and During Biological Zero: Comparison With Laser Doppler Flowmetry Data

* linguistic approach to classification of bacterial genomes, A

* Linguistic Context In Vision

* Linguistic description of relative positions in images

* Linguistic Dynamic Analysis of Traffic Flow Based on Social Media: A Case Study

* Linguistic Feature Vector for the Visual Interpretation of Sign Language, A

* linguistic fuzzy recogniser of off-line handwritten characters, A

* Linguistic integration information in the aabatas arabic text analysis system

* Linguistic Methods for the Description of a Straight Line on a Grid

* Linguistic Methods in Picture Processing: A Survey

* Linguistic summarization of video for fall detection using voxel person and fuzzy logic

* link-analysis-based discriminant analysis for exploring partially labeled graphs, A

* Link-Based Approach to the Cluster Ensemble Problem, A

* Link Adaptation for High-Quality Uncompressed Video Streaming in 60-GHz Wireless Networks

* Link Adaptation Scheme for Efficient Transmission of H.264 Scalable Video Over Multirate WLANs, A

* link adaptation scheme optimized for wireless JPEG 2000 transmission over realistic MIMO systems, A

* Link between copula and tomography

* Link Between Image Based and Feature Based Active Contours, A

* Link Between Shape and Phase, A

* Link functions and Matérn kernel in the estimation of reflectance spectra from RGB responses

* Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

* Linked Data and SDI: The case on Web geoprocessing workflows

* Linked Data Approach for Geospatial Data Provenance, A

* Linked edges as stable region boundaries

* Linked geometric features for modeling the fluid flow in developing embryonic vertebrate hearts

* Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition

* LinkFCM: Relation integrated fuzzy c-means

* Linking Between Image Sequences and Related Digital Maps

* Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features

* Linking Broken Character Borders with Variable Sized Masks to Improve Recognition

* Linking Feature Lines on 3D Triangle Meshes with Artificial Potential Fields

* Linking Image-Space and Accumulator-Space: A New Approach for Object Recognition

* Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant a-Diversity of the Okavango Basin

* Linking Models for Multiscale Image Segmentation

* Linking Objects of Different Spatial Data Sets by Integration and Aggregation

* Linking Past to Present: Discovering Style in Two Centuries of Architecture

* Linking People in Videos with Their Names Using Coreference Resolution

* Linking Pose and Motion

* Linking Recognition Accuracy and User Experience in an Affective Feedback Loop

* Linking Sequences of Active Appearance Sub-Models via Constraints: An Application in Automated Vertebral Morphometry

* Linking text and visual concepts semantically for cross modal multimedia search

* Linking the von Kries model to Wien's law for the estimation of an illuminant invariant image

* Linking User Generated Video Annotations to the Web of Data

* Linking visual concept detection with viewer demographics

* Linkoping University

* Links Between Image Segmentation Based on Optimum-Path Forest and Minimum Cut in Graph

* Links Between LVQ and Backpropagation

* Links between Markov models and multilayer perceptrons

* Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms

* LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images

* Lip-motion events analysis and lip segmentation using optical flow

* Lip-Reading Technique Using Spatio-Temporal Templates and Support Vector Machines

* lip-tracking system based on morphological processing and block matching techniques, A

* Lip Biometrics for Digit Recognition

* Lip contour extraction for language learning in VEC3D

* Lip contour extraction from color images using a deformable model

* Lip Contour Extraction Method Using Localized Active Contour Model with Automatic Parameter Selection, A

* Lip Contour Extraction Using a Deformable Model

* Lip contour segmentation and tracking compliant with lip-reading application constraints

* Lip Contour Segmentation Using Kernel Methods and Level Sets

* Lip contour tracking using multiple dynamic models on a manifold

* Lip detection and tracking

* Lip Detection Using Confidence-Based Adaptive Thresholding

* Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit

* lip extraction algorithm using region-based ACM with automatic contour initialization, A

* Lip Feature Extraction Towards an Automatic Speechreading System

* Lip features automatic extraction

* Lip Image Segmentation Using Fuzzy Clustering Incorporating an Elliptic Shape Function

* Lip localization and performance evaluation

* Lip Localization Based on Active Shape Model and Gaussian Mixture Model

* Lip Motion Automatic Detection

* Lip Motion Capture and Its Application to 3-D Molding

* Lip Movement Synthesis from Speech Based on Hidden Markov Models

* Lip Posture Estimation using Kinematically Constrained Mixture Models

* Lip Reading Based on Sampled Active Contour Model

* Lip Reading from Scale-Space Measurements

* Lip Reading Using Wavelet-Based Features and Random Forests Classification

* Lip Reading: Automatic Visual Recognition of Spoken Words

* Lip Recognition Using Morphological Pattern Spectrum

* Lip Segmentation under MAP-MRF Framework with Automatic Selection of Local Observation Scale and Number of Segments

* Lip Segmentation Using Level Set Method: Fusing Landmark Edge Distance and Image Information

* Lip Shape and Hand Position Fusion for Automatic Vowel Recognition in Cued Speech for French

* Lip Signatures for Automatic Person Recognition

* Lip Synchronization Using Linear Predictive Analysis

* Lip tracking under varying expressions utilizing domain knowledge

* Lippmann photography and the glory of frozen light: Eternal photographic color real and false

* Lipreading by Locality Discriminant Graph

* Lipreading from Color Motion Video

* Lipreading from Color Video

* Lipreading using Fourier transform over time

* Lipreading Using Recurrent Neural Prediction Model

* Lipreading using signal analysis over time

* Lipreading With Local Spatiotemporal Descriptors

* Lipreading with Spiking Neurons: One Pass Learning

* Lipreading, Lip Reading, Lip Tracking

* Lipreading: A Classifier Combination Approach

* Lipreading: A Graph Embedding Approach

* Lips Contour Detection and Tracking Using Watershed Region-Based Active Contour Model and Modified H_inf

* Lips Recognition for Biometrics

* Liquid crystal elements for 3D displays

* liquid crystal light valve, an optical-to-optical interface device, The

* Liquid Crystal Polarization Camera

* LIRE Request Handler: A Solr Plug-In for Large Scale Content Based Image Retrieval, The

* LIRIS-ACCEDE: A Video Database for Affective Content Analysis

* LiSens- A Scalable Architecture for Video Compressive Sensing

* List-mode EM algorithms for limited precision high-resolution PET image reconstruction

* List-mode image reconstruction for real-time PET imaging

* List-Mode Likelihood: EM Algorithm and Image Quality Estimation Demonstrated on 2-D PET

* List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

* List decoding of Reed Solomon codes for wavelet based colour image watermarking scheme

* List of Clusters Revisited, The

* List Processing Approach to Compute Voronoi Diagrams and the Euclidean Distance Transform, A

* List Viterbi Decoding of Convolutional Codes for Efficient Data Hiding

* LISTEN: a system for locating and tracking individual speakers

* Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines

* Lit-Sphere extension for artistic rendering

* Literature review of fingerprint quality assessment and its evaluation

* literature survey on robust and efficient eye localization in real-life scenarios, A

* Lithological Mapping of Dahab Basin, South Sinai, Egypt, using ASTER Data

* Live 3D shape reconstruction, recognition and registration

* Live 3D Video in Soccer Stadium

* Live actor integration in pre-recorded well known video

* Live capture, rectification, and streaming of stereoscopic internet video for casual users

* Live cell image segmentation

* Live cell imaging: a computational perspective

* Live Cell Segmentation in Fluorescence Microscopy via Graph Cut

* Live Coral Cover Index Testing and Application with Hyperspectral Airborne Image Data

* Live dense reconstruction with a single moving camera

* Live Dense Reconstruction with Moving Cameras

* Live Feature Clustering in Video Using Appearance and 3d Geometry

* Live image analysis for computer assisted presentation

* Live Key Frame Extraction in User Generated Content Scenarios for Embedded Mobile Platforms

* Live Metric 3D Reconstruction on Mobile Phones

* Live Multimedia Adaptation Through Wireless Hybrid Networks

* Live Repetition Counting

* Live RGB-D camera tracking for television production studios

* Live Version Identification with Audio Scene Detection

* live video analytic system for affect analysis in public space, A

* Live video object tracking and segmentation using graph cuts

* Live Video Segmentation in Dynamic Backgrounds Using Thermal Vision

* Live video synopsis for multiple cameras

* LIVEcut: Learning-based Interactive Video Segmentation by Evaluation of Multiple Propagated Cues

* Liveness Detection for Fingerprint Scanners Based on the Statistics of Wavelet Signal Processing

* Liveness detection for iris recognition using multispectral images

* liveness detection method for face recognition based on optical flow field, A

* Liveness Detection, Spoofing, Faces, Other Biometrics

* Liveness Detection, Spoofing, Fingerprint Recognition

* Liveness Enforcing Supervision of Video Streaming Systems Using Nonsequential Petri Nets

* Liver Definition in CT Using a Population-Based Shape Model

* Liver Disease, Tomography, CAT Analysis

* Liver segmentation based on deformable registration and multi-layer segmentation

* Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains

* Liver segmentation with constrained convex variational model

* Liver tumor detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm

* Living in a dynamic world

* Living without Menu Bar: A Shape Retrieval Based Word Editor

* LLC Revisit: Scene Classification with k-Farthest Neighbours

* LLE and a linear mapping, The

* LLM Integer Cosine Transform and its Fast Algorithm

* LLN-based Model-Driven Validation of Data Points for Random Sample Consensus Methods

* Lloyd's Algorithm on GPU

* Lloyd clustering of Gauss mixture models for image compression and classification

* LLRT based detection of LSB hiding

* LLSURE: Local Linear SURE-Based Edge-Preserving Image Filtering

* LLVM-based and scalable MPEG-RVC decoder

* LMA-Based Motion Retrieval for Folk Dance Cultural Heritage

* LMI-based 2D-3D registration: From uncalibrated images to Euclidean scene

* LMI-Based Stability and Performance Conditions for Continuous-Time Nonlinear Systems in Takagi-Sugeno's Form

* LMI Approach for Reliable PTZ Camera Self-Calibration, An

* LMI Technologies Inc.

* LMI Technologies

* LMM-based frame-level rate control for H.264/AVC high-definition video coding

* LMMSE-Based Image Denoising in Nonsubsampled Contourlet Transform Domain

* LMMSE 3-D SAR Focusing

* LMS-based attack on watermark public detectors

* Ln norm optimal histogram matching and application to similarity retrieval

* Load-Balanced Algorithm for Parallel Digital Image Warping, A

* Load-balanced locality-sensitive hashing: A new method for efficient near duplicate image detection

* Load Balancing Requirement In Parallel Implementations Of Image Feature Extraction Tasks

* load unbalancing problem for region growing image segmentation algorithms, The

* Local-feature-based similarity measure for stochastic resonance in visual perception of spatially structured images

* Local-Frame Based Method for Vector Field Construction on Raw Point Cloud, A

* Local-Learning-Based Feature Selection for High-Dimensional Data Analysis

* Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification

* local-motion-based probabilistic model for visual tracking, A

* Local-Prediction-Based Difference Expansion Reversible Watermarking

* Local-spectrum-based distinction between handwritten and machine-printed characters

* Local-Structure of Space-Variant Images, The

* Local-to-Global Signature Descriptor for 3D Object Recognition

* Local 2D Pattern Spectra as Connected Region Descriptors

* Local 3D Shape Analysis for Facial Expression Recognition

* Local 3D structure recognition in range images

* Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds

* Local 3D Texture Anisotropy Analysis of Seismic Reflection Data

* Local Abnormality Detection in Video Using Subspace Learning

* Local Absolute Binary Patterns as Image Preprocessing for Grip-Pattern Recognition in Smart Gun

* Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset, A

* Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images, A

* Local Adaptive Approach for Dense Stereo Matching in Architectural Scene Reconstruction, A

* Local Adaptive Calibration of the Satellite-Derived Surface Incident Shortwave Radiation Product Using Smoothing Spline

* Local adaptive nonlinear diffusion

* Local adaptive rational interpolation filter and its application for deinterlacing

* Local adaptive receptive field self-organizing map for image color segmentation

* Local Adaptive SVM for Object Recognition

* Local adaptive tone mapping with composite multiple gamma functions

* Local Adaptive Transform Based Image Denoising with Varying Window Size

* Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation

* Local Affine Frames for Image Retrieval

* Local affine frames for wide-baseline stereo

* Local Affine Image Matching and Synthesis Based on Structural Patterns

* Local Affine Optical Flow Computation

* Local age group modeling in unconstrained face images for facial age classification

* Local albedo-insensitive single image dehazing

* Local Algorithm for Monitoring Total Suspended Sediments in Micro-Watersheds Usin Drones and Remote Sensing Applications. Case Study: TeusacÁ River, La Calera, Colombia

* Local Algorithm for Real-Time Junction Detection in Contour Images, A

* Local Algorithm for the Computation of Image Velocity via Constructive Interference of Global Fourier Components, A

* Local Algorithm for the Computation of Optic Flow via Constructive Interference of Global Fourier Components, A

* Local Alignment of Gradient Features for Face Sketch Recognition

* Local Alignments for Fine-Grained Categorization

* Local Analysis for 3D Reconstruction of Specular Surfaces

* Local Analysis for 3D Reconstruction of Specular Surfaces: Part II

* Local Analysis of the Image limitations and Uses of Shading

* Local and Global Analysis for Point Cloud Data

* Local and Global Collaboration for Object Detection Enhancement with Information Redundancy

* Local and Global Feature Extraction for Face Recognition

* Local and global feature selection for on-line signature verification

* Local and Global Geometric Methods for Analysis Interrogation, Reconstruction, Modification and Design of Shape

* Local and Global Statistics-Based Explicit Active Contour for Weld Defect Extraction in Radiographic Inspection

* Local and global tomographic image reconstruction with discrete radon transform

* Local and Global Topology Preservation in Locally Finite Sets of Tiles

* Local and global uncertainty in binary tomographic reconstruction

* Local and holistic texture analysis approach for face recognition

* Local and Multilocal Scale-Space Description

* Local and Non-Local Approximation in Image Processing

* Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing

* Local and Regional Edge Detectors: Some Comparisons

* Local and Semi-Local Shape from Shading for a Simple Perspective Image of a Smooth Object

* Local and Weighted Maximum Margin Discriminant Analysis

* Local Angular Patterns for Color Texture Classification

* Local anisotropy analysis for non-smooth images

* Local anomaly detection in crowded scenes using Finite-Time Lyapunov Exponent based clustering

* Local appearance-based models using high-order statistics of image features

* Local Appearance for Robust Object Recognition

* Local Application of Optic Flow to Analyse Rigid versus Non-Rigid Motion

* Local Application of Optic Flow to Analyze Rigid versus Non-Rigid Motion

* local approach for 3D object recognition through a set of size functions, A

* Local approach for face verification in polar frequency domain

* Local Approach for Inter-individual Functional Registration, A

* Local Approach for Negative Emotion Detection, A

* Local Approach for Robust Optical Flow Estimation under Varying Illumination, A

* Local Approach To Recovering Global Skewed Symmetry, A

* Local Appropriate Scale in Morphological Scale-Space

* Local approximate 3D matching of proteins in viral cryo-EM density maps

* Local Associated Features for Pedestrian Detection

* Local Association Based Recognition of Two-Dimensional Objects

* Local autocorrelation of similarities with subspaces for shift invariant scene classification

* Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field

* Local Bag-of-Features Model for Large-Scale Object Retrieval, A

* Local bandwidth constrained fast inverse motion compensation for DCT-domain video transcoding

* Local Basis Representation for Estimating Human Pose from Cluttered Images, A

* Local Bayesian image restoration using variational methods and Gamma-Normal distributions

* Local behavior modeling based on long-term tracking data

* Local Behaviours Labelling for Content Based Video Copy Detection

* Local Binary Pattern-Based Features for Text Identification of Web Images

* Local binary pattern and its derivatives for face recognition

* Local Binary Pattern Approach and its Applications to Face Analysis, The

* Local Binary Pattern Based Fast Digital Image Stabilization

* Local Binary Pattern Descriptors for Dynamic Texture Recognition

* Local Binary Pattern features for pedestrian detection at night/dark environment

* Local Binary Pattern histogram based Texton learning for texture classification

* Local Binary Pattern Matching for Fast Retina Map Relocalization Using the Slit-Lamp

* Local binary pattern probability model based facial feature localization

* Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification

* Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

* Local Binary Patterns as an Image Preprocessing for Face Authentication

* Local Binary Patterns Calculated over Gaussian Derivative Images

* Local binary patterns for a hybrid fingerprint matcher

* Local binary patterns for lip motion analysis

* Local binary patterns for multi-view facial expression recognition

* Local binary patterns on triangular meshes: Concept and applications

* Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis

* Local Binary Patterns, LBP, Point Features

* Local Blur Estimation and Super Resolution

* Local Blur Estimation Based on Toggle Mapping

* Local blur formulation for depth from defocus

* Local Boosted Features for Pedestrian Detection

* Local brightness adaptive image colour enhancement with Wasserstein distance

* Local Characteristic Image Restoration Based on Convolutional Neural Network, A

* Local Characteristics of Binary Images and Their Application to the Automatic Control of Low-Level Robot Vision

* Local characterization of a maximum set of digital (26, 6)-surfaces

* Local Characterization of Strong Surfaces within Strongly Separating Objects

* Local circular patterns for multi-modal facial gender and ethnicity classification

* Local Clustering Patterns in Polar Coordinate for Face Recognition

* Local co-occurrence features in subspace obtained by KPCA of local blob visual words for scene classification

* Local Color and Texture Extraction and Spatial Query

* Local Color Correction

* local color descriptor for efficient scene-object recognition, A

* Local Color Descriptor for Object Recognition across Illumination Changes

* Local color distribution projection filtering using a homogeneous coordinate system

* Local color editing using color classification and boundary inpainting

* Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization

* Local color transformation analysis for sudden illumination change detection

* Local color vector binary pattern for face recognition

* Local Color Vector Binary Patterns From Multichannel Face Images for Face Recognition

* Local complexity adaptable trajectory partitioning via minimum message length

* Local Computation of Shape

* Local concept-based medical image retrieval with correlation-enhanced similarity matching based on global analysis

* Local cone-beam tomography image reconstruction on chords

* Local configurations in discrete combinatorial surfaces

* Local Consistent Alignment for 3D modeling with an RGB-D camera

* Local consistent hierarchical Hough Match for image re-ranking

* Local Constraint Integration in a Connectionist Model of Stereo Vision

* Local Context in Matching Edges for Stereo Vision

* Local context in non-linear deformation models for handwritten character recognition

* Local Context Priors for Object Proposal Generation

* Local contour descriptors around scale-invariant keypoints

* Local contrast enhancement and adaptive feature extraction for illumination-invariant face recognition

* Local Contrast Method for Small Infrared Target Detection, A

* Local contrast phase descriptor for fingerprint liveness detection

* Local Control of Bias and Tension in Beta-Splines

* Local convergence of the fuzzy c-Means algorithms

* local convex method for rank-sparsity factorization, A

* Local Convolutional Features with Unsupervised Training for Image Retrieval

* Local Coregistration Adjustment for Anomalous Change Detection

* Local Correlation Measures for Motion Analysis: A Comparative Study

* Local Correlation Tracking and the Magnetic Induction Equation

* Local correlations, information redundancy, and sufficient pixel depth in natural images

* Local Correspondence for Detecting Random Forgeries

* Local Cosine Bases in Two Dimensions

* Local cosine transform-A method for the reduction of the blocking effect in JPEG

* Local Covariance Filtering for Color Images

* Local criteria: a unified approach to local adaptive linear and rank filters for image restoration and enhancement

* Local cross-modality image alignment using unsupervised learning

* Local Decomposition of Gray-Scale Morphological Templates

* Local Deep Neural Networks for gender recognition

* Local deformation models for monocular 3D shape recovery

* Local Deformations of Digital Curves

* Local demodulation of holograms using the Riesz transform with application to microscopy

* Local density adaptive similarity measurement for spectral clustering

* Local Density Encoding for Robust Stereo Matching

* Local depth image enhancement scheme for view synthesis

* Local Derivative Pattern Versus Local Binary Pattern: Face Recognition with High-Order Local Pattern Descriptor

* Local descriptions for human action recognition from 3D reconstruction data

* local descriptor based on Laplacian pyramid coding for action recognition, A

* Local descriptor based on texture of projections

* local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences, A

* local descriptor for finding corresponding points in vector fields, A

* Local descriptors and similarity measures for frontal face recognition: A comparative analysis

* Local Descriptors Encoded by Fisher Vectors for Person Re-identification

* Local Descriptors for Document Layout Analysis

* Local Descriptors for Spatio-temporal Recognition

* Local descriptors in application to the aging problem in face recognition

* Local descriptors matching for 3D face recognition

* Local detection of occlusion boundaries in video

* Local Determination of a Moving Contrast Edge

* Local Diagonal Extrema Pattern: A New and Efficient Feature Descriptor for CT Image Retrieval

* Local Difference Binary for Ultrafast and Distinctive Feature Description

* Local Difference Probability (LDP)-Based Environment Adaptive Algorithm for Unmanned Ground Vehicle

* Local dip transformation for fast seismic horizon reconstruction

* Local directional mask maximum edge patterns for image retrieval and face recognition

* Local Directional Number Pattern for Face Analysis: Face and Expression Recognition

* Local Directional Pattern (LDP): A Robust Image Descriptor for Object Recognition

* Local Directional Pattern Variance (LDPv) Based Face Descriptor for Human Facial Expression Recognition, A

* Local Directional Texture Pattern image descriptor

* Local Discriminant Analysis

* Local Discriminant Bases and Their Applications

* Local Discriminant Embedding and Its Variants

* Local Discriminant Embedding with Tensor Representation

* Local discriminative distance metrics ensemble learning

* Local discriminative learning for pattern recognition

* Local Discriminative Model for Background Subtraction, A

* Local Disparity Estimation With Three-Moded Cross Census and Advanced Support Weight

* Local Dissimilarity Measures of Frames in Visual Substitution System for Blind People

* Local Distance Comparison for Multiple-shot People Re-identification

* Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation

* Local Distances for Distance Transformations in Two and Three Dimensions

* Local Dominant Orientation Based Mutual Information for Multisensor Template Matching

* Local Edge-Preserving Multiscale Decomposition for High Dynamic Range Image Tone Mapping

* Local Edge Matching for Seamless Adjacent Spatial Datasets with Sequence Alignment

* Local elastic matching and pattern recognition in MR mammography

* Local Empirical Templates and Density Ratios for People Counting

* Local energy-based multimodal medical image fusion in curvelet domain

* Local energy and pre-envelope

* Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds

* Local energy, the pre-envelope, and filter resolution

* Local enhancement of compressed images

* Local Ensemble Kernel Learning for Object Category Recognition

* Local Entropies for Kernel Selection and Outlier Detection in Functional Data

* Local entropy-based transition region extraction and thresholding

* Local Estimation of High Velocity Optical Flow with Correlation Image Sensor

* Local Estimation of the Uniform Error Threshold

* local evaluation of vectorized documents by means of polygon assignments and matching, A

* Local Evidence Aggregation for Regression-Based Facial Point Detection

* Local Expert Forest of Score Fusion for Video Event Classification

* Local extrema based Digital Dropout detection in degraded archived media

* Local facial asymmetry for expression classification

* Local feature aggregation for blind image quality assessment

* Local feature analysis using a sinusoidal signal model derived from higher-order Riesz transforms

* Local Feature Based 3D Face Recognition

* Local Feature Based Breast Tissue Appearance Modelling for Mammographic Risk Assessment

* Local Feature Based Multiple Object Instance Identification Using Scale and Rotation Invariant Implicit Shape Model

* Local Feature Based Online Mode Detection with Recurrent Neural Networks

* Local Feature Based Person Reidentification in Infrared Image Sequences

* Local Feature Based Robust Image Retrieval Algorithm, A

* Local Feature Based Unsupervised Alignment of Object Class Images

* Local Feature Binary Coding for Approximate Nearest Neighbor Search

* Local Feature Detector Using 3-Point Matching and Dynamic-Programming

* Local Feature Discriminant Projection

* Local feature embedding for supervised image classification

* Local feature extraction and matching on range images: 2.5D SIFT

* Local Feature Extraction for Image Super-Resolution

* Local feature extraction for iris recognition with automatic scale selection

* Local feature extraction for video copy detection in a database

* Local Feature Extraction in Fingerprints by Complex Filtering

* Local Feature Extraction in Log-Polar Images

* Local feature fitting active contour for segmenting vessels in angiograms

* Local Feature Hashing for face recognition

* Local Feature Integration Method Using Phase Congruency for Palm Print Authentication

* Local feature learning for face recognition under varying poses

* Local Feature Matching For Face Recognition

* Local Feature Method for the Detection of Flaws in Automated X-Ray Inspection of Castings, A

* Local Feature Selection for Data Classification

* Local feature selection for efficient binary descriptor coding

* Local Feature Trajectories for Efficient Event-Based Indexing of Video Sequences

* Local Feature View Clustering for 3D Object Recognition

* Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study

* Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study

* Local features and sparse representation for face recognition with partial occlusions

* Local features are not lonely: Laplacian sparse coding for image classification

* Local Features Based Facial Expression Recognition with Face Registration Errors

* Local features by intensity increasing tendency for face recognition

* Local Features for Enhancement and Minutiae Extraction in Fingerprints

* Local Features for Forensic Signature Verification

* Local Features for Object Class Recognition

* Local Features of Smooth Shapes: Ridges and Courses

* Local Features, All Grown Up

* Local Feedback-Based Mainstream Traffic Flow Control on Motorways Using Variable Speed Limits

* Local Fisher Discriminant Analysis for Pedestrian Re-identification

* Local Fisher Discriminant Component Hashing for Fast Nearest Neighbor Classification

* Local Fisher Embedding

* Local Fog Detection Based on Saturation and RGB-Correlation

* Local Fourier phase and disparity estimates: An analytical study

* Local fractal and multifractal features for volumic texture characterization

* Local fractal dimension and binary patterns in texture recognition

* Local frequency descriptor for low-resolution face recognition

* Local Frequency Estimation Based on the Wigner Distribution

* Local Frequency Features for Texture Classification

* Local frequency representations for robust multimodal image registration

* Local fuzzy PCA based GMM with dimension reduction on speaker identification

* Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition

* Local Gabor Binary Pattern Whitened PCA: A Novel Approach for Face Recognition from Single Image Per Person

* Local Gabor Binary Patterns Based On Mutual Information For Face Recognition

* Local Gabor phase difference pattern for face recognition

* Local Gabor Phase Quantization Scheme for Robust Leaf Classification

* Local Gaussian Processes for Pose Recognition from Noisy Inputs

* Local Generic Representation for Face Recognition with Single Sample per Person

* Local geometric consistency constraint for image retrieval

* Local Goemetrical Feature With Spatial Context For Shape-Based 3d Model Retrieval

* Local gradient-based illumination invariant face recognition using local phase quantisation and multi-resolution local binary pattern fusion

* Local Gradient Increasing Pattern (LGIP) for Facial Representation and Gender Recognition

* Local gradient increasing pattern for facial expression recognition

* Local Gradient Order Pattern for Face Representation and Recognition

* Local Gradient, Global Matching, Piecewise-Smooth Optical Flow

* Local Graph Matching for Face Recognition

* Local Graph Matching for Object Category Recognition

* Local Grayvalue Invariants for Image Retrieval

* Local grouping for optical flow

* Local Harmonic B_z Algorithm With Domain Decomposition in MREIT: Computer Simulation Study

* Local high-order regularization on data manifolds

* Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns

* Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis

* Local histogram based classification of SAR images using spatially dependent mixtures

* Local Histogram Based Segmentation Using the Wasserstein Distance

* Local histogram specification for face recognition under varying lighting conditions

* Local histogram specification using learned histograms for face recognition

* Local Hull-Based Surface Construction of Volumetric Data From Silhouettes

* Local Hybrid Coding for Image Classification

* Local Hypersphere Coding Based on Edges between Visual Words

* Local identification and removal of scatter artifacts based on the temporal information in dynamic SPECT images

* Local Illumination Influence on Vegetation Indices and Plant Area Index (PAI) Relationships

* Local Image Continuity Measure and its Application

* Local image descriptor based on spectral embedding

* Local Image Descriptor Robust to Illumination Changes, A

* Local Image Descriptors Using Supervised Kernel ICA

* Local image feature matching for object recognition

* Local Image Feature Matching Improvements for Omnidirectional Camera Systems

* Local Image Features for Shoeprint Image Retrieval

* Local Image Features Resulting from 3-Dimensional Geometric Features, Illumination, and Movement: I

* Local Image Features Resulting From 3-Dimensional Geometric Features, Illumination, And Movement: II

* Local Image Reconstruction and Subpixel Restoration Algorithms

* Local image region description using orthogonal symmetric local ternary pattern

* Local Image Registration by Adaptive Filtering

* Local Image Segmentation With Geometric Filters

* Local image statistics: Maximum-entropy constructions and perceptual salience

* Local image tagging via graph regularized joint group sparsity

* Local image transformation: An application in biological electron microscopy

* Local information-based fast approximate spectral clustering

* local information-based feature-selection algorithm for data regression, A

* Local Initiation Method for Multiple Object Association in Surveillance Environment with Multiple Cameras

* Local integrity constraints for structure detection and segmentation in high-resolution earth observation images

* Local intensity compensation using sparse representation

* Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Cross-Correlation Coefficient

* Local Intensity Order Pattern for feature description

* Local intensity variation analysis for iris recognition

* Local inter-session variability modelling for object classification

* Local Interpolation in Multiresolution Decomposition of Images

* Local Intrinsic Dimensionality Based Features for Clustering

* Local Invariant Feature Detectors: A Survey

* Local Invariants and Local Constraints for Face Recognition

* Local invariants and twist vectors in computer-aided geometric design

* Local Invariants for Recognition

* Local inverse tone curve learning for high dynamic range image scalable compression

* Local isomorphism to solve the pre-image problem in kernel methods

* Local iterative improvement of fractal image codes

* Local Jet Based Similarity for NL-Means Filtering

* Local joint entropy based non-rigid multimodality image registration

* Local Label Descriptor for Example Based Semantic Image Labeling

* Local Label Probability Propagation for Hyperspectral Image Classification

* Local Land Use Competition Cellular Automata Model and Its Application, A

* Local Laplacian Detail Learning For Face Aging Manipulation

* Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

* Local Layering for Joint Motion Estimation and Occlusion Detection

* Local Learned Dictionaries Optimized to Edge Orientation for Inverse Halftoning

* Local Learning Approach for Clustering, A

* Local Line Derivative Pattern for face recognition

* Local line directional pattern for palmprint recognition

* Local Linear Approximation for Kernel Methods: The Railway Kernel

* Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging

* Local linear Laplacian eigenmaps: A direct extension of LLE

* local linear level set method for the binarization of degraded historical document images, A

* Local linear LUT method for spatial colour-correction algorithm speed-up

* Local Linear Regression (LLR) for Pose Invariant Face Recognition

* Local Linear Transforms for Texture Measurements

* Local Lines: A linear time line detector

* Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications

* Local manifold distance based on neighborhood graph reordering

* Local Manifold Learning-Based k-Nearest-Neighbor for Hyperspectral Image Classification

* Local Manifold Matching for Face Recognition

* Local manipulation of image layers using standard image processing primitives

* Local MAP estimation for quality improvement of compressed color images

* Local mapping for multispectral image visualization

* Local matching Gabor entropy weighted face recognition

* Local Matching of Surfaces Using a Boundary-Centered Radial Decomposition

* Local matting based on sample-pair propagation and iterative refinement

* Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kernel Function

* Local maximal margin discriminant embedding for face recognition

* local mean-based nonparametric classifier, A

* Local mean spatio-temporal feature for depth image-based speed-up action recognition

* Local Median and Other Window Operations on SIMD Computers, The

* Local Method for Contour Matching and Its Parallel Implementation, A

* Local Method for Curved Edges and Corners

* Local Metric Learning for Exemplar-Based Object Detection

* Local Metric Learning in 2D/3D Deformable Registration With Application in the Abdomen

* Local Metric Learning on Manifolds with Application to Query-Based Operations

* Local minima free Parameterized Appearance Models

* Local Mode Filtering

* local modified Chan-Vese model for segmenting inhomogeneous multiphase images, A

* Local motion-adaptive interpolation technique based on block matching algorithms

* Local Motion Analysis and Its Application in Video based Swimming Style Recognition

* Local motion analysis in 4D lung CT using fast groupwise registration

* Local Motion Estimation and Resolution Enhancement of Video Sequences

* Local Motion Estimation with the Dynamic Pyramid

* Local Multi-Grouped Binary Descriptor With Ring-Based Pooling Configuration and Optimization

* Local multi-modal image matching based on self-similarity

* Local multi-robot coordination and experiments

* Local Multichannel Deconvolution

* Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network

* Local multiple orientations estimation using k-medoids

* Local multiscale frequency and bandwidth estimation

* Local Mutual Information for Dissimilarity-Based Image Segmentation

* Local N-Ary Pattern and Its Extension for Texture Classification

* Local Naive Bayes Nearest Neighbor for image classification

* Local neighbourhood-based robust colour occurrence descriptor for colour image retrieval

* Local Noise Weighted Filtering for Emphysema Scoring of Low-Dose CT Images

* Local Non-planarity of Three Dimensional Surfaces for an Invertible Reconstruction: k-Cuspal Cells

* Local norm features based on ridgelets transform

* Local Normal-Based Region Term for Active Contours, A

* Local normal binary patterns for 3D facial action unit detection

* Local normalized linear summation kernel for fast and robust recognition

* Local Novelty Detection in Multi-class Recognition Problems

* Local Occlusion Detection under Deformations Using Topological Invariants

* Local Operations on Labelled Dots Patterns

* Local operator estimation for single-image super-resolution

* Local Operators to Detect Regions of Interest

* Local Oppugnant Color Texture Pattern for image retrieval system

* Local Optical Operators for Subpixel Scene Analysis

* Local Optimization Based Segmentation of Spatially-Recurring, Multi-Region Objects With Part Configuration Constraints

* Local or Global 3D Face and Facial Feature Tracker

* Local or Global Minima: Flexible Dual-Front Active Contours

* Local ordered grey levels as an aid to corner detection

* Local Orientation Analysis in Images by Means of the Hermite Transform

* Local Orientation Coherency Weighted Color Gradient for Edge Detection, A

* Local Orientation Estimation in Corrupted Images

* Local Orientation Extraction for Wordspotting in Syriac Manuscripts

* Local Orientation Patterns for 3D Surface Texture Analysis of Normal Maps: Application to Facial Skin Condition Classification

* Local Orientation Smoothness Prior for Vascular Segmentation of Angiography

* Local Oriented Statistics Information Booster (LOSIB) for Texture Classification

* Local orthogonal bases

* Local Outlier Detection Based on Kernel Regression

* Local Parallel Computation of Stochastic Completion Fields

* Local part model for action recognition

* Local Patch Blind Spectral Watermarking Method for 3D Graphics

* Local Path Planning for Off-Road Autonomous Driving With Avoidance of Static Obstacles

* Local patterns constrained image histograms for image retrieval

* Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography

* Local phase quantization descriptor for improving shape retrieval/classification

* Local phase quantization descriptors for blur robust and illumination invariant recognition of color textures

* Local phase quantization for blur-insensitive image analysis

* Local Phase Tensor Features for 3-D Ultrasound to Statistical Shape+Pose Spine Model Registration

* Local picture languages

* Local Polar DCT Features for Image Description

* Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images

* Local polynomial space-time descriptors for action classification

* Local positioning apparatus, and a method therefor

* Local Positioning System of a Mobile Robot: A Practical Perspective

* Local Potential Well Space Embedding

* Local prediction based adaptive scanning for JPEG and H.264/AVC intra coding

* Local prediction of non-linear time series using support vector regression

* Local primitive code mining for fast and accurate face recognition

* Local Primitive Pattern for the Classification of SAR Images

* Local probabilistic descriptors for image categorisation

* Local Probabilistic Prior-Based Active Contour Model for Brain MR Image Segmentation, A

* Local probability based safe region detection for autonomous driving

* Local Projective and Affine Invariants

* Local Projective Shape of Smooth Surfaces and Their Outlines, The

* Local Properties of Binary Image in Two Dimensions

* Local Prototype Space-based Band Selection for Hyperspectral Subpixel Analysis

* Local Pyramidal Descriptors for Image Recognition

* Local Quality Method for the Iris Image Pattern

* Local Quantitative Measurements for Cardiac Motion Analysis

* Local Quaternion PHT Based Robust Color Image Watermarking Algorithm

* Local R3-Subdivision Algorithm preserving Sharp Features, A

* Local Rademacher Complexity for Multi-Label Learning

* Local radiometric correction of digital aerial photographs for multi-source forest inventory

* Local Ramp Metering in the Presence of a Distant Downstream Bottleneck: Theoretical Analysis and Simulation Study

* Local Rank Differences Image Feature Implemented on GPU

* Local rank transform: Properties and applications

* local Rayleigh model with spatial scale selection for ultrasound image segmentation, A

* Local Readjustment for High-Resolution 3D Reconstruction

* Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation

* Local Reconstruction Error Alignment: A Fast Unsupervised Feature Selection Algorithm for Radar Target Clustering

* Local recurrence based performance prediction and prognostics in the nonlinear and nonstationary systems

* Local reference lines for handwritten phrase recognition

* Local Refinement for Stereo Regularization

* Local Region-based Approach to Gender Classification From Face Images, A

* local region based approach to lip tracking, A

* Local Region Descriptors for Active Contours Evolution

* Local registration and deformation of a road cartographic database on a SPOT satellite image

* Local Regression Based Statistical Model Fitting

* Local Regression Learning via Forest Classification for 2D/3D Deformable Registration

* Local Regression Model for Automatic Face Sketch Generation

* Local regularity-based image denoising

* Local Regularity-Driven City-Scale Facade Detection from Aerial Images

* Local Regularization for Multiclass Classification Facing Significant Intraclass Variations

* Local Regularized Least-Square Dimensionality Reduction

* Local Reinforcement Learning for Object Recognition

* Local Relational String for Textures Classification

* Local relative location error descriptor-based fingerprint minutiae matching

* Local relative transformation with application to isometric embedding

* local relaxation method for optical flow estimation, A

* Local Representation of 3D Free-Form Contours for Pose Estimation

* Local Representations for Multi-object Recognition

* Local Reproducible Smoothing without Shrinkage

* Local Response Context Applied to Pedestrian Detection

* Local Rotation Invariant Patch Descriptors for 3D Vector Fields

* Local Rotational Symmetries

* Local Scale Control for Edge Detection and Blur Estimation

* Local Scale Controlled Anisotropic Diffusion with Local Noise Estimate for Image Smoothing and Edge Detection

* Local Scale Measure for Remote Sensing Images

* Local Scale Selection for Gaussian Based Description Techniques

* Local scene flow by tracking in intensity and depth

* Local search-embedded genetic algorithms for feature selection

* Local Search Algorithms for Geometric Object Recognition: Finding the Optimal Correspondence and Pose

* Local Search as a Tool for Horizon Line Matching

* Local Segmentation for Pedestrian Tracking in Dense Crowds

* Local selected features of dual-tree complex wavelet transform for single sample face recognition

* Local self-similarity-based registration of human ROIs in pairs of stereo thermal-visible videos

* Local self-similarity as a dense stereo correspondence measure for themal-visible video registration

* Local self-similarity frequency descriptor for multispectral feature matching

* Local Semantic Classification of Natural Image Based on Spatial Context

* Local sensing with global recovery

* Local Shading Analysis

* Local Shape Approximation from Shading

* Local shape blending using coherent weighted regions

* Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images

* local shape descriptor for mobile linedrawing retrieval, A

* Local shape descriptor selection for object recognition in range data

* Local Shape Descriptors, A Survey And Evaluation

* Local shape estimation from a single keypoint

* Local shape features for object recognition

* Local Shape from Mirror Reflections

* Local Shape from Specularity

* Local Shape Modelling Using Warplets

* Local shape recognition for mobile applications

* Local Shape Registration Using Boundary-Constrained Match of Skeletons

* Local Shape Representation in 3D: From Weighted Spherical Harmonics to Spherical Wavelet

* Local Signal Equalization for Correspondence Matching

* Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person

* Local similarity measures for lesion registration in DCE-MRI of the breast

* Local Single-Patch Features for Pose Estimation Using the Log-Polar Transform

* Local Skew Angle Estimation from Background Space in Text Regions

* Local smoothing for manifold learning

* Local Smoothness Enforced Cost Volume Regularization for Fast Stereo Correspondence

* Local Smoothness in terms of Variance: the Adaptive Gaussian Filter

* Local Sparse Discriminant Analysis for Robust Face Recognition

* Local Sparse Representation Based Classification

* Local Sparse Structure Denoising for Low-Light-Level Image

* Local Spatial Co-occurrence for Background Subtraction via Adaptive Binned Kernel Estimation

* Local Spatial Frequence Analysis for Computer Vision

* local spatiocolor analysis applied to pattern segmentation, A

* Local spatiotemporal features for dynamic texture synthesis

* Local Spectra Features Extraction Based-on 2d Pseudo-wigner Distribution for Texture Analysis

* Local Spectral Component Decomposition for Multi-Channel Image Denoising

* local spectral distribution approach to face recognition, A

* local spectral inversion of a linearized TV model for denoising and deblurring, A

* Local spectral unmixing for target detection

* Local Statistic Based Region Segmentation with Automatic Scale Selection

* Local Steerable Phase (LSP) Feature for Face Representation and Recognition

* Local Step Edge Estimation: A New Algorithm, Statistical Model and Performance Evaluation

* Local stereo matching using geodesic support weights

* Local stereo matching with 3D adaptive cost aggregation for slanted surface modeling and sub-pixel accuracy

* Local stereo matching with adaptive support-weight, rank transform and disparity calibration

* Local stereo matching with canny segmentation and reliable seed propagation

* Local Stereo Matching with Edge-Based Cost Aggregation and Occlusion Handling

* Local Stereo Matching with Improved Matching Cost and Disparity Refinement

* Local Stereo Matching with Segmentation-based Outlier Rejection

* Local Stereoscopic Depth Estimation Using Ocular Stripe Maps

* Local Stereoscopic Depth Estimation

* Local stereovision matching through the ADALINE neural network

* Local Straightness: A Contrast Independent Statistical Edge Measure for Color and Gray Level Images

* Local Structural Association for Retrieval and Recognition of Signature Images

* Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition

* Local Structure Analysis by Isotropic Hilbert Transforms

* Local Structure and Direction-Aware Optimization Approach for Three-Dimensional Tree Modeling, A

* Local structure based sparse representation for face recognition with single sample per person

* Local structure based supervised feature extraction

* Local Structure Detection with Orientation-invariant Radial Configuration

* Local Structure in Images from Entropy Production

* Local Structure Matching Approach for Large Image Database Retrieval, A

* Local Structure of Image Discontinuities in One Dimension, The

* Local Structure of Image Intensity Discontinuities, The

* Local Structure of Movement Parallax of the Plane

* Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation

* Local Subpixel Coregistration of Interferometric Synthetic Aperture Radar Images Based on Fractal Models

* Local Subspace Classifier with Gabor Filter Decomposition for Image Classification

* Local Subspace Classifier with Transformation Invariance for Appearance-Based Character Recognition in Natural Images

* Local Subspace Collaborative Tracking

* Local subspace method for pattern recognition

* Local Surface Interpolation with Bezier Patches

* Local Surface Shape Estimation of 3-D Textured Surfaces Using Gaussian Markov Random Fields and Stereo

* Local Symmetries of Digital Contours from Their Chain Codes

* Local Symmetries of Shapes in Arbitrary Dimension

* Local Symmetry Detection in Natural Images Using a Particle Filtering Approach

* Local Symmetry Features in Image Processing

* Local Symmetry Modeling in Multi-Dimensional Images

* Local tangent space based manifold entropy for image retrieval

* Local tensor descriptor from micro-deformation analysis

* Local Ternary Patterns and Maximum Bipartite Matching for Face Recognition

* Local Tests for Consistency of Support Hyperplane Data

* Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval

* Local texture based optical flow for complex brightness variations

* Local texture synthesis: A static texture coding algorithm fully compatible with HEVC

* Local Three-Dimensional Shape-Preserving Smoothing without Shrinkage

* Local Tomography and the Motion Estimation Problem

* Local tomography in fan-beam geometry using wavelets

* Local Topographic Shape Patterns for Texture Description

* Local Topological Parameters in a Tetrahedral Representation

* Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis

* Local Transform Features and Hybridization for Accurate Face and Human Detection

* Local transforms for biomedical image analysis

* Local Trinary Patterns for human action recognition

* Local Triplet Pattern for Content-Based Image Retrieval

* Local two-channel critically sampled filter-banks on graphs

* Local Two-Dimensional Canonical Correlation Analysis

* Local value difference metric

* Local Variance-Based Bilateral Filtering for Artifact-Free Detail- and Edge-Preserving Smoothing, A

* Local Variance-Controlled Forward-and-Backward Diffusion for Image Enhancement and Noise Reduction

* Local Variance Driven Self-Organization for Unsupervised Clustering

* Local Variation as a Statistical Hypothesis Test

* Local vector pattern in high-order derivative space for face recognition

* Local Vector Tomography by Use of Wavelets

* Local Vegetation Trends in the Sahel of Mali and Senegal Using Long Time Series FAPAR Satellite Products and Field Measurement (1982-2010)

* Local velocity-adapted motion events for spatio-temporal recognition

* Local versus Global Decisions in Image Recognition

* Local versus global features for content-based image retrieval

* Local versus Global in Quasi-Conformal Mapping for Medical Imaging

* Local versus Global Segmentation for Facial Expression Recognition

* Local Versus Nonlocal Computation of Length of Digitized-Curves

* Local visual features extraction from texture+depth content based on depth image analysis

* Local Visual Operator Which Recognizes Edges and Lines, A

* Local visual patch for 3d shape retrieval

* Local Visual Primitives (LVP) for Face Modelling and Recognition

* Local Volumetric Hybrid-Map-Based Simultaneous Localization and Mapping With Moving Object Tracking

* Local Wall-Motion Classification in Echocardiograms Using Shape Models and Orthomax Rotations

* Local water diffusion phenomenon clustering from high angular resolution diffusion imaging (HARDI)

* Local wavelength estimation for magnetic resonance elastography

* Local Wavelet Features for Statistical Object Classification and Localization

* Local Wavelet Pattern: A New Feature Descriptor for Image Retrieval in Medical CT Databases

* Local Wavelet Transform Implementation Versus an Optimal Row-column Algorithm for the 2-D Multilevel Decomposition, A

* Local Wavelets Decomposition for 3-D Surfaces

* Local Web Advertisement Through Dynamic Active Proxy

* Local Weight Selection for Two-Dimensional Phase Unwrapping

* Local weighted Gaussian curvature for image processing

* Local within-class accuracies for weighting individual outputs in multiple classifier systems

* Local Zernike Moments: A new representation for face recognition

* Local Zerotree Coding

* Local, Global, and Multilevel Stereo Matching

* Local, Polynomial G1 PN Quads

* Local/global scene flow estimation

* Locale-Based Object Search Under Illumination Change Using Chromaticity Voting And Elastic Correlation

* Locale-based Visual Object Retrieval Under Illumination Change

* Locale Group Based Line Segmentation Approach for Non Uniform Skewed and Curved Arabic Handwritings, A

* Localisation and augmented reality for mobile applications in Cultural Heritage

* Localisation and Tracking of an Airport's Approach Lighting System

* Localisation of Image Features Using Measures of Rank Distribution

* Localisation of multiple faults in motorcycles based on the wavelet packet analysis of the produced sounds

* Localisation of the optic disc by means of GA-optimised Topological Active Nets

* Localised Mixture Models in Region-Based Tracking

* Localised rank-ordered differences vector filter for suppression of high-density impulse noise in colour images

* Localising Surface Defects in Random Colour Textures Using Multiscale Texem Analysis in Image Eigenchannels

* locality-aware peer-to-peer approach for geospatial web services discovery, A

* Locality-Constrained Active Appearance Model

* Locality-constrained and spatially regularized coding for scene categorization

* Locality-Constrained Collaborative Sparse Approximation for Multiple-Shot Person Re-identification

* Locality-constrained discriminative learning and coding

* Locality-Constrained Group Sparse Representation for Robust Face Recognition

* Locality-constrained Linear Coding for image classification

* Locality-constrained Low Rank Coding for face recognition

* Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification

* Locality-Constrained Sparse Auto-Encoder for Image Classification

* Locality-Constrained Sparse Reconstruction for Trajectory Classification

* Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis

* Locality-Regularized Linear Regression for face recognition

* Locality-sensitive dictionary learning for sparse representation based classification

* Locality-Sensitive Hashing for Chi2 Distance

* Locality-sensitive hashing for region-based large-scale image indexing

* Locality-sensitive kernel sparse representation classification for face recognition

* Locality-sensitive support vector machine by exploring local correlation and global regularization

* Locality and Adjacency Stability Constraints for Morphological Connected Operators

* Locality based discriminative measure for multiple-shot person re-identification

* Locality Constrained Dictionary Learning for Nonlinear Dimensionality Reduction

* Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification

* Locality Constrained Sparse Representation for Cat Recognition

* locality correlation preserving support vector machine, A

* Locality in Generic Instance Search from One Example

* Locality preserving and global discriminant projection with prior information

* Locality preserving CCA with applications to data visualization and pose estimation

* Locality preserving constraints for super-resolution with neighbor embedding

* Locality preserving discriminative dictionary learning

* Locality preserving hashing

* Locality preserving multi-nominal logistic regression

* Locality pursuit embedding

* Locality Regularization Embedding for face verification

* Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

* Locality sensitive dictionary learning for image classification

* Locality sensitive discriminative dictionary learning

* Locality Sensitive Hashing Using GMM

* Locality sensitive hashing: A comparison of hash function types and querying mechanisms

* Locality Sensitive Low-Rank Model for Image Tag Completion, A

* Locality Sensitive Pseudo-Code for Document Images

* Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing

* Localization-Based Sensor Validation Using the Kullback-Leibler Divergence

* Localization accuracy of interest point detectors with different scale space representations

* Localization accuracy of region detectors

* Localization algorithms for multilateration (MLAT) systems in airport surface surveillance

* Localization and characterization of simple defects in finite-sized photonic crystals

* Localization and classification based on projections

* Localization and classification of partially overlapped objects using self-organizing trees

* Localization and extraction of the four clock-digits using the knowledge of the digital video clock

* Localization and Generation of Building Models

* Localization and Homing Using Combinations of Model Views

* Localization and Mapping for Autonomous Navigation in Outdoor Terrains: A Stereo Vision Approach

* Localization and Noise in Edge Detection

* Localization and Positioning Using Combinations of Model Views

* Localization and Recognition of Dynamic Hand Gestures Based on Hierarchy of Manifold Classifiers

* Localization and Security Enhancement of Block-based Image Authentication

* Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation

* Localization and Segmentation of A 2D High Capacity Color Barcode

* Localization and segmentation of aortic endografts using marker detection

* Localization and tracking in known large environments using portable real-time 3D sensors

* Localization and Trajectory Reconstruction in Surveillance Cameras with Nonoverlapping Views

* Localization Based on Building Recognition

* Localization based on DEM matching using multiple aerial image pairs

* Localization Based on the Gradient Information for Dem matching

* Localization Framework under Non-rigid Deformation for Robotic Surgery, A

* Localization in Urban Environments: Monocular Vision Compared to a Differential GPS Sensor

* Localization in Wireless Sensor Networks

* Localization of 2D Cameras in a Known Environment Using Direct 2D-3D Registration

* Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization

* Localization of abnormal EEG sources using blind source separation partially constrained by the locations of known sources

* Localization of acupoints on a head based on a 3D virtual body

* Localization of ahead vehicles with on-board stereo cameras

* Localization of an unmanned ground vehicle using 3D registration of laser range data and DSM

* Localization of cardiac cavities using hierarchically search in 2D grayscale ultrasound images

* Localization of cellular structures

* Localization of Circular Objects

* Localization of Colored Objects

* Localization of corresponding points in fingerprints by complex filtering

* Localization of detected objects in multi-camera network

* Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images

* Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis

* Localization of Dominant Points for Image-Coding

* Localization of Dominant Points for Object Recognition: A Scale-Space Approach

* Localization of Drosophila embryos using connected components in scale space

* Localization of epileptogenic zones in F-18 FDG brain PET of patients with temporal lobe epilepsy using artificial neural network

* Localization of fiducial skin markers in MR images using correlation pattern recognition for PET/MRI nonrigid breast image registration

* Localization of intravascular devices with paramagnetic markers in MR images

* Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods

* Localization of mobile laser scanner using classical mechanics

* Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning

* Localization of mountain glacier termini in Landsat multi-spectral images

* Localization of Multi-pose and Occluded Facial Features via Sparse Shape Representation

* Localization of noncircular iris boundaries using morphology and arched Hough transform

* Localization of Objects from Range Data

* Localization of Objects in Electric Distribution Systems by Using Segmentation and 3D Template Matching with M-estimators

* Localization of Objects in Noisy Scenes for Robotics Applications Using Wigner Distribution

* Localization of Objects with Circular Symmetry in a Noisy Image Using Wavelet Transforms and Adapted Correlation

* Localization of Piled Boxes by Means of the Hough Transform

* Localization of saliency through iterative voting

* Localization of Shapes Using Statistical Models and Stochastic Optimization

* Localization of sparse image tampering via random projections

* Localization of spherical fruits for robotic harvesting

* Localization of static target in WSNs with least-squares and extended Kalman filter

* Localization of tampering in contrast and brightness adjusted images using distributed source coding and expectation maximization

* Localization of Taps on Solid Surfaces for Human-Computer Touch Interfaces

* Localization of the Interfaces of a Slab Hidden Behind a Wall

* Localization Properties of Direct Corner Detectors

* Localization Scale Selection for Scale-Space Segmentation

* Localization Using Combinations of Model Views

* Localization using RGB-D cameras orthoimages

* Localization, extraction and recognition of text in Telugu document images

* Localization, GPS Assisted, GNSS Assisted, Guidance System Assisted, Other Annotation

* Localization, Stability, and Resolution of Topological Derivative Based Imaging Functionals in Elasticity

* Localization, Urban Regions, City Models, Building Models

* Localization, Where is the robot, Where is the camera

* localization/verification scheme for finding text in images and video frames based on contrast independent features and machine learning methods, A

* Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach

* Localized 2-D filter-based linear coherent noise attenuation

* Localized adaptive learning of Mixture of Gaussians models for background extraction

* Localized algorithms for multiple kernel learning

* Localized and computationally efficient approach to shift-variant image deblurring

* Localized anomaly detection via hierarchical integrated activity discovery

* Localized Approach to Abandoned Luggage Detection with Foreground-Mask Sampling, A

* Localized Compression of Video Conferencing

* Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion, The

* Localized content-based image retrieval through evidence region identification

* Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning

* Localized Content-Based Image Retrieval

* Localized content based image retrieval by multiple instance active learning

* Localized Deep Extreme Learning Machines for Efficient RGB-D Object Recognition

* Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints

* Localized Distortion Estimation from Already Compressed JPEG2000 Images

* Localized document image change detection

* Localized Earth Mover's Distance for Robust Histogram Comparison

* Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography

* Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation

* Localized feature selection for clustering

* Localized feature selection for Gaussian mixtures using variational learning

* Localized forgery detection in hyperspectral document images

* Localized fusion of Shape and Appearance features for 3d Human Pose Estimation

* Localized Graph-Based Feature Selection for Clustering

* Localized Hierarchical Graph Cuts

* Localized Image Blur Removal through Non-parametric Kernel Estimation

* Localized Image Matte Evaluation by Gradient Correlation

* Localized image watermarking based on feature points of scale-space representation

* Localized Intersections Computation for Solid Modeling with Straight Homogeneous Generalized Cylinders

* Localized Iris Image Quality Using 2-D Wavelets

* Localized matching using Earth Mover's Distance towards discovery of common patterns from small image samples

* Localized Measurement of Image Fractal Dimension Using Gabor Filters

* Localized Measurement of Optical Attenuation Coefficients of Atherosclerotic Plaque Constituents by Quantitative Optical Coherence Tomography

* Localized MKL Method for Brain Classification with Known Intra-class Variability, A

* Localized Multifeature Metric Learning for Image-Set-Based Face Recognition

* Localized Multiple Kernel Learning for Realistic Human Action Recognition in Videos

* Localized Multiple Kernel Regression

* Localized Nonlinear Method for the Contrast Enhancement of Images, A

* Localized Null Space representation for dynamic updating and downdating in image and video databases

* Localized principal component analysis based curve evolution: A divide and conquer approach

* Localized Radon Transform-Based Detection of Linear Features in Noisy Images

* Localized Receptive Fields May Mediate Transformation-Invariant Recognition in the Visual Cortex

* Localized Scene Interpretation from 3D Models, Range, and Optical Data

* Localized Set Operations for Solid Modeling

* Localized statistics for DW-MRI fiber bundle segmentation

* Localized Supervised Metric Learning on Temporal Physiological Data

* Localized support vector machines using Parzen window for incomplete sets of categories

* Localized Verlet Integration Framework for Facial Models

* Localized versus Locality-Preserving Subspace Projections for Face Recognition

* Localized wavelet based computerized tomography

* Localizing a Face in an Image, Face Localization

* Localizing a mobile robot with intrinsic noise

* Localizing a polyhedral object in a robot hand by integrating visual and tactile data

* Localizing actions through sequential 2D video projections

* Localizing activity groups in videos

* Localizing and segmenting text in images and videos

* Localizing blurry and low-resolution text in natural images

* Localizing Discontinuities Using Weak Continuity Constraints

* Localizing Facial Keypoints with Global Descriptor Search, Neighbour Alignment and Locally Linear Models

* Localizing in Unstructured Environments: Dealing with the Errors

* Localizing non-overlapping surveillance cameras under the L-Infinity norm

* Localizing Objects While Learning Their Appearance

* Localizing Objects with Smart Dictionaries

* Localizing Overlapping Parts by Searching the Interpretation Tree

* Localizing Parts of Faces Using a Consensus of Exemplars

* Localizing people in multi-view environment using height map reconstruction in real-time

* Localizing Region-Based Active Contours

* Localizing relevant frames in web videos using topic model and relevance filtering

* Localizing scene texts by fuzzy inference systems and low rank matrix recovery model

* Localizing Text in Scene Images by Boundary Clustering, Stroke Segmentation, and String Fragment Classification

* Localizing Unordered Panoramic Images Using the Levenshtein Distance

* Locally-Adaptive Image Contrast Enhancement without Noise and Ringing Artifacts

* Locally-Constrained Region-Based Methods for DW-MRI Segmentation

* Locally adaptable mathematical morphology using distance transformations

* Locally Adapted Gain Control for Reliable Foreground Detection

* Locally Adapted Spatio-temporal Deformation Model for Dense Motion Estimation in Periodic Cardiac Image Sequences

* locally adaptive algorithm for measuring blocking artifacts in images and videos, A

* Locally adaptive block thresholding method with continuity constraint

* Locally Adaptive Chromatic Restoration Of Digitally Acquired Paintings

* Locally adaptive combining colour and depth for human body contour tracking using level set method

* Locally adaptive conductance in geometry-driven-diffusion filtering of magnetic resonance tomograms

* Locally Adaptive Data Compression Scheme, A

* Locally Adaptive Deblocking Filter for Low Bit Rate Video

* Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging

* Locally Adaptive Intra-Subband Interpolation of Lost Low Frequency Coefficients In Wavelet Coded Images

* Locally adaptive learning for translation-variant MRF image priors

* Locally Adaptive Metric Nearest-Neighbor Classification

* Locally Adaptive Multiscale Contrast Optimization

* Locally Adaptive Non-Separable Interpolation Filter for H.264/AVC

* Locally Adaptive Passive Error Concealment for Wavelet Coded Images

* Locally Adaptive Perceptual Image Coding

* locally adaptive region growing algorithm for vascular segmentation, A

* Locally Adaptive Regularization Based on Anisotropic Diffusion for Deformable Image Registration of Sliding Organs, A

* Locally adaptive regularized super-resolution on video with arbitrary motion

* Locally Adaptive Shearlet Denoising Based on Bayesian MAP Estimate

* Locally Adaptive Speed Functions for Level Sets in Image Segmentation

* Locally adaptive subspace and similarity metric learning for visual data clustering and retrieval

* Locally Adaptive Support-Weight Approach for Visual Correspondence Search

* Locally Adaptive System for the Fusion of Objective Quality Measures, A

* Locally adaptive template sizes for matching repeat images of Earth surface mass movements

* Locally Adaptive Total Variation Regularization

* Locally Adaptive Wavelet-Based Image Denoising using the Gram-Charlier Prior Function

* Locally Adaptive Wavelet-Based Image Interpolation

* Locally adaptive wavelet domain bayesian processor for denoising medical ultrasound images using speckle modelling based on rayleigh distribution

* Locally Adaptive window for Signal Matching, A

* locally adaptive zooming algorithm for digital images, A

* Locally Adjustable Interpolation for Meshes of Arbitrary Topology

* Locally Adjusted Cubic-Spline Capping for Reconstructing Seasonal Trajectories of a Satellite-Derived Surface Parameter

* Locally Adjusted Robust Regression for Human Age Estimation

* Locally affine patch mapping and global refinement for image super-resolution

* Locally Affine Sparse-to-Dense Matching for Motion and Occlusion Estimation

* Locally Aligned Feature Transforms across Views

* Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection

* Locally Competitive Algorithms for Sparse Approximation

* Locally Consistent ToF and Stereo Data Fusion

* Locally constrained diffusion process on locally densified distance spaces with applications to shape retrieval

* locally constrained radial basis function for registration and warping of images, A

* Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image, A

* Locally Constrained Watershed Transform, A

* Locally controlled regularized spatiotemporal anisotropic diffusion

* Locally Deformable B-Bubble Model: An Application to Growth Ring Detection on Fish Otoliths, The

* Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation

* Locally Deformable Statistical Shape Model, A

* Locally Developable Constraint for Document Surface Reconstruction

* Locally discriminative stable model for visual tracking with clustering and principle component analysis

* Locally discriminative topic modeling

* Locally enhancing fractal descriptors by using the non-additive entropy

* Locally focused magnetic resonance imaging

* Locally Gaussian exemplar based texture synthesis

* locally global approach to stereo correspondence, A

* Locally Homogeneous Images as Minimizers of Objective Functions

* Locally Invariant Fractal Features for Statistical Texture Classification

* Locally invariant texture analysis from the topographic map

* Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image

* Locally linear discriminant embedding: An efficient method for face recognition

* Locally linear embedding based example learning for pan-sharpening

* Locally linear embedding based texture synthesis for image prediction and error concealment

* Locally linear embedding methods for inter image coding

* Locally Linear Hashing for Extracting Non-linear Manifolds

* Locally Linear Isometric Parameterization

* Locally linear metric adaptation with application to semi-supervised clustering and image retrieval

* Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification

* Locally linear reconstruction for instance-based learning

* Locally Linear Regression for Pose-Invariant Face Recognition

* Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching, A

* Locally Monotonic Models for Image and Video Processing

* Locally Multidimensional Scaling for Nonlinear Dimensionality Reduction

* Locally nearest neighbor classifiers for pattern classification

* Locally non-rigid registration for mobile HDR photography

* Locally Optimal Detection of Image Watermarks in the Wavelet Domain Using Bessel K Form Distribution

* Locally Optimized Product Quantization for Approximate Nearest Neighbor Search

* Locally Optimized RANSAC

* Locally optimum nonlinearities for DCT watermark detection

* Locally Orderless Registration

* Locally Orderless Tracking

* Locally Oriented Optical Flow Computation

* Locally Parallel Texture Modeling

* Locally Parallel Textures Modeling with Adapted Hilbert Spaces

* Locally Planar Patch Features for Real-Time Structure from Motion

* Locally principal component analysis based on L1-norm maximisation

* Locally Quadratic Model of the Motion Estimation Error Criterion Function and Its Application to Subpixel Interpolations, A

* Locally refinable parametric snakes

* Locally Refined Splines Representation for Geospatial Big Data

* Locally regressive G-optimal design for image retrieval

* Locally rigid globally non-rigid surface registration

* Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis

* locally sensitive method for cluster analysis, A

* Locally Smooth Metric Learning with Application to Image Retrieval

* Locally Smoothed Modified Quadratic Discriminant Function

* Locally Switching Between Cost Functions in Iterative Non-rigid Registration

* Locally time-invariant models of human activities using trajectories on the grassmannian

* Locally Weighted Fixation Density-Based Metric for Assessing the Quality of Visual Saliency Predictions, A

* Located Hidden Random Fields: Learning Discriminative Parts for Object Detection

* Locating Address Blocks and Postcodes in Mail-Piece Images

* Locating an affine/projective invariant identifier patch on an image

* Locating and Correcting Errors in Images

* Locating and Extracting the Eye in Human Face Images

* Locating and Modelling a Flat Symmetric Object from a Single Perspective Image

* Locating and parsing bibliographic references in HTML medical articles

* Locating and recognizing multiple human actions by searching for maximum score subsequences

* Locating and Recognizing Road Vehicles

* Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments

* Locating and Tracking Facial Speech Features

* Locating and Tracking of Human Faces with Neural Networks

* Locating binary features for keypoint recognition using noncooperative games

* Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response

* Locating Book Backs in a Bookrack Image

* Locating Boundaries of Textured Regions

* Locating characters in scene images using frequency features

* Locating Charts from Scanned Document Pages

* Locating Corners in Noisy Curves by Delineating Imperfect Sequences

* Locating Corresponding Regions in Urban Environments

* Locating Cultural Regions in Aerial Imagery using Geometric Cues

* Locating Deciduous Trees

* Locating Destination Address Block in Korean Mail Images

* Locating destination address block on handwritten Korean envelopes

* Locating Edges and Removing Ringing Artifacts in JPEG Images by Frequency-Domain Analysis

* Locating faces using statistical feature detectors

* Locating Facial Features and Pose Estimation Using a 3D Shape Model

* Locating facial features in image sequences using neural networks

* Locating Facial Features Using an Anthropometric Face Model for Determining the Gaze of Faces in Image Sequences

* Locating Facial Features Using SOFM

* Locating Facial Features with an Extended Active Shape Model

* Locating Facial Landmarks Using Probabilistic Random Forest

* Locating facial landmarks with binary map cross-correlations

* Locating Facial Region of a Head-and-Shoulders Color Image

* Locating fast-moving objects in TV-images in the presence of motion blur

* Locating geometric primitives by pruning the parameter space

* Locating head and face boundaries for head-shoulder images

* Locating high-density clusters with noisy queries

* Locating Human Faces in a Cluttered Scene

* Locating Human Faces in Newspaper Photographs

* Locating Human Faces in Photographs

* Locating human faces within images

* Locating Indexing Structures in Engineering Drawing Databases Using Location Hashing

* Locating Large-Scale Craniofacial Feature Points on X-ray Images for Automated Cephalometric Analysis

* Locating moving objects in car-driving sequences

* Locating Multiple Multiscale Electromagnetic Scatterers by a Single Far-Field Measurement

* Locating Neuron Boundaries in Electron Micrograph Images Using Primal Sketch Primitives

* Locating Nose-Tips and Estimating Head Poses in Images by Tensorposes

* Locating Nosetips and Estimating Head Pose in Images by Tensorposes

* Locating Object Boundaries in Textured Environments

* Locating object contours in complex background using improved snakes

* Locating Objects from Their Point Features Using an Optimized Hough-Like Accumulation Technique

* Locating Objects of Varying Shape Using Statistical Feature Detectors

* Locating Objects under Different Conditions: An Example in Aerial Image Understanding

* Locating Objects Using the Hausdorff Distance

* Locating Overlapping Flexible Shapes Using Geometrical Constraints

* Locating People in Images by Optimal Cue Integration

* Locating People in Indoor Scenes for Real Applications

* Locating People in Video from Semantic Descriptions: A New Database and Approach

* Locating Perceptually Salient Points on Planar Curves

* Locating Polyhedral Objects From Edge Point Data

* Locating regions-of-interest for the Mars Rover expedition

* Locating regions in a target image using color matching, luminance pattern matching and hue plane pattern matching

* Locating Salient Facial Features Using Image Invariants

* Locating Salient Object Features

* Locating Straight Line Edge Segments in Outdoor Scenes

* Locating Structures in Aerial Images

* Locating target at high speed using image decimation decomposition processing

* Locating Text in Color Documents

* Locating Text in Complex Color Images

* Locating Text in Images Based on the Smooth Gray-Level Detection

* Locating text in images using matched wavelets

* Locating the eye in human face images using fractal dimensions

* Locating the Human Eye Using Fractal Dimensions

* Locating the optic disk in retinal images via plausible detection and constraint satisfaction

* Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels

* Locating the Ultrasonic Echo Head Wave of Bottom Sediment in Drilling Hole Based on Local SNR

* Locating Thin Lines and Roof Edges by Custom-Built Moments

* Locating Uniform-colored Text in Video Frames

* Locating, Replacing, and Deleting Patterns in Graphics Editing of Line Drawings

* Location-Aware Image Classification

* Location-Aware Music Artist Recommendation

* Location-aware music recommendation

* location-aware scale-space method for salient object detection, A

* Location-based augmented reality on mobile phones

* Location-Based Crowdsourcing for Vehicular Communication in Hybrid Networks

* Location-based image retrieval for urban environments

* Location-Based Information Support System Using Multiple Cameras and LED Light Sources with the Compact Battery-Less Information Terminal (CoBIT)

* Location-Based Infrastructure Inspection for Sabo Facilities

* Location-based Services using Image Search

* Location-Free Object Tracking on Graph Structures

* Location-Map Free Reversible Data Hiding Method using Block-Based Single Parameter, A

* Location-Specific Coverage in Heterogeneous Networks

* Location-specific Transition Distributions for Tracking

* Location-tracking Testbed Using Vision-assisted Scheme For Wireless Sensor Networks, A

* Location-Wise Predetermined Deployment for Optimizing Lifetime in Visual Sensor Networks, A

* Location and Action-Based Model for Route Descriptions, A

* Location and geometric description of carpal bones in CT images

* Location and interpretation of destination addresses on handwritten Chinese envelopes

* Location and recognition of flashlight projections for visual interfaces

* Location and Recognition of Legal Amounts on Chinese Bank Cheques

* Location based abstraction of user generated mobile videos

* Location Based and Density Based Hierarchical Clustering Using Similarity Analysis

* Location by involution

* Location Constrained Pixel Classifiers for Image Parsing with Regular Spatial Layout

* Location Determination In Urban Environment from Image Sequences

* Location Discriminative Vocabulary Coding for Mobile Landmark Search

* Location Estimation of Cylinders from a 2-D Image

* Location Estimation of Predominant Sound Source with Embedded Source Separation in Amplitude-Panned Stereo Signal

* Location K-anonymity in indoor spaces

* Location Normalization of HMM-Based Lip Reading: Experiments for the M2VTS Database

* Location of iris based on circular and linear filters

* Location of Objects in a Cluttered Scene Using Probabilistic Relaxation

* Location of structural sections from within a highly distorted complex line drawing

* Location of Target with Random Gray Levels in Correlated Background with Optimal Processors and Preprocessings

* Location of the pupil-iris border in slit-lamp images of the cornea

* Location of title and author regions in document images based on the Delaunay triangulation

* Location privacy models in mobile applications: Conceptual view and research directions

* Location recognition on lifelog images via a discriminative combination of generative models

* Location recognition over large time lags

* Location Recognition Using Prioritized Feature Matching

* Location similarity of regions

* Location Systems for Ubiquitous Computing

* Locational Awareness on the Internet

* Locked to Stimulation: Significance Level of the Phase-Locking Factor

* Lockheed Martin Report: Progress in Image Invariants Research--1995

* Locking onto 3D-structure by a combined vergence- and fusion system

* LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS, The

* Locus Model of Search and its Use in Image Interpretation, The

* LOCUS: Learning Object Classes with Unsupervised Segmentation

* LOD Canny Edge Based Boundary Edge Selection for Human Body Tracking

* LOD Generation for 3D Polyhedral Building Model

* LODE: A distance-based classifier built on ensembles of positive and negative observations

* LOFAR Telescope: System Architecture and Signal Processing, The

* Log-Domain Diffeomorphic Registration of Diffusion Tensor Images

* Log-Euclidean bag of words for human action recognition

* Log-Euclidean Kernels for Sparse Representation and Dictionary Learning

* Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration, A

* Log-Gabor Filters for Image-Based Vehicle Verification

* Log-Gabor Weber Descriptor for Face Recognition

* Log-linear Mixtures for Object Class Recognition

* Log-Opponent Chromaticity Coding of Colour Space

* Log-Polar Based Scheme for Revealing Duplicated Regions in Digital Images

* Log-polar height maps for multiple range image registration

* Log-Polar Mapping Applied To Pattern Representation And Recognition

* Log-polar mapping template design: From task-level requirements to geometry parameters

* Log-Polar Stereo for Anthropomorphic Robots

* Log-Polar transform in 3D environment

* Log-polar wavelet energy signatures for rotation and scale invariant texture classification

* Log-Tracker: An Attribute-Based Approach to Tracking Human Body Motion

* LoG Characteristic Scale: A Consistent Measurement of Lung Nodule Size in CT Imaging, The

* log square average case algorithm to make insertions in fast similarity search, A

* Logarithm bispectrum-based approach to radar range profile for automatic target recognition

* Logarithm Gradient Histogram: A general illumination invariant descriptor for face recognition

* Logarithmic Image Prior for Blind Deconvolution, A

* Logarithmic Image Processing Model: Connections with Human Brightness Perception and Contrast Estimators, The

* Logarithmic Model-Based Dynamic Range Enhancement of Hip X-Ray Images

* Logarithmic multiresolution analysis

* Logarithmic Opinion Pool Based STAPLE Algorithm for the Fusion of Segmentations With Associated Reliability Weights, A

* Logarithmic Quantization Index Modulation for Perceptually Better Data Hiding, A

* Logarithmic Spiral Grid and Gaze Control for the Development of Strategies of Visual Segmentation on a Document

* Logarithmic Spiral Grids for Image Processing and Display

* Logarithmic Spread-Transform Dither Modulation watermarking Based on Perceptual Model

* Logarithmic Tapering Graph Pyramid

* Logarithmic total variation regularization for cross-validation in photon-limited imaging

* Logarithmical hopping encoding: A low computational complexity algorithm for image compression

* Logarithmically Improved Property Regression for Crowd Counting

* Logboats: A Global Symbolic Content for New Reflections on the Protection of World Heritage in the Future with the Help of Cutting Edge Technology

* LogCut: Efficient Graph Cut Optimization for Markov Random Fields

* LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications

* LoggerMan, a Comprehensive Logging and Visualization Tool to Capture Computer Usage

* Logic-oriented fuzzy clustering

* Logic as Energy: A SAT-Based Approach

* Logic filters for resolution conversion of digital images

* logic framework for active contours on multi-channel images, A

* Logic Gate Implementation for Gray-Scale Morphology

* logic of constraint satisfaction, The

* Logic of Depiction, The

* Logical Approach to Real Options Identification With Application to UAV Systems, A

* Logical Approach to Representing and Reasoning about Space, A

* logical combinatorial approach to pattern recognition, an overview through selected works, The

* Logical DP Matching for Detecting Similar Subsequence

* Logical Entity Recognition in Multi-Style Document Page Images

* Logical Foundations and Fast Implementation of Probabilistic Tractography

* Logical Framework for Depiction and Image Interpretation, A

* Logical Heuristic Algorithm in Extracting 2D Structure Thinned Binary Image into Freeman Chain Code (FCC)

* Logical labeling of Arabic newspapers using artificial neural nets

* Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning

* Logical labeling using Bayesian networks

* Logical Models of Images and Recognition Operators for Image Understanding Environment

* logical neural network that adapts to changes in the pattern environment, A

* Logical Pattern Recognition Program, A

* Logical Representation of a Conceptual Model for Spatial Data Warehouses

* Logical Representation of Bincode and its Applications in Manipulating Binary Images, The

* Logical structure analysis by typographic characteristics extraction

* Logical Structure Analysis for Form Images with Arbitrary Layout by Belief Propagation

* Logical structure analysis of book document images using contents information

* Logical Structure Analysis of Document Images Based on Emergent Computation

* Logical Structure Recognition of Scientific Bibliographic References

* Logical Templates for Feature Extraction in Fingerprint Images

* Logical/Linear Operators for Image Curves

* Logically Efficient Spatial-Resolution Conversion Using Paired Increasing Operators

* LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs

* LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain

* LOGISMOS: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces: Cartilage Segmentation in the Knee Joint

* Logistic Component Analysis for Fast Distance Metric Learning

* Logistic dynamic texture model for human activity and gait recognition

* Logistic label propagation

* Logistic Random Field: A convenient graphical model for learning parameters for MRF-based labeling, The

* Logistic Regression of Generic Codebooks for Semantic Image Retrieval

* Logistic regression using covariates obtained by product-unit neural network models

* Logit-RankBoost with pruning for face recognition

* Logitboost Extension for Early Classification of Sequences

* Lognormal Random Field Models and Their Applications to Radar Image Synthesis

* Logo and Trademark Retrieval in General Image Databases Using Color Edge Gradient Co-occurrence Histograms

* Logo and word matching using a general approach to signal registration

* Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles

* Logo Detection Using Painting Based Representation and Probability Features

* Logo Extraction Using Combined Discrete Wavelet Transform and Dynamic Stochastic Resonance

* Logo Extraction Using Dynamic Stochastic Resonance

* Logo insertion on an HDTV encoder

* Logo insertion transcoding for H.264/AVC compressed video

* Logo localization and recognition in natural images using homographic class graphs

* Logo Matching for Document Image Retrieval

* Logo recognition in video stills by string matching

* Logo Recognition Using CNN Features

* Logo Recognition via Improved Topological Constraint

* Logo Spotting by a Bag-of-words Approach for Document Categorization

* Logo spotting for document categorization

* Logos Technologies

* Logotype Detection Concept in Video Stream Based on Features Extraction and Features Clustering from Contours and Colors

* Logotype Detection in Compressed Images Using Alignment Signatures

* Logotype detection to support semantic-based video annotation

* Lola: Object Manipulation in an Unstructured Environment

* Lola: Probabilistic Navigation for Topological Maps

* Lonely but attractive: Sparse color salient points for object retrieval and categorization

* Long-Bone Fracture Detection in Digital X-ray Images Based on Concavity Index

* Long-correlation image models for textures with circular and elliptical correlation structures

* Long-CPI Multichannel SAR-Based Ground Moving Target Indication

* Long-Distance Geomagnetic Navigation: Imitations of Animal Migration Based on a New Assumption

* Long-range high-performance time-of-flight-based 3D imaging sensors

* Long-Range Inhibition in Reaction-Diffusion Algorithms Designed for Edge Detection and Stereo Disparity Detection

* Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution

* Long-Range Prediction for Real-Time MPEG Video Traffic: An H_infty Filter Approach

* Long-Range Road Geometry Estimation Using Moving Vehicles and Roadside Observations

* Long-Range Saliency of Edge- and Corner-Based Salient Points, The

* Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection

* Long-Range Spatiotemporal Motion Understanding Using Spatiotemporal Flow Curves

* Long-range trajectories from global and local motion representations

* Long-Short Story of Movie Description, The

* Long-short term memory neural networks language modeling for handwriting recognition

* Long-Term Automated Monitoring of Nearshore Wave Height From Digital Video

* Long-term background memory based on Gaussian mixture model

* Long-Term Background Reconstruction with Camera in Motion

* Long-Term Consecutive DInSAR for Volume Change Estimation of Land Deformation

* Long-term correlation tracking

* Long-Term Detection and Tracking

* Long-Term Distribution Patterns of Chlorophyll-a Concentration in China's Largest Freshwater Lake: MERIS Full-Resolution Observations with a Practical Approach

* Long-Term Effects of Secondary Sensing, The

* Long-term global motion estimation and its application for sprite coding, content description, and segmentation

* Long-Term Incremental Web-Supervised Learning of Visual Concepts via Random Savannas

* Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique

* Long-term learning in content-based image retrieval

* Long-term Memory Motion-compensated Prediction for Robust Video Transmission

* Long-Term Memory Motion-Compensated Prediction

* Long-Term Memory Prediction Using Affine Motion Compensation

* Long-Term Monitoring and Correction of FY-2 Infrared Channel Calibration Using AIRS and IASI

* Long-term Moving Object Segmentation and Tracking Using Spatio-temporal Consistency

* Long-Term Multi-Cue Tracking of Hands in Vehicles

* Long-term object tracking for parked vehicle detection

* Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery

* Long-Term Pattern of Primary Productivity in the East/Japan Sea Based on Ocean Color Data Derived from MODIS-Aqua

* Long-Term Record of Sampled Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data

* Long-term recurrent convolutional networks for visual recognition and description

* Long-Term Reference Frame for Hierarchical B-Picture-Based Video Coding, A

* Long-Term Relative Radiometric Calibration and Antenna Pointing Estimation by Natural Targets

* Long-term relevance feedback and feature selection for adaptive content based image suggestion

* Long-Term Satellite Detection of Post-Fire Vegetation Trends in Boreal Forests of China

* Long-Term Similarity Learning in Content-Based Image Retrieval

* Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection

* Long-Term Tracking through Failure Cases

* Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors

* Long-Term Volcanic Activity at Shiveluch Volcano: Nine Years of ASTER Spaceborne Thermal Infrared Observations

* Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance

* Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches

* Long-wave infrared polarimetric cluster-based vehicle detection

* Long Bone Panoramas From Fluoroscopic X-Ray Images

* Long crested wave models

* Long distance bigram models applied to word clustering

* Long focal length panoramic imaging for photogrammetric reconstruction

* Long Focal Lens Camera Calibration Applied for Level-of-Detail Terrain Texture Fusion

* Long Integration Fine Resolution SAR Image Formation

* Long scene panorama generation for indoor environment

* Long Sequence Matching and Motion

* Long Sequences, Motion Matching

* Long Strip Modelling for CARTOSAT-1 with Minimum Control

* Long term analysis of time series of satellite images

* Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts

* Long term availability analysis of experimental free space optics system

* long term change detection method for surveillance applications, A

* Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia

* Long term learning for image retrieval over networks

* Long Term Relevance Feedback: A Probabilistic Axis Re-Weighting Update Scheme

* Long Term Subsidence Analysis and Soil Fracturing Zonation Based on InSAR Time Series Modelling in Northern Zona Metropolitana del Valle de Mexico

* Long term tracking using bayesian networks

* Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa

* Long term video segmentation through pixel level spectral clustering on GPUs

* long trip in the charming world of graphs for Pattern Recognition, A

* Long Wavelength SAR Backscatter Modelling Trends as a Consequence of the Emergent Properties of Tree Populations

* Longest Common Subsequence Algorithm Suitable for Similar Text Strings, A

* Longest k-distance substrings of two strings

* Longitudinal aberrations caused by optical filters and their compensation in multispectral imaging

* Longitudinal aliasing in multislice helical computed tomography: sampling and cone-beam effects

* Longitudinal and Lateral Control for Automated Yielding Maneuvers

* Longitudinal control of heavy trucks in mixed traffic: environmental and fuel economy considerations

* Longitudinal driving behaviour on different roadway categories: An instrumented-vehicle experiment, data collection and case study in China

* Longitudinal Image Registration With Temporally-Dependent Image Similarity Measure

* longitudinal model for variations detection in white matter fiber-bundles, A

* Longitudinal Model Identification and Velocity Control of an Autonomous Car

* Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions

* Longitudinal sampling and aliasing in spiral CT

* Look-ahead coding considering rate-distortion-optimization

* Look-Ahead Strategy for Graph Matching in Retrieval by Spatial Arrangement, A

* Look-up-table Based DCT Domain Inverse Motion Compensation

* Look-Up-Table Based Halftoning Algorithm

* Look-up table (LUT) method for inverse halftoning

* Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks

* Look at Motion in the Frequency Domain, A

* Look at the Driver, Look at the Road: No Distraction! No Accident!

* Look Closely: Learning Exemplar Patches for Recognizing Textiles from Product Images

* Look Inside the World of Parts of Handwritten Characters

* Look Ma, No Mouse!: Simplifying Human-Computer Interaction by Using Hand Gestures

* Look there! predicting where to look for motion in an active camera network

* Look up Table (LUT) Method for Image Halftoning

* Look who's talking: Speaker detection using video and audio correlation

* Lookahead Search for Lossy Context-based Adaptive Entropy Coding

* Lookapp: interactive construction of web-based concept detectors

* Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety

* Looking around the backyard helps to recognize faces and digits

* Looking Around the Corner Using Transient Imaging

* Looking Around the Corner using Ultrafast Transient Imaging

* Looking at Machine Vision

* Looking at people

* Looking at People: Sensing for Ubiquitous and Wearable Computing

* Looking at the surprise: Bottom-up attentional control of an active camera system

* Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis

* looking back screens, The

* Looking Beyond Stereoscopic 3D's Revival

* Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection

* Looking Beyond the Visible Scene

* Looking for Prototypes by Genetic Programming

* Looking for Shapes in Two-Dimensional Cluttered Point Clouds

* Looking for the brain stroke signature

* Looking for Trouble: Using Causal Semantics to Direct Focus of Attention

* Looking from Above: When Earth Observation Meets Vision

* Looking Inside Category: Subcategory-Aware Object Recognition

* LookTel

* Looktel: A comprehensive platform for computer-aided visual assistance

* Lookup-Table-Based Gradient Field Reconstruction

* Lookup Table Loadings for Image Processing with Controlled Knots

* Looming Detection in Log-Polar Coordinates

* loop-consistency measure for dense correspondences in multi-view video, A

* Loop-filtering and Post-filtering for Low Bit-rate Moving Picture Coding

* Loop-free snakes for highly irregular object shapes

* Loop-Free Snakes for Image Segmentation

* Loop-shaping techniques applied to the least-mean-squares algorithm

* Loop Closing for Visual Pose Tracking during Close-Range 3-D Modeling

* Loop Closure Detection by Algorithmic Information Theory: Implemented on Range and Camera Image Data

* loop filter with segmentation mode in video coding, A

* Loop Filtering and Post-Filtering for Low-Bit-Rates Moving Picture Coding

* Loop Removal from Colon Central Path Through Skeleton Scale-Space Tracking

* Loop Reversal Rule in Block Diagram and Signal Flow Graph Manipulation

* Loopy Belief Propagation approach for robust background estimation, A

* Loose-gray-scale template matching

* Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation

* Loose-Pattern Process Approach to Clustering Fuzzy Data Sets, A

* Loose L1/2 regularised sparse representation for face recognition

* Loose shape model for discriminative learning of object categories

* Loosely Distinctive Features for Robust Surface Alignment

* LOP-cursor: Fast and precise interaction with tiled displays using one hand and levels of precision

* Lorentzian Discriminant Projection and Its Applications

* Loss-Resilient Coding of Texture and Depth for Free-Viewpoint Video Conferencing

* Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art

* Loss resilient H.263+ video over the Internet

* Loss Visibility Optimized Real-Time Video Transmission Over MIMO Systems

* Lossless-by-Lossy Approach to Lossless Image Compression, A

* Lossless 3D steganography based on MST and connectivity modification

* Lossless acceleration for correlation-based nearest-neighbor pattern recognition

* Lossless Acceleration of Fractal Compression Using Domain and Range Block Local Variance Analysis

* Lossless acceleration of fractal image compression by fast convolution

* Lossless acceleration of fractal image encoding via the fast Fourier transform

* Lossless Aggregation for Transporting Stored Video over a CBR Communications Channel

* Lossless and Lossy Image Compression Using Biorthogonal Wavelet Transforms with Multiplierless Operations

* Lossless and Near-Lossless Compression for Mammographic Digital Images

* Lossless and near-lossless compression of hyperspectral images based on distributed source coding

* Lossless and Near-Lossless Compression of Still Color Images

* Lossless and Near-lossless Image Compression with Color Transformations

* Lossless and Reversible Data Hiding in Encrypted Images With Public-Key Cryptography

* Lossless and Sufficient Psi-Invariant Decomposition of Random Reciprocal Target

* Lossless authentication of mpeg-2 video

* Lossless chain coder for gray edge images

* Lossless chaos-based crypto-compression scheme for image protection

* lossless coding method using shape information and rotation compensation for digital museum images, A

* Lossless Coding of Color Images using Block-Adaptive Inter-Color Prediction

* Lossless coding of hyperspectral images with principal polynomial analysis

* Lossless Coding of Multichannel Signals Using Optimal Vector Hierarchical Decomposition

* Lossless Coding of Still Images Using Minimum-rate Predictors

* Lossless Coding of Still Images with Four Channel Prediction

* Lossless Coding Using Predictors and Arithmetic Code Optimized for Each Image

* Lossless Coding, Lossless Compression, Transmission

* Lossless Color Image Compression Architecture Using a Parallel Golomb-Rice Hardware CODEC, A

* lossless color image compression method based on a new reversible color transform, A

* Lossless color medical image compression using adaptive block-based encoding for human computed tomographic images

* Lossless colour image compression using RCT for bi-level BWCA

* Lossless Compession of VQ Index with Search-Order Coding

* Lossless Compression Algorithms for Post-OPC IC Layout

* Lossless compression and information hiding in images

* Lossless Compression Approach for Mammographic Digital Images Based on the Delaunay Triangulation, A

* Lossless Compression for µ-Law (Mu-Law) and IMA ADPCM on the Basis of a Fast RLS Algorithm

* Lossless Compression for RGB Color Still Images

* Lossless compression for storing similar binary images

* lossless compression method for JPEG based on shuffle algorithm, A

* Lossless compression methods for hyperspectral images

* Lossless Compression of AVIRIS Images by Vector Quantization, The

* Lossless compression of AVIRIS images

* Lossless Compression of Bi-level Images Based on Context Selection and Hierarchical Enumerative Coding

* Lossless Compression of CCD Sensor Data

* Lossless Compression of Color-Quantized Images Using Block-Based Palette Reordering

* Lossless Compression of Color Filter Array Images by Hierarchical Prediction and Context Modeling

* Lossless Compression of Color Map Images by Context Tree Modeling

* Lossless Compression of Color Mosaic Images

* Lossless Compression of Color Sequences Using Optimal Linear Prediction Theory

* Lossless Compression of Computer Generated Animation Frames

* Lossless Compression of Continuous-Tone Images via Context Selection, Quantization, and Modeling

* Lossless compression of continuous-tone images

* Lossless Compression of Continuous Tone Images by Combined Inter-Bit-Plane Decorrelation and Jbig Coding

* Lossless Compression of Correlated Images/Data with Low Complexity Encoder Using Distributed Source Coding Techniques

* Lossless Compression of Digital Mammography Using Fixed Block Segmentation and Pixel Grouping

* Lossless compression of HDR color filter array image for the digital camera pipeline

* Lossless Compression of Hyperspectral Image Based on 3DLMS Prediction

* Lossless Compression of Hyperspectral Imagery via Clustered Differential Pulse Code Modulation with Removal of Local Spectral Outliers

* Lossless compression of hyperspectral images using lookup tables

* Lossless Compression of Hyperspectral Images Using Multiband Lookup Tables

* Lossless Compression of Images Using Logic Minimization

* Lossless compression of JPEG coded photo albums

* Lossless Compression of JPEG Coded Photo Collections

* Lossless Compression of Map Contours by Context Tree Modeling of Chain Codes

* Lossless Compression of Microarray Images Using Image-Dependent Finite-Context Models

* Lossless Compression of Microarray Images

* Lossless compression of multi-dimensional medical image data using binary-decomposed high-order entropy coding

* Lossless Compression of Multi/Hyper-Spectral Imagery Based on a 3-D Fuzzy Prediction

* Lossless compression of multispectral image data

* Lossless Compression of Polar Iris Image Data

* Lossless compression of pre-press images using a novel colour decorrelation technique

* Lossless Compression of Satellite Image Sets Using Spatial Area Overlap Compensation

* Lossless Compression of Segmented CT Medical Images According to the Hounsfield Scale

* Lossless Compression of Textual Images: A Study on Indic Script Documents

* Lossless Compression of Video Sequences

* Lossless compression of video using temporal information

* Lossless Compression of VLSI Layout Image Data

* Lossless Compression Scheme for Bayer Color Filter Array Images, A

* Lossless Compression Using Joint Predictor for Astronomical Images

* Lossless data compression for image decomposition with recursive IDP algorithm

* lossless data embedding technique by joint neighboring coding, A

* Lossless Data Embedding Using Generalized Statistical Quantity Histogram

* Lossless Data Embedding: New Paradigm in Digital Watermarking

* Lossless data hiding for color images based on block truncation coding

* Lossless data hiding for halftone images

* Lossless Data Hiding for Medical Images with Patient Information

* lossless data hiding scheme based on three-pixel block differences, A

* Lossless Data Hiding Using Histogram Shifting Method Based on Integer Wavelets

* lossless DCT for combined lossy/lossless image coding, The

* Lossless DEM Watermark Signature Based on Directional Wavelet

* Lossless Embedded Compression Using Significant Bit Truncation for HD Video Coding, A

* Lossless FMO and Slice Structure Modification for Compressed H.264 Video

* Lossless Frame Memory Compression Using Pixel-Grain Prediction and Dynamic Order Entropy Coding

* Lossless Generalized-LSB Data Embedding

* Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average

* Lossless image and video coding based on H.264/AVC intra predictions with simplified interpolations

* Lossless Image Coding Based on Inter-color Prediction for Ultra High Definition Image

* Lossless image coding using adaptive, switching algorithm with automatic fuzzy context modelling

* Lossless image coding via adaptive linear prediction and classification

* lossless image compression algorithm using variable block size segmentation, A

* Lossless image compression and encryption using SCAN

* Lossless Image Compression and Selective Encryption using a Discrete Radon Transform

* Lossless image compression based on a fuzzy linear prediction with context based entropy coding

* Lossless Image Compression based on Enhanced Fuzzy Regression Prediction

* Lossless Image Compression Based on Optimal Prediction, Adaptive Lifting, and Conditional Arithmetic Coding

* Lossless Image Compression by Block Matching

* Lossless image compression by LMS adaptive filter banks

* Lossless Image Compression by Quantization Feedback in a Content-Driven Enhanced Laplacian Pyramid

* Lossless Image Compression Method for Human Static Signatures, A

* Lossless image compression using 2D allpass filters

* Lossless Image Compression using Adaptive Predictor Combination, Symbol Mapping and Context Filtering

* Lossless image compression using adjustable fractional line-buffer

* Lossless image compression using binary wavelet transform

* Lossless image compression using causal block matching and 3D collaborative filtering

* Lossless image compression using gradient based space filling curves (G-SFC)

* Lossless Image Compression Using Integer to Integer Wavelet Transforms

* Lossless Image Compression using Modular Differential Pulse Code Modulation

* Lossless Image Compression Using Predictive Codebooks

* Lossless Image Compression Using Super-Spatial Structure Prediction

* Lossless Image Compression Using the Discrete Cosine Transform

* Lossless Image Compression Using Wavelet Decomposition

* Lossless image compression via predictive coding of discrete Radon projections

* Lossless Image Compression with BCTW

* Lossless image compression with multiscale segmentation

* Lossless image compression with projection-based and adaptive reversible integer wavelet transforms

* Lossless integer color transform for four color components

* Lossless Integer Wavelet Transform

* Lossless Microarray Image Compression using Region Based Predictors

* lossless morphological sampling scheme for segmented image compression, A

* Lossless nibbled data embedding scheme based on difference expansion

* Lossless parameterisation of image contour for shape recognition

* Lossless Predictive Coding for Images With Bayesian Treatment

* Lossless predictive coding with Bayesian treatment

* Lossless progressive transmission of scientific data using biorthogonal wavelet transform

* Lossless Quantization of Hadamard Transform Coefficients

* Lossless re-coding using integer linear programming for H.264/MPEG-4 AVC

* Lossless recovery of a VQ index table with embedded secret data

* Lossless region of interest coding

* Lossless region of interest with a naturally progressive still image coding algorithm

* lossless robust data hiding scheme, A

* Lossless ROI Medical Image Watermarking Technique with Enhanced Security and High Payload Embedding

* Lossless screen content coding in HEVC based on sample-wise median and edge prediction

* Lossless shape coding using the four colors theorem

* Lossless Tagged Visual Cryptography Scheme, A

* Lossless to Lossy Dual-Tree BEZW Compression for Hyperspectral Images

* Lossless transform coding system for digital signals

* Lossless Video Coding Using Lattice Based Distributed Source Coding Techniques

* Lossless video coding using optimal 3D prediction

* Lossless video compression based on backward adaptive pixel-based fast motion estimation

* Lossless Video Sequence Compression Using Adaptive Prediction

* Lossless Watermarking Considering the Human Visual System

* Lossless Watermarking for Image Authentication: A New Framework and an Implementation

* Lossless, Near-Lossless, and Refinement Coding of Bilevel Images

* Lossless, Reconstructions from Wavelet Coded Images

* Lossless/ Lossy Progressive Coding based on Reversible Wavelet and Lossless Multi-channel Prediction

* Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data

* Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition

* Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms

* Lossy-to-lossless image compression based on multiplier-less reversible integer time domain lapped transform

* Lossy-to-lossless progressive coding of depth-map images using competing constant and planar models

* Lossy and Lossless Compression for Color-quantized Images

* Lossy and lossless image compression using reversible integer wavelet transforms

* Lossy and lossless image encoding using multi-scale recurrent pattern matching

* Lossy Compression Effects on Digital Image Matching

* Lossy Compression of Bilevel Images Based on Markov Random Fields

* Lossy compression of clustered-dot halftones

* Lossy Compression of Hyperspectral Data Using Vector Quantization

* Lossy Compression of Images Corrupted by Film Grain Noise

* Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise

* Lossy Compression of Noisy Images

* Lossy Compression of Stochastic Halftones with JBIG2

* Lossy compression of ultraspectral images: Integrating preprocessing and compression stages

* Lossy Cutset Coding of Bilevel Images Based on Markov Random Fields

* Lossy Depth Image Compression using Greedy Rate-Distortion Slope Optimization

* Lossy dictionary-based image compression method

* Lossy encoding of motion vectors using entropy-constrained vector quantization

* Lossy image coding in the pixel domain using a sparse steering kernel synthesis approach

* Lossy Image Compression: Domain Decomposition-Based Algorithms

* Lossy Lempel-Ziv Algorithm for Large Alphabet Sources and Applications to Image Compression

* Lossy predictive coding of SAR raw data

* Lossy to lossless image compression based on reversible integer DCT

* Lossy to Lossless Image Compression Using Allpass Filters

* Lossy to lossless object-based coding of 3-d MRI data

* Lossy/Lossless Coding Algorithm Using Histogram, A

* lossy/lossless compression method for printed typeset bi-level text images based on improved pattern matching, A

* Lossy/lossless region-of-interest image coding based on set partitioning in hierarchical trees

* Lost But Found? Harnessing the Internet for Photometric Completion

* Lost in binarization: query-adaptive ranking for similar image search with compact codes

* Lost in quantization: Improving particular object retrieval in large scale image databases

* Lost Shopping! Monocular Localization in Large Indoor Spaces

* Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization

* LOST: Longterm Observation of Scenes (with Tracks)

* LOT coding for arbitrarily shaped object regions

* Lotus Hill Institute

* LOTUS: Composing a multi-user interactive tiled display virtual environment

* Love Thy Neighbors: Image Annotation by Exploiting Image Metadata

* Loveparade 2010: Automatic video analysis of a crowd disaster

* Low-Aliasing Wavelets for Pyramidal Image Coding

* Low-bit-rate coding of underwater color image using improved wavelet difference reduction

* Low-Bit-Rate Video Coding Using Dense Motion Field and Uncovered Background Prediction

* Low-Bit-Rate VQ: A Projection Based Approach

* Low-bit depth-high-dynamic range image generation by blending differently exposed images

* Low-bit rate subband video coding

* Low-bitrate benefits of JPEG compression on sift recognition

* Low-complexity 3D-DWT video encoder applicable to IPTV

* Low-complexity algorithm for fractional-pixel motion estimation

* Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts, A

* Low-Complexity Analytical Modeling for Cross-Layer Adaptive Error Protection in Video Over WLAN, A

* Low-Complexity and Context-Aware Estimation of Spatial and Temporal Activity Parameters for Automotive Camera Rate Control

* Low-complexity and high-efficiency background modeling for surveillance video coding

* Low-complexity and low-memory entropy coder for image compression

* Low-complexity and robust comic fingerprint method for comic identification

* Low-Complexity Approach for the Color Display of Hyperspectral Remote-Sensing Images Using One-Bit-Transform-Based Band Selection, A

* Low-complexity arbitrarily shaped transform and coefficient ordering method based on the four-point DCT

* Low-complexity background subtraction based on spatial similarity

* Low-Complexity Bit-Plane Entropy Coding and Rate Control for 3-D DWT Based Video Coding, A

* Low-Complexity Block-Based Motion Estimation via One-Bit Transforms

* Low-complexity block size decision for HEVC intra coding using binary image feature descriptors

* Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer

* Low-Complexity Coarse-Level Mode-Mapping Based H.264/AVC to H.264/SVC Spatial Transcoding for Video Conferencing

* Low-complexity compression of multispectral images based on classified transform coding

* Low-complexity content-aware image retargeting

* Low-Complexity Cross-Layer Optimization Algorithm for Video Communication Over Wireless Networks, A

* low-complexity data-adaptive approach for premature ventricular contraction recognition, A

* Low-Complexity Deformation Invariant Descriptor, A

* Low-complexity depth map compression in HEVC-based 3D video coding

* Low-Complexity Design of Noninteger Fractionally Spaced Adaptive Equalizers for Coherent Optical Receivers

* Low-complexity dictionary based lossless screen content coding

* Low-complexity digital filter bank for strongly aberrated optical systems having variable f-numbers

* Low-Complexity Embedded Compression Codec Design With Rate Control for High-Definition Video, A

* Low-Complexity Energy Efficiency Optimization with Statistical CSI in Two-Hop MIMO Systems

* Low-complexity enhanced lapped transform for image coding in JPEG XR / HD photo

* low-complexity error-resilient H.263 coder, A

* Low-complexity Face-assisted Video Coding

* Low-Complexity Fractal-Based Image Compression Technique

* Low-complexity Global Motion Estimation from P-frame Motion Vectors for Mpeg-7 Applications

* Low-complexity GMM-based block quantisation of images using the discrete cosine transform

* Low-Complexity Hand Gesture Recognition System for Continuous Streams of Digits and Letters

* Low-complexity heterogeneous architecture for H.264/HEVC video transcoding

* Low-Complexity Heterogeneous Video Transcoding Using Data Mining

* Low-complexity high-quality adaptive deblocking filter for H.264/AVC system

* Low-complexity HOG for efficient video saliency

* Low-complexity Image-based 3D Gaming

* Low-complexity image coder/decoder with an approaching-entropy quad-tree search code for embedded computing platforms

* Low-Complexity Image Denoising Based on Statistical Modeling of Wavelet Coefficients

* Low-Complexity Image Registration Algorithm for Global Motion Estimation, A

* Low-Complexity Implementation of the Affine Projection Algorithm

* Low-Complexity Interpolation Method for Deinterlacing, A

* Low-Complexity Intra Coding for Scalable Extension of HEVC Based on Content Statistics

* Low-complexity intra prediction algorithm for video down-sizing transcoder

* Low-Complexity Inverse Transforms of Video Codecs in an Embedded Programmable Platform

* Low-complexity iris recognitionwith oriented wavelets

* low-complexity iterative mode selection algorithm for Wyner-Ziv video compression, A

* Low-Complexity Joint Antenna Tilting and User Scheduling for Large-Scale ZF Relaying

* Low-Complexity Joint Color Demosaicking and Zooming Algorithm for Digital Camera, A

* Low-Complexity Linear Demosaicing Using Joint Spatial-Chromatic Image Statistics

* Low-Complexity Lossless Compression of Hyperspectral Imagery via Linear Prediction

* Low-complexity lossless video coding via adaptive spatio-temporal prediction

* Low-complexity lossy compression of hyperspectral images via informed quantization

* Low-complexity macroblock mode selection for H.264/AVC encoders

* Low-Complexity MMSE Precoding for Coordinated Multipoint With Per-Antenna Power Constraint

* Low-complexity mode-dependent KLT for block-based intra coding

* Low-Complexity Mode Decision for MVC

* Low-complexity motion estimation for VLBR video coders

* Low-complexity multi-standard variable length coding decoder using tree-based partition and classification

* Low-Complexity Multiresolution Image Compression Using Wavelet Lower Trees

* Low-complexity near-lossless image coder for efficient bus traffic in very large size multimedia SoC

* Low-Complexity Near-ML Differential Spatial Modulation Detector, A

* low-complexity packet classification algorithm for multiple description video streaming over IEEE802.11E networks, A

* Low-Complexity Packet Scheduling Algorithms for Streaming Scalable Media Based on Time Utility Function

* low-complexity palette re-indexing technique based on sampling-swapping, A

* Low-Complexity Parabolic Lip Contour Model With Speaker Normalization for High-Level Feature Extraction in Noise-Robust Audiovisual Speech Recognition, A

* Low-complexity Post-processing for Artifact Reduction in Block-DCT Based Video Coding

* Low-complexity progressive image transmission scheme based on quadtree segmentation

* Low-Complexity Quality Monitoring of MPEG-2 Video in a Network

* Low-complexity quantization for H.264/AVC

* Low-Complexity Rate-Distortion Optimal Macroblock Mode Selection and Motion Estimation for MPEG-Like Video Coders

* Low-complexity rate-distortion optimal transcoding of MPEG I-frames

* Low-Complexity Rate-Distortion Optimization Algorithms for HEVC Intra Prediction

* Low-Complexity Rate-Distortion Optimized Video Streaming

* low-complexity rate allocation algorithm for joint source-channel video coding, A

* Low-complexity rate control based on rho-domain model for Scalable Video Coding

* Low-Complexity Rate Control for Efficient H.263 to H.264/AVC Video Transcoding

* Low-complexity rate control in video coding based on bi-geometric transparent composite models

* low-complexity rate distortion model for motion estimation in H.263, A

* low-complexity reduced-reference print identification algorithm, A

* Low-Complexity Region-Based Video Coder Using Backward Morphological Motion Field Segmentation

* Low-Complexity Region-Based Video Compression Framework Using Morphology, A

* Low-Complexity Region-of-Interest Extraction for Multiview Video Coding

* Low-complexity Scalable DCT Image Compression

* Low-complexity scheme for adaptive interpolation filter based on amplitude characteristic analysis

* Low-Complexity Screen Compression Scheme for Interactive Screen Sharing, A

* low-complexity screen compression scheme, A

* Low-complexity separable multiplier-less loop filter for video coding

* Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

* Low-complexity skip prediction for H.264 through Lagrangian cost estimation

* low-complexity soft VLC decoder using performance modeling, A

* Low-Complexity Spectrum Shaping for OFDM-Based Cognitive Radio Systems

* Low-Complexity Subband Image-Coding with Pseudo QMF and Pyramidal Lattice VQ

* Low-complexity temporal error concealment by motion vector processing for mobile video applications

* Low-Complexity Topological Derivative-Based Segmentation

* Low-Complexity Tracking-Aware H.264 Video Compression for Transportation Surveillance

* Low-Complexity Transcoding of Inter Coded Video Frames from H.264 to H.263

* Low-Complexity Transcoding of JPEG Images With Near-Optimal Quality Using a Predictive Quality Factor and Scaling Parameters

* Low-complexity transform and quantization in H.264/AVC

* Low-complexity transform and quantization with 16-bit arithmetic for H.26L

* Low-Complexity TTCM Based Distributed Video Coding Architecture

* Low-complexity unbalanced multiple description coding based on balanced clusters for adaptive peer-to-peer video streaming

* low-complexity upsampling technique for H.264, A

* Low-Complexity Velocity Estimation in High-Speed Optical Doppler Tomography Systems

* Low-Complexity Video Coding Based on Two-Dimensional Singular Value Decomposition

* Low-Complexity Video Coding for Receiver-Driven Layered Multicast

* Low-complexity video coding via power-rate-distortion optimization

* Low-Complexity Video Compression Combining Adaptive Multifoveation and Reuse of High-Resolution Information

* Low-Complexity Video Quality Assessment Using Temporal Quality Variations

* Low-Complexity Voice Activity Detector Using Periodicity and Energy Ratio

* Low-Complexity Voice Detector for Mobile Environments

* Low-Complexity, Efficient 9/7 Wavelet Filters Implementation

* low-complexity, motion-robust, spatio-temporally adaptive video de-noiser with in-loop noise estimation, A

* Low-Computational Approach on Gaze Estimation With Eye Touch System, A

* Low-contrast satellite images enhancement using discrete cosine transform pyramid and singular value decomposition

* Low-contrast surface inspection of mura defects in liquid crystal displays using optical flow-based motion analysis

* Low-cost 3DUI using hand tracking and controllers

* Low-cost Airborne Platform For Ecological Monitoring, A

* Low-cost and high-speed hardware implementation of contrast-preserving image dynamic range compression for full-HD video enhancement

* low-cost architecture for real-time processing and analysis of binary images, A

* Low-Cost Attack on Branch-Based Software Watermarking Schemes, A

* Low-Cost Calibration Method for Automated Optical Mensuration Using A Video Camera, A

* Low-cost camera array for mitigating lighting range effects

* Low-Cost Compressive Sensing for Color Video and Depth

* Low-Cost Content-Adaptive and Rate-Controllable Near-Lossless Image Codec in DPCM Domain, A

* Low-Cost Eye Gaze Prediction System for Interactive Networked Video Streaming

* Low-Cost Hardware Architecture for Illumination Adjustment in Real-Time Applications, A

* Low-Cost Head and Eye Tracking System for Realistic Eye Movements in Virtual Avatars, A

* Low-Cost High-Quality Adaptive Scalar for Real-Time Multimedia Applications, A

* Low-Cost Imaging Method to Avoid Hand Shake Blur for Cell Phone Cameras, A

* Low-Cost Implementation of a 360 Deg Vision Distributed Aperture System, A

* Low-cost Interactive Active Monocular Range Finder

* Low-cost interactive active range finder

* Low-cost junction characterization using polar averaging filters

* Low-Cost Laser Range Scanner and Fast Surface Registration Approach

* Low-cost license plate detection using a calibrated camera

* Low-Cost Mixed Reality Simulator for Industrial Vehicle Environments

* Low-Cost Multi-image Based 3D Human Body Modeling

* low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements, A

* Low-cost Optical Camera System for Disaster Monitoring

* Low-cost optical Camera Systems for real-time Mapping Applications

* Low-Cost Optoelectronic System for Three-Dimensional Artwork Texture Measurement

* low-cost parallel K-means VQ algorithm using cluster computing, A

* Low-Cost Pedestrian-Detection System With a Single Optical Camera, A

* Low-Cost Range Finder using a Visually Located, Structured Light Source, A

* Low-Cost Remote Sensing Experinments within an Educational Environment

* Low-Cost Robot Camera Head, A

* Low-cost sensor to detect overtaking based on optical flow

* Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System, A

* Low-cost solution to on-line color filter array demosaicking

* low-cost strong shadow-based segmentation approach for vehicle tracking in congested traffic scenes, A

* Low-cost surveys of the Domus of Stallius Eros in Pompeii

* Low-Cost System to Detect Bunches of Grapes in Natural Environment from Color Images, A

* Low-Cost System Using Sparse Vision for Navigation In the Urban-Environment, A

* Low-cost Terrestrial Photogrammetry as a Tool for a Sample-Based Assessment of Soil Roughness

* low-cost vehicle counter for next-generation ITS, A

* Low-cost Video Frame-rate Up Conversion using Compressed-domain Information, A

* low-cost visual sensor network for elderly care, A

* Low-cost visual tracking with an intelligent wheelchair for innovative assistive care

* Low-cost, high-speed computer vision using NVIDIA's CUDA architecture

* Low-Cost, Linux-Based Virtual Environment for Visualizing Vascular Structures, A

* Low-Cost, Tiled Embedded Smart Camera System for Computer Vision Applications, A

* Low-cost, Ultra-high Spatial And Temporal Resolution Mapping Of Intertidal Rock Platforms

* Low-Decoding-Latency Buffer Compression for Graphics Processing Units

* Low-delay and error-robust wireless video transmission for video communications

* Low-Delay Peer-To-Peer Media Streaming Based on Network Coding Over Randomized Multicast Trees

* Low-Delay Rate Control for Consistent Quality Using Distortion-Based Lagrange Multiplier

* Low-delay rate control for DCT video coding via rho-domain source modeling

* Low-delay video control in a personal area network for augmented reality

* Low-Delay, Low-Complexity Rate Reduction and Continuous Presence for Multipoint Videoconferencing

* Low-dimensional and comprehensive color texture description

* Low-dimensional Illumination Space Representation of Human Faces for Arbitrary Lighting Conditions, A

* low-dimensional local descriptor incorporating TPS warping for image matching, A

* Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data

* Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective

* Low-Dimensional Non-Rigid Image Registration Using Statistical Deformation Models From Semi-Supervised Training Data

* low-dimensional representation of human faces for arbitrary lighting conditions, A

* Low-dimensional representations of shaded surfaces under varying illumination

* low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration, A

* Low-Dimensional Tensor Principle Component Analysis

* Low-Dose X-ray CT Reconstruction via Dictionary Learning

* Low-dose, large-angled cone-beam helical CT data reconstruction using algebraic reconstruction techniques

* Low-Drift Fixed-Point 8X8 IDCT Approximationwith 8-Bit Transform Factors

* low-energy video event data recorder using dual image/video codec, A

* Low-Frequency Magnetic Subsurface Imaging: Reconstructing Conductivity Images of Biological Tissues via Magnetic Measurements

* Low-Grazing-Angle Scattering From 3-D Breaking Water Wave Crests

* Low-Hardware-Cost Motion Estimation with Large Search Range for VLSI Multimedia Processors

* Low-Latency Collaborative HARQ Scheme for Control/User-Plane Decoupled Railway Wireless Networks, A

* Low-latency histogram equalization for infrared image sequences: A hardware implementation

* low-latency peer-to-peer live and VOD streaming system based on scalable video coding, A

* Low-Latency Video Streaming With Congestion Control in Mobile Ad-Hoc Networks

* Low-latency video transmission over lossy packet networks using rate-distortion optimized reference picture selection

* Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems, A

* Low-level computational mono and stereo vision: A Bayesian approach

* Low-level Cortical Perception Model with Applications to Image Analysis, A

* Low-Level Feature Extraction for Edge Detection Using Genetic Programming

* Low-Level Grouping of Straight Line Segments

* Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images

* Low-Level Image Segmentation Based Scene Classification

* Low-level musical descriptors for MPEG-7

* Low-Level Processing of Registered Intensity and Range Data

* Low-Level Processing Techniques In Geophysical Image Interpretation

* Low-level Segmentation of Aerial Images Using Fuzzy Clustering

* Low-Level Segmentation of Multispectral Images via Agglomerative Clustering of Uniform Neighbourhoods

* Low-Level Spatiochromatic Grouping for Saliency Estimation

* Low-level Symbolic Representation of Intensity Changes in an Image, The

* Low-Level Tie Feature Extraction of Mobile Mapping Data (MLS/Images) and Aerial Imagery

* Low-level vision by consensus in a spatial hierarchy of regions

* Low-level vision using an array processor

* low-light image enhancement method for both denoising and contrast enlarging, A

* Low-light imaging method provides highly accurate molecule localization

* Low-light imaging method with visible-band and wide-band image pair

* Low-Noise Fluttering Shutter Camera Handling Accelerated Motion, A

* Low-Overhead Distributed Jamming for SIMO Secrecy Transmission with Statistical CSI

* Low-Pass Filtering of Rate-Distortion Functions for Quality Smoothing in Real-Time Video Communication

* Low-poly style image and video processing

* low-power 490 mpixels/s hardware accelerator for pyramidal decomposition of images, A

* Low-Power and Bandwidth-Efficient Motion Estimation IP Core Design Using Binary Search, A

* Low-power and efficient ambient assistive care system for elders

* Low-Power Buffer Management for Streaming Data

* Low-Power Channel-Adaptive Reconfigurable 4×4 QRM-MLD MIMO Detector

* Low-power context-based adaptive binary arithmetic encoder using an embedded cache

* Low-power data-dependent 8x8 DCT/IDCT for video compression

* Low-Power Data Transfer and Storage Exploration for H.263 Video Decoder System

* Low-power DSP system for real-time correction of fish-eye cameras in automotive driver assistance applications

* Low-Power Fractional-Order Synchronizer for Syncless Time-Sequential Synchronization of 3-D TV Active Shutter Glasses, A

* Low-Power H.264 Deblocking Filter Algorithm and Its SoC Implementation

* Low-Power H.264 Video Compression Architectures for Mobile Communication

* Low-Power Integrated Smart Sensor with on-Chip Real-Time Image Processing Capabilities, A

* Low-power motion vector estimation using iterative search block-matching methods and a high-speed non-destructive CMOS image sensor

* Low-Power Security Modules Optimized for WSNs

* low-power structured light sensor for outdoor scene reconstruction and dominant material identification, A

* low-power system-on-chip for the documentation of road accidents, A

* Low-Power Video-Rate Pyramid VQ Decoder, A

* Low-Power Video Encoder/Decoder Chip Set for Digital VCRs

* Low-Power Video Recording System With Multiple Operation Modes for H.264 and Light-Weight Compression, A

* Low-Power VLSI Architecture for Full-Search Block-Matching Motion Estimation, A

* low-power wireless video sensor node for distributed object detection, A

* Low-quality facial biometric verification via dictionary-based random pooling

* Low-quality fingerprint recognition using a limited ellipse-band-based matching method

* Low-Rank and Sparse Decomposition Based Frame Difference Method for Small Infrared Target Detection in Coastal Surveillance

* Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection, A

* Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification, A

* Low-Rank Approximation for Fast Image Acquisition

* Low-Rank Atlas Image Analyses in the Presence of Pathologies

* Low-rank based compact representation of motion capture data

* Low-Rank Bilinear Classification: Efficient Convex Optimization and Extensions

* Low-Rank Constraint for Parallel Stereo Cameras, A

* Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation

* Low-rank embedding for semisupervised face classification

* Low-rank Fourier interpolation for compressed sensing imaging

* Low-Rank Matrix Approximation with Manifold Regularization

* Low-rank matrix approximations for Coherent point drift

* Low-Rank Matrix Completion Based on Maximum Likelihood Estimation

* Low-rank matrix decomposition in L1-norm by dynamic systems

* Low-Rank Matrix Factorization under General Mixture Noise Distributions

* Low-Rank Matrix Factorization With Adaptive Graph Regularizer

* Low-rank matrix factorization with multiple Hypergraph regularizer

* Low-Rank Matrix Fitting Based on Subspace Perturbation Analysis with Applications to Structure from Motion

* Low-rank matrix recovery with structural incoherence for robust face recognition

* Low-Rank Modeling and Its Applications in Image Analysis

* Low-Rank Modeling of Local k -Space Neighborhoods (LORAKS) for Constrained MRI

* Low-Rank Neighbor Embedding for Single Image Super-Resolution

* Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal

* Low-rank regularized collaborative filtering for image denoising

* Low-rank SIFT: An affine invariant feature for place recognition

* Low-Rank Sparse Coding for Image Classification

* Low-Rank Sparse Learning for Robust Visual Tracking

* Low-Rank Spatio-Temporal Video Segmentation

* Low-Rank Subspace Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery

* Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising

* Low-Rank Tensor Constrained Multiview Subspace Clustering

* Low-rank tensor decomposition based anomaly detection for hyperspectral imagery

* Low-rank, sparse matrix decomposition and group sparse coding for image classification

* Low-Rate and Flexible Image Coding With Redundant Representations

* Low-Rate Reduced Complexity Image Compression using Directionlets

* Low-rate sequence image coding via vector quantization

* Low-Resolution Character Recognition by Video-Based Super-Resolution

* Low-resolution color-based visual tracking with state-space model identification

* Low-resolution face recognition in uses of multiple-size discrete cosine transforms and selective Gaussian mixture models

* Low-Resolution Face Recognition via Coupled Locality Preserving Mappings

* Low-resolution face recognition: a review

* Low-Resolution Face Tracker Robust to Illumination Variations

* Low-Resolution Gait Recognition

* Low-Resolution TV: Subjective Comparison of Interlaced and Noninterlaced Pictures

* Low-Resolution TV: Subjective Effects of Frame Repetition and Picture Replenishment

* Low-Resolution, Degraded Document Recognition Using Neural Networks and Hidden Markov Models

* Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements

* Low Acceptance Rates of Conference Papers Considered Harmful

* Low Altitude Wind Simulation over Mount Saint Helens Using NASA SRTM Digital Terrain Model

* Low and high spatial resolution time series fusion for improved land cover map production

* Low and intermediate level image processing on SYMPATIX, a SIMD parallel computer

* Low Area-time Complexity Averaging Scheme for Thumbnail Generation

* Low Backscattering Targets Classification In Urban Areas, The

* Low bias histogram-based estimation of mutual information for feature selection

* Low Bias Local Intrinsic Dimension Estimation from Expected Simplex Skewness

* Low Bit-Rate Coding of Image Sequences Using Adaptive Regions of Interest

* Low Bit-Rate Compression of Facial Images

* Low Bit-Rate Design Considerations for Wavelet-Based Image-Coding

* Low bit-rate efficient compression for seismic data

* Low Bit-Rate Hybrid Coding Scheme For Progressive Image Transmission, A

* Low Bit-Rate Image Coding Using Adaptive Geometric Piecewise Polynomial Approximation

* Low Bit-rate Image Compression Schemes Based On Vector Quantization

* Low Bit-Rate Image Compression via Adaptive Down-Sampling and Constrained Least Squares Upconversion

* Low bit-rate multimedia communication

* Low Bit-Rate Object-based Multi-view Video Coding using MVC

* Low Bit-Rate Scalable Video Coding with 3-D Set Partitioning in Hierarchical Trees (3-D SPIHT)

* Low Bit-Rate Subband DCT Image Compression

* Low Bit-rate Subband Video Coding Using Context Models

* Low Bit-Rate Video Codec Based on Two-Dimensional Mesh Motion Compensation with Adaptive Interpolation, A

* Low Bit-Rate Video Coding Using Wavelet-Based Fractal Approximation

* Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications

* Low Bit-Rate Video Coding with Implicit Multiscale Segmentation

* Low Bit-Rate Video Coding with Spatiotemporal Geometric Transforms

* Low bit depth representation motion estimation algorithms: a comparative study

* Low Bit Rate-3-D Subband Video Coding Based on the Allocation of Just Noticeable Distortion

* Low bit rate audio-visual communication having improved face and lip region detection

* low bit rate coding algorithm for full motion video signal, A

* Low bit rate colour fractal video

* Low Bit Rate Compression for SAR Image Based on Blocks Reordering and 3D Wavelet Transform

* Low Bit Rate Compression of Facial Images Based on Adaptive Over-Complete Sparse Representation

* Low Bit Rate Hybrid Wavelet-DCT Video Codec, A

* Low Bit Rate Image Coding over Bases

* Low Bit Rate Image Coding with Shift Orthogonal Filter Banks

* Low Bit Rate Image Compression Core for Onboard Space Applications

* Low Bit Rate Image Compression Using Hierarchical Listless Block-Tree DTT Algorithm

* Low bit rate model-assisted H.261-compatible coding of video

* Low bit rate ROI based video coding for HDTV aerial surveillance video sequences

* Low bit rate video coding based on generalized prediction of the pyramid subband decomposition

* Low Bit Rate Video Coding Using DCT-Based Fast Decimation/Interpolation and Embedded Zerotree Coding

* Low bit rate video coding using robust motion vector regeneration in the decoder

* Low bit rate video quality assessment based on perceptual characteristics

* Low bit rate videophone codec for ISDN applications

* Low bit rate, error resilient image communication using nonlinear pre and post-processing and progressive image transmission

* Low bitrate image compression using self-organized kohonen maps

* Low Budget Mobile Laser Scanning Solution Using on Board Sensors and Field Bus Systems of Today's Consumer Automobiles, A

* Low Complexity Adaptive View Synthesis Optimization in HEVC Based 3D Video Coding

* Low Complexity Algorithm for Detecting Rotational Symmetry Based on the Hough Transform Technique, A

* Low Complexity Algorithm for Global Motion Parameter Estimation Targeting Hardware Implementation, A

* Low complexity algorithm for inter-layer residual prediction of H.264/SVC

* low complexity approximation of probabilistic appearance models, A

* low complexity architecture for video coding with overlapped block motion compensation, A

* Low Complexity Channel Estimation Algorithm for TDS-OFDM System, A

* Low complexity concurrent constant modulus algorithm and soft decision directed scheme for blind equalisation

* Low Complexity Cut Detection in the Presence of Flicker

* Low complexity deblocking filter perceptual optimization for the HEVC codec

* Low complexity deblocking method for DCT coded video signals

* Low Complexity Detection of Discrete Cross Differences for Fast H.264/AVC Intra Prediction, A

* Low complexity distributed video coding

* low complexity dual mode edge detector, A

* Low complexity encoder optimization for HEVC

* Low Complexity Equalization of HCM Systems with DPFFT Demodulation over Doubly-Selective Channels

* Low complexity error concealment scheme for intra-frames in H.264/AVC

* Low Complexity Fast Intra Mode Decision Algorithm for H.264/AVC, A

* Low complexity guaranteed fit compound document compression

* low complexity H.261-compatible software video decoder, A

* Low Complexity Hierarchical Prediction Algorithm for H.264/SVC

* Low complexity image interpolation method based on path selection

* Low complexity image matching using color based SIFT

* Low Complexity Image Quality Assessment Using Frequency Domain Transforms

* Low complexity image registration techniques based on integral projections

* Low Complexity Image/Video Super Resolution Using Edge and Nonlocal Self-Similarity Constraint

* Low complexity implementation of slim: HEVC encoder design

* Low Complexity Inter-Mode Selection for H.264

* Low Complexity Interest Point Detector, A

* Low Complexity Iterative Algorithm for Joint Zero Diagonalization, A

* Low Complexity JPEG2000 Rate Control Through Reverse Subband Scanning Order and Coding Passes Concatenation

* Low complexity lossless image compression using efficient context modeling

* Low complexity lossless video compression

* Low complexity M-channel multiple description coding with two-rate predictive coding and staggered quantization

* Low Complexity Macroblock Layer Rate Control Scheme Base on Weighted-Window for H.264 Encoder, A

* Low complexity matching criteria for image/video applications

* Low Complexity Mode Decision and Motion Estimation for H.264/AVC Based Depth Maps Encoding in Free Viewpoint Video

* Low Complexity Mode Decision Method for Spatial Scalability Coding, A

* Low complexity motion estimation algorithm by multiresolution search, for long-term memory motion compensation

* Low Complexity Motion Estimation Based on Spatio-Temporal Correlations and Direction of Motion Vectors

* Low Complexity Motion Segmentation Based on Semantic Representation of Encoded Video Streams, A

* Low complexity multi-view distributed video coding based on JPEG

* Low complexity multiple description coding method for networked video

* low complexity multiresolution approach to image compression using pruned nested tree-structured vector quantization, A

* Low Complexity NSAF Algorithm, A

* Low complexity object detection and tracking with inter-layer graph mapping and intra-layer graph refinement in H.264/SVC bitstreams

* low complexity overcomplete directional image pyramid, A

* Low Complexity Progressive Bitstream Transmission System for Hybrid Channels with Correlated Loss, A

* Low Complexity Resolution Progressive Image Coding Algorithm: Progres (Progressive Resolution Decompression)

* Low complexity shape-adaptive DCT for coding of arbitrarily shaped image segments

* Low Complexity Sign Detection and Text Localization Method for Mobile Applications, A

* Low Complexity Streak Noise Reduction for Mobile TV Using Line Selective Interpolation of Field Information

* Low complexity transform coding for depth maps in 3D video

* Low complexity truncated Gray-coded bit plane matching based multiple candidate motion estimation

* Low complexity unsupervised multi-camera color calibration with application to panoramic video capturing

* low complexity video subband coder for ATM, A

* Low Complexity Wavelet Transform with Point-symmetric Extension at Tile Boundaries, A

* Low computation and low latency algorithms for distributed sensor network initialization

* Low Computation Face Verification Using Class Center Analysis

* Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors, A

* Low computational complexity enhanced zerotree coding for wavelet-based image compression

* Low computational cost improvements of the rate-distortion performance in MPEG-2 rate control

* Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences

* Low cost 3D-modelling of a complex archaeological site using aerial photography in the hinterland of Petra, Jordan

* low cost 3D markerless system for the reconstruction of athletic techniques, A

* Low Cost 3D Tracker for Parallax Barrier Display, A

* Low Cost and Usable Multimodal Biometric System Based on Keystroke Dynamics and 2D Face Recognition

* Low Cost Architecture for Structure Measure Distance Computation

* Low Cost Automatized System for Control Points Capture in Close Range Photogrammetry

* Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment

* low cost design of rate controlled JPEG-LS near lossless image compression, A

* Low Cost Force-Feedback Interaction with Haptic Digital Audio Effects

* Low Cost FPGA-Based Highly Accurate Face Recognition System using Combined Wavelets with Subspace Methods

* Low Cost Incremental Biometric Fusion Strategy for a Handheld Device, A

* Low cost infrared and near infrared sensors for UAVs

* Low cost methodology for 3D modeling and metric description in architectural heritage

* Low cost multi-view video system for wireless channel

* Low cost obstacle detection for smart railway infrastructures

* Low Cost Pre-Coder Design for MIMO AF Two-Way Relay Channel

* low cost RC-Heli UAV for mapping applications, A

* Low Cost Reverse Engineering Techniques for 3D Modelling of Propellers

* Low Cost Robust Blur Estimator

* Low Cost Rokkaku Kite Setup for Aerial Photogrammetric System, A

* Low Cost Surveying Using an Unmanned Aerial Vehicle

* Low Cost Video Coding Scheme Using Texture Synthesis, A

* Low Cost Video Compression Using Fast, Modified Z-Coding of Wavelet Pyramids

* Low Cost Virtual Face Performance Capture Using Stereo Web Cameras

* Low Cost Vision Based Personal Mobile Mapping System

* Low Cost VR Meets Low Cost Multi-touch

* Low delay distributed video coding with refined side information

* Low Delay Foveated Visual Communications over Wireless Channels

* Low delay H.264/AVC bidirectional inter prediction on a GPU

* Low delay streaming of computer graphics

* Low delay Wyner-Ziv coding using optical flow

* Low Density Feature Point Matching for Articulated Pose Identification

* Low Dimensional Adaptive Texture Feature Vectors From Class Distance and Class Difference Matrices

* Low Dimensional Explicit Feature Maps

* Low Dimensional Fluid Motion Estimator, A

* Low Dimensional Procedure for the Characterization of Human Faces

* Low Dimensionality Expression Robust Rejector for 3D Face Recognition, A

* Low discrepancy holographic image sampling

* Low Distortion Transform for Reversible Watermarking

* Low dose CT image reconstruction with learned sparsifying transform

* low energy HEVC sub-pixel interpolation hardware, A

* Low entropy image pyramids for efficient lossless coding

* Low False Negative Filter for Detecting Rare Bird Species From Short Video Segments Using a Probable Observation Data Set-Based EKF Method, A

* Low false positive learning with support vector machines

* Low Frequency Response and Random Feature Selection Applied to Face Recognition

* Low Latency 2D Position Estimation with a Line Scan Camera for Visual Servoing

* Low latency and high throughput dedicated loop of transforms and quantization focusing in the H.264/AVC Intra Prediction

* Low latency DASH based streaming over LTE

* low latency implementation of a non-uniform partitioned convolution algorithm for room acoustic simulation, A

* Low Latency Secondary Transforms for Intra/Inter Prediction Residual

* Low Level Feature Based Neural Network Segmenter for Fully Cursive Handwritten Words, A

* Low Level Image Analysis on an MIMD Architecture

* Low level image partitioning guided by the gradient watershed hierarchy

* Low level image processing operators on FPGA: Implementation examples and performance evaluation

* Low Level Image Segmentation: An Expert System

* Low Level Information Fusion: Multisensor Scene Segmentation Using Learning Automata

* Low Level Motion Events: Trajectory Discontinuities

* Low Level Motion, General Issues

* Low Level Moving-Feature Extraction Via Heat Flow Analogy

* Low Level Recognition of Human Motion

* Low Level Segmentation Using CMOS Smart Hexagonal Image Sensor

* Low Level Tracking of Multiple Objects

* Low Level Vision as the Opportunist Scheduling of Incremental Edge and Region Detection Processes

* Low level vision via switchable Markov random fields

* Low levels of specularity support operational color constancy, particularly when surface and illumination geometry can be inferred

* Low Light Image Enhancement via Sparse Representations

* Low memory implementation of generic hierarchical transforms for parent-children tree (PCT) production and its application in image compression

* Low Memory Implementation of Saliency Map Using Strip-Based Method

* low memory zerotree coding for arbitrarily shaped objects, A

* Low Observable Target Motion Analysis Using Amplitude Information

* Low order dynamics embedding for high dimensional time series

* Low Patch-Rank Interpretation of Texture, A

* Low PMEPR OFDM Radar Waveform Design Using the Iterative Least Squares Algorithm

* Low Power 24 GHz ad hoc Networking System Based on TDOA for Indoor Localization

* low power 6-bit current-steering DAC in 0.18- micro-m CMOS process, A

* Low Power and Low Complexity Compressor for Video Capsule Endoscopy

* Low power DCT using highly scalable multipliers

* Low Power Depth and Velocity from a Passive Moving Sensor

* Low Power Greenhouse Gas Sensors for Unmanned Aerial-Vehicles

* Low Power H.264 Deblocking Filter Hardware Implementations

* Low power HEVC software decoder for mobile devices

* Low Power Lookup Tables for Huffman Decoding

* Low Power Motion Estimation Based on Probabilistic Computing

* Low power parallel surveillance video encoding system based on joint power-speed scheduling

* Low Precision Global Motion Estimation for Video Compression: A Generalized Framework

* Low quality document image modeling and enhancement

* Low Quality String Recognition For Factory Automation

* Low rank and sparse matrix reconstruction with partial support knowledge for surveillance video processing

* Low Rank Global Geometric Consistency for Partial-Duplicate Image Search

* Low Rank Language Models for Small Training Sets

* Low rank matrix recovery via augmented lagrange multiplier with nonconvex minimization

* Low Rank Priors for Color Image Regularization

* Low Rank Representation on Grassmann Manifolds

* Low rank subspace clustering (LRSC)

* Low Rate Uniform Scalar Quantization of Memoryless Gaussian Sources

* Low resolution 3D reconstructions of viruses from X-ray crystal diffraction data

* Low Resolution Character Recognition by Image Quality Evaluation

* Low Resolution Cues for Guiding Saccadic Eye Movements

* Low Resolution Face Recognition Across Variations in Pose and Illumination

* Low resolution face recognition based on support vector data description

* low resolution multi-camera system for person tracking, A

* Low resolution pedestrian detection using light robust features and hierarchical system

* Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification

* Low Resolution QR-Code Recognition by Applying Super-Resolution Using the Property of QR-Codes

* Low resolution raster images

* Low resolution slit-scan pattern recognition applying one-dimensional multiparameter analysis

* Low resolution vehicle re-identification based on appearance features for wide area motion imagery

* Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory

* Low SNR signal time-frequency analyzing method

* Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients

* Low Transmission Overhead Framework of Mobile Visual Search Based on Vocabulary Decomposition, A

* Low visual difference virtual high dynamic range image synthesizer from a single legacy image

* Lower-level Estimates and Interpretation of Visual Motion

* Lower and Upper Bounds for Scaling Factors Used for Integer Approximation of 3D Anisotropic Chamfer Distance Operator

* Lower Bound for Structuring Element Decompositions, A

* Lower Bound for the Fisher Information Measure, A

* lower bound on the sample size needed to perform a significant frequent pattern mining task, A

* Lower Bound to Finding Convex Hulls, A

* Lower Bounds for Bayes Error Estimation

* Lower bounds in pattern recognition and learning

* Lower Dimensional MLE Algorithm for Distributed Source Parameter Estimation, A

* Lower Level and Higher Level Approaches to Content-Based Image Retrieval

* Lower Order Circle and Ellipse Hough Transform

* Lowering Frame-Buffering Requirements of 3-D Wavelet Transform Coding of Interactive Video

* Lowering the Complexity of Multi-view Encoding through Dynamic Segmentation and Registration of Video Object

* Lowpass filtering of rate-distortion functions for quality smoothing for real-time video recording and streaming

* LP-Multiresolution Analysis: How to Reduce Ringing and Sparsify the Error

* LP-Norm IDF for Large Scale Image Search

* lp-norm MTMKL framework for simultaneous detection of multiple facial action units, A

* LP-Norm optimum filters for image recognition. Part I. Algorithms

* LP-Norm optimum filters for image recognition. Part II: performance evaluation

* LP-SR: Approaching Optimal Storage and Retrieval for Video-on-Demand

* LP Norm Design of Stack Filters

* LP norm multiple kernel Fisher discriminant analysis for object and image categorisation

* LPC Based Multispectral Compression Techniques Applied to Optical Imaging Spectrometer Instruments

* LPI adaptive descreening method with Hadamard domain analysis

* LPP and LPP Mixtures for Graph Spectral Clustering

* LPP solution schemes for use with face recognition

* LPSM: Fitting shape model by linear programming

* LQ-bundle adjustment

* Lq-Closest-Point to Affine Subspaces Using the Generalized Weiszfeld Algorithm

* Lq Averaging for Symmetric Positive-Definite Matrices

* LQR spatiotemporal fusion technique for face profile collection in smart camera surveillance, A

* LR-CNN for fine-grained classification with varying resolution

* LR-PET Optimization Strategy for Protection of Scalable Video with Unreliable Acknowledgement

* LROC analysis of detector-response compensation in SPECT

* LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations

* LS-SVM based image segmentation using color and texture information

* LSB-Based Steganography Using Reflected Gray Code

* LSB Matching Revisited

* LSB steganography with usage of Mojette Transform for secret image scrambling

* LSD-SLAM: Large-Scale Direct Monocular SLAM

* LSD: A Fast Line Segment Detector with a False Detection Control

* LSD: a Line Segment Detector

* LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation

* LSH-based semantic dictionary learning for large scale image understanding

* LSI: Latent semantic inference for natural image segmentation

* LSP: Local similarity pattern, a new approach for rotation invariant noisy texture analysis

* LSR based astronomical image denoising via adaptive dictionary learning

* LSS-based registration of stereo thermal-visible videos of multiple people using belief propagation, A

* LSTM-Based Early Recognition of Motion Patterns

* LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework

* LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices

* LTE, The UMTS Long Term Evolution: From Theory to Practice

* LTI-Lib

* LTU Technologies

* LU Decomposition Theorem and Its Implications to the Realization of Two-Dimensional Digital Filters, The

* Lucas-Kanade 20 Years On

* Lucas-Kanade 20 Years On: A Unifying Framework

* Lucas-Kanade 20 Years On: A Unifying Framework: Part 1

* Lucas-Kanade 20 Years On: A Unifying Framework: Part 2

* Lucas-Kanade 20 Years On: A Unifying Framework: Part 3

* Lucas-Kanade 20 Years On: A Unifying Framework: Part 4

* Lucas-Kanade 20 Years On: Part 5

* Lucas-Kanade based entropy congealing for joint face alignment

* Lucas-Kanade without Iterative Warping

* Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods

* LULU Operators and Discrete Pulse Transform for Multidimensional Arrays

* Luma-Chroma Space Filter Design for Subpixel-Based Monochrome Image Downsampling

* Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model

* Lumen Segmentation and Motion Estimation in B-Mode and Contrast-Enhanced Ultrasound Images of the Carotid Artery in Patients With Atherosclerotic Plaque

* Lumigraph, The

* Luminance- and Contrast-Invariant Edge-Similarity Measure, A

* Luminance-Chrominance Model for Image Colorization

* Luminance-Corrected 3D Point Clouds for Road and Street Environments

* Luminance-dependent long-term chromatic adaptation

* Luminance-Hue Specification in the RGB Space

* Luminance adapted skin color modeling for the robust detection of skin areas

* Luminance coding in graph-based representation of multiview images

* Luminance constrained total variation and its application for optimized decoding of JPEG 2000

* Luminance driven sparse representation based demosaicking

* Luminance quasi-preserving color quantization for digital steganography to palette-based images

* Luminescent Microspheres Resolved from Strong Background on an Automated Time-Gated Luminescence Microscopy Workstation

* Lunar Calibration and Performance for S-NPP VIIRS Reflective Solar Bands

* Lunar Cartography: Progress In The 2000s And Prospects For The 2010s

* Lunar Image Classification for Terrain Detection

* Lunar Mini-RF Radars: Hybrid Polarimetric Architecture and Initial Results, The

* Lunar surface crater topology generation using adaptive edge detection algorithm

* Lunar Terrain and Albedo Reconstruction of the Apollo 15 Zone

* Lunar terrain reconstruction using PDEs

* Lund University

* Lung Cancer Detection from Thoracic CT Scans Using 3-D Deformable Models Based on Statistical Anatomical Analysis

* Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach

* Lung Motion Correction on Respiratory Gated 3-D PET/CT Images

* Lung Nodule Classification Using Deep Features in CT Images

* Lung nodule classification utilizing support vector machines

* Lung Nodule Detection using Eye-Tracking

* Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework

* Lung Nodule Modeling: A Data-Driven Approach

* Lung Nodules Detection and Classification

* Lung Parenchyma Segmentation from CT Images Based on Material Decomposition

* Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

* Lung segmentation based on Nonnegative Matrix Factorization

* Lung segmentation in chest radiographs by fusing shape information in iterative thresholding

* Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

* Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference

* Lung Structure Classification Using 3D Geometric Measurements and SVM

* Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model

* Lung Tumor Segmentation Using Electric Flow Lines for Graph Cuts

* Lungs, and Lung Cancer Image Analysis

* LUT-Based AdaBoost for Gender Classification

* Luxland

* Luxomatic: Computer Vision for Puppeteering

* LV contour tracking in MRI sequences based on the generalized fuzzy GVF

* LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography

* LVQ-based Automotive Occupant Classification System, An

* LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease

* LWDOS: Language for Writing Descriptors of Outline Shapes

* LX minimization in geometric reconstruction problems

* Lycurgus Cup: Inverse problem using photographs for characterization of matter

* Lying-pose detection with training dataset expansion

* Lying with Pixels

* Lymph node detection in 3-D chest CT using a spatial prior probability

* Lymphocyte Segmentation Using the Transferable Belief Model

* Lyndon + Christoffel = digitally convex

* Lynx Mobile Mapper For Surveying City Centers And Highways

* Lynx mobile mapper: the new survey technology

* Lynx survey of the urban environment and historical heritage

* Lytro

* LZM in Action: Realtime Face Recognition System

Last update: 7-Sep-16 16:01:02

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