Titles Starting with u

* U-curve: A branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem
* U-Drumwave: An Interactive Performance System for Drumming
* U-NORM Likelihood Normalization in PIN-Based Speaker Verification Systems
* U.S. Geological Survey
* U.S. speed limit sign detection and recognition from image sequences
* U_Boost: Boosting with the Universum
* UACI: Uncertain associative classifier for object class identification in images
* UAS-based automatic bird count of a common gull colony
* UAS for Archaeology: New Perspectives on Aerial Documentation
* UAS Mapping as an alternative for land surveying techniques?
* UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability
* UAV-Based Low-Cost Stereo Camera System for Archaeological Surveys: Experiences from Doliche (Turkey), A
* UAV-Based Monitoring of Pedestrian Groups
* UAV-based Photogrammetric Mapping System for Road Condition Assessment, An
* UAV-Based Photogrammetric Point Clouds: Tree Stem Mapping in Open Stands in Comparison to Terrestrial Laser Scanner Point Clouds
* UAV-based Remote Sensing Of Landslides
* UAV-Borne 3-D Mapping System by Multisensor Integration
* UAV Aerial Photography Technology in Island Topographic Mapping
* UAV Application in Post-Seismic Environment
* UAV Borne Low Altitude Photogrammetry System
* UAV Photogrammetry in Remote Areas: 3D Modeling of Drapham Dzong Bhutan
* UAV Photogrammetry to Monitor Dykes: Calibration and Comparison to Terrestrial Lidar
* UAV Photogrammetry: Block Triangulation Comparisons
* UAV@LGL: Pilotstudie zum Einsatz von UAV im Rahmen der Landesvermessung in Deutschland
* UAVision: A Modular Time-Constrained Vision Library for Color-Coded Object Detection
* UAVS For The Documentation Of Archaeological Excavations
* UB KinFace Database
* Uber die Stetige Abbildung einer Linie auf ein Flachenstck
* Ubiquitous digital photogrammetry by consumer grade digital camera
* Ubiquitous Home: Retrieval of Experiences in a Home Environment
* Ubiquitous Intelligent Sensing System for a Smart Home
* Ubiquitous Interactive Visualization of 3-D Mantle Convection through Web Applications Using Java
* Ubiquitously Supervised Subspace Learning
* UBIRIS database
* UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance, The
* UBIRIS: A Noisy Iris Image Database
* UBM-Based Reference Space for Speaker Recognition, An
* UCD Colour Face Image Database for Face Detection, The
* UCF-ARG
* UCF-iPhone
* UCF Action Recogniton Dataset 101
* UCF Action Recogniton Dataset 50
* UCF Aerial Action Dataset
* UCF Parking Lot Tracking
* UCF Sports Action Dataset
* UCF101: A Dataset of 101 Human Action Classes from Videos in The Wild
* Ufeel: Using haptics and stereo to place landmarks in three-dimensional volumetric images
* UHDB11 Database for 3D-2D Face Recognition
* UHDTV Image Format for Better Visual Experience
* UI Generation for Data Visualisation in Heterogenous Environment
* UKF based multi-component phase estimation in digital holographic Moire
* UKIVA: The UK Industrial Vision Association
* Ukiyo-e Rakkan Retrieval System
* UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification
* Ulcer detection in wireless capsule endoscopy images
* Ultimate Attribute Opening Segmentation with Shape Information
* Ultimate Display: Where Will All the Pixels Come From?, The
* Ultimate Immersive Experience: Panoramic 3D Video Acquisition, The
* Ultra-Fast Parallel Contour Tracing, With Application To Thinning
* Ultra-fast tracking based on zero-shift points
* ultra-fast user-steered image segmentation paradigm: Live wire on the fly, An
* Ultra-Fine Grain Steel's Metallurgical Image Restoration Method Based on Improved Water-Growing
* Ultra-High-Definition Television (Rec. ITU-R BT.2020): A Generational Leap in the Evolution of Television
* Ultra-high-speed digital filtering algorithm for video signal processing
* Ultra-Low-Power Contrast-Based Integrated Camera Node and its Application as a People Counter, An
* Ultra-Low Power QRS Complex Detection Algorithm Based on Down-Sampling Wavelet Transform, An
* Ultra-Rapid Scene Categorization with a Wave of Spikes
* Ultra-wide Baseline Aerial Imagery Matching in Urban Environments
* Ultra-wide Baseline Facade Matching for Geo-localization
* Ultra-wideband continuous-wave random noise arc-SAR
* Ultra-Wideband MIMO Ambiguity Function and Its Factorability
* Ultra-Wideband SAR Interferometry
* Ultra Fast GPU Assisted Face Recognition Based on 3D Geometry and Texture Data
* Ultra fast pattern classification by fuzzy logic
* Ultra Fast Symmetry and SIMD-Based Projection-Backprojection (SSP) Algorithm for 3-D PET Image Reconstruction
* Ultra high-definition video coding using bit-depth reduction with image noise reduction and pseudo-contour prevention
* Ultra High Compression For Weather Radar Reflectivity Data Storage and Transmission
* Ultra High Definition video decoding with Motion JPEG XR using the GPU
* Ultra Wide-Band Channel Characterization Using Generalized Gamma Distributions
* Ultracam Eagle, Details and Insight
* Ultracam Story, The
* Ultrafast Doppler Imaging of Blood Flow Dynamics in the Myocardium
* Ultrafast optic disc localization using projection of image features
* Ultrafast Technique of Impulsive Noise Removal with Application to Microarray Image Denoising
* Ultrahigh-Definition LCOS Projectors
* Ultrahigh-Field MRI Whole-Slice and Localized RF Field Excitations Using the Same RF Transmit Array
* Ultrahigh-Resolution Panoramic Imaging for Format-Agnostic Video Production
* Ultrahigh-Speed TV Commercial Detection, Extraction, and Matching
* Ultramap V3: A Revolution In Aerial Photogrammetry
* Ultramap: The All In One Photogrammetric Solution
* Ultrametric Watersheds
* Ultrascale Visualization of Climate Data
* Ultrashort-baseline Persistent Scatterer Radar Interferometry For Subsidence Detection
* Ultrasonic array imaging based on spatial interpolation
* Ultrasonic Holography Techniques for Localizing and Imaging Solid Objects
* Ultrasonic Image Formation Using Wide Angle Sensor Arrays and Cross-echo Evaluation
* Ultrasonic image formation: implications for the image processing practitioner
* ultrasonic imaging guided medical robot system for microwave ablation therapy, An
* Ultrasonic Imaging
* Ultrasonic liver tissues classification by fractal feature vector based on M -band wavelet transform
* Ultrasonic obstacle detector
* Ultrasonic Periodontal Probing Based on the Dynamic Wavelet Fingerprint
* Ultrasonic pulse shaping with optimal lag filters
* Ultrasonic sensor system for detecting falling objects on railways
* Ultrasonic speckle formation, analysis and processing applied to tissue characterization
* Ultrasonic spectrum analysis for tissue evaluation
* Ultrasonic tomography based on perturbation solutions of the wave equation
* Ultrasonic Visual Sensor for Three-Dimensional Object Recognition Using Neural Networks, An
* Ultrasound-based surgical navigation for percutaneous renal intervention: In vivo measurements and in vitro assessment
* Ultrasound-Driven Kinematic Model of the Heart That Enforces Local Incompressibility, An
* Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
* Ultrasound despeckling for active contour segmentation
* Ultrasound Despeckling for Contrast Enhancement
* Ultrasound Despeckling Using an Adaptive Window Stochastic Approach
* Ultrasound Elastography Based on Multiscale Estimations of Regularized Displacement Fields
* Ultrasound Elastography: A Dynamic Programming Approach
* Ultrasound Image Coding Based on Subband Decomposition and Speckle Synthesis
* Ultrasound Image Denoising by Spatially Varying Frequency Compounding
* Ultrasound image guided patient setup for prostate cancer conformal radiotherapy
* Ultrasound Image Segmentation Using a Point Distribution Model in a Bayesian Framework
* Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation
* Ultrasound Image Segmentation: A Survey
* Ultrasound Imaging Based on Multiple Beamforming with Coded Excitation
* Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation
* Ultrasound Imaging Simulation and Echocardiographic Image Synthesis
* Ultrasound Imaging System for Control of an Automated Carcass Splitting Machine, An
* Ultrasound kidney segmentation with a global prior shape
* Ultrasound measurement of brachial flow-mediated vasodilator response
* Ultrasound Myocardial Tracking with Speckle Reducing Anisotropic Diffusion Assisted Initialization
* Ultrasound Plaque Enhanced Activity Index for Predicting Neurological Symptoms
* Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method
* Ultrasound speckle reduction by directional median filtering
* Ultrasound Speckle Reduction via Super Resolution and Nonlinear Diffusion
* Ultrasound video analysis for understanding infant breastfeeding
* Ultrasound, Ultrasonic, Image Segmentation, Contour Extraction, Contour Motion
* Ultrasound, Ultrasonic, Speckle Removal, Analysis
* UltraSpectal Inc.
* Ultraviolet Fluorescence LiDAR (UFL) as a Measurement Tool for Water Quality Parameters in Turbid Lake Conditions
* Ultrawideband (UWB) Radar Imaging of Building Interior: Measurements and Predictions
* Ultrawideband Gated Step Frequency Ground-Penetrating Radar
* Ultrawideband Radar Images of the Surface Disturbance Produced by a Submerged, Mine-Like Object
* Ultrawideband Synthetic Aperture Radar Landmine Detection
* UMass Ascender System for 3D Site Model Construction, The
* UMass Building Extraction Systems
* UMass Image Understanding Architecture, The
* UMass Progress in 3D Building Model Acquisition
* UMB-DB: A database of partially occluded 3D faces
* UMD Experiments with FRGC Data
* UMD Logo Database
* UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking
* UMIST Face Database, The
* UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction
* UMSM: A Traffic Reduction Method on Multi-View Video Streaming for Multiple Users
* Un)Reliability of video concept detection
* Unambigous Determination of Shape from Photometric Stereo with Unknown Light Sources
* Unambiguous Dynamic Diffraction Patterns for 3D Depth Profile Measurement
* Unambiguous Photometric Stereo Using Two Images
* Unattended Package, Abandoned Luggage, Left Luggage
* Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection, An
* Unbalanced Multiple-Description Video Coding with Rate-Distortion Optimization
* Unbalanced Multiple Description Video Communication Using Path Diversity
* Unbalanced region matching based on two-level description for image retrieval
* Unbiased Active Contour Algorithm for Object Tracking, An
* Unbiased and Intervoxel Watershed Algorithm for 3D Image Segmentation, An
* Unbiased Detector of Curvilinear Structures, An
* Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
* Unbiased Estimation and Statistical Analysis of 3-D Rigid Motion from Two Views
* Unbiased Estimation of Ellipses by Bootstrapping
* Unbiased Evaluation of Handwritten Mathematical Expression Recognition
* Unbiased extraction of lines with parabolic and Gaussian profiles
* Unbiased homomorphic system and its application in reducing multiplicative noise
* unbiased implementation of regularization mechanisms, An
* Unbiased Least-Squares Fitting Of Circular Arcs
* Unbiased look at dataset bias
* Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
* unbiased p-step predictive FIR filter for a class of noise-free discrete-time models with independently observed states, An
* unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation, An
* Unbiased risk estimation for sparse analysis regularization
* Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson-Gaussian Noise, An
* Unbiased Second-Order Prior for High-Accuracy Motion Estimation, An
* Unbounded Motion Optimization by Developmental Learning
* Uncalibrated 1D Camera and 3D Affine Reconstruction of Lines
* Uncalibrated 3D Human Tracking with A PTZ-Camera Viewing A Plane
* Uncalibrated 3D metric reconstruction and flattened texture acquisition from a single view of a surface of revolution
* Uncalibrated Active Stereo for Wide and Dense 3D Data Acquisition
* Uncalibrated and unsynchronized human motion capture: A Stereo Factorization Approach
* Uncalibrated Euclidean reconstruction: a review
* Uncalibrated Factorization Using a Variable Symmetric Affine Camera
* Uncalibrated flatfielding and illumination vector estimationfor photometric stereo face reconstruction
* Uncalibrated Framework for On-line Camera Cooperation to Acquire Human Head Imagery in Wide Areas
* Uncalibrated Interpolation of Rigid Displacements for View Synthesis
* uncalibrated lightfield acquisition system, An
* Uncalibrated Motion Capture Exploiting Articulated Structure Constraints
* Uncalibrated multiple image stereo system with arbitrarily movable camera and projector for wide range scanning
* Uncalibrated narrow baseline augmented reality
* Uncalibrated non-rigid factorisation with automatic shape basis selection
* Uncalibrated Obstacle Detection Using Normal Flow
* Uncalibrated Perspective Reconstruction of Deformable Structures
* Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
* Uncalibrated reconstruction of curved surfaces
* Uncalibrated reconstruction: an adaptation to structured light vision
* Uncalibrated Relief Reconstruction and Model Alignment from Binocular Disparities
* Uncalibrated Stereo Correspondence by Singular Value Decomposition
* Uncalibrated Stereo Hand Eye Coordination
* Uncalibrated Stereo Matching Using DWT
* Uncalibrated stereo rectification for automatic 3d surveillance
* uncalibrated stereo visual servo system, An
* Uncalibrated synthetic aperture for defocus control
* Uncalibrated three-view image rectification
* Uncalibrated two-view metrology
* Uncalibrated View-Synthesis Pipeline, An
* Uncalibrated view synthesis from Relative Affine Structure based on planes parallelism
* Uncalibrated View Synthesis with Homography Interpolation
* Uncalibrated visual servoing from projective reconstruction of control values
* Uncalibrated Visual Servoing in 3D Workspace
* Uncalibrated Visual Servoing
* Uncalibrated Visual Tasks via Linear Interaction
* Uncalibrated X-Ray Stereo Reconstruction
* Uncensored Indoor Positioning
* Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction
* Uncertain Reasoning and Learning for Feature Grouping
* Uncertain Training Data Edition for Automatic Object-Based Change Map Extraction
* Uncertain Views
* Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions
* Uncertainties in Bayesian geometric models
* Uncertainties in Ice-Sheet Altimetry From a Spaceborne 1064-nm Single-Channel Lidar Due to Undetected Thin Clouds
* Uncertainties in Navigation of Elderly People in Towns: The Assistant Project
* Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration
* Uncertainty Analysis for the Classification of Multispectral Satellite Images Using SVMs and SOMs
* Uncertainty analysis of 3D reconstruction from uncalibrated views
* Uncertainty Analysis of Camera Parameters Computed with a 3D Pattern
* Uncertainty Analysis of Image Measurements
* Uncertainty analysis of remote sensing of colored dissolved organic matter: Evaluations and comparisons for three rivers in North America
* Uncertainty Analysis of Soil Moisture and Vegetation Indices Using Aquarius Scatterometer Observations
* Uncertainty Analysis of Some Real Functions for Image Processing Applications, An
* Uncertainty Assessment for Reconstructions Based on Deformable Geometry
* Uncertainty based classification fusion: A soft-biometrics test case
* Uncertainty Driven Multi-scale Optimization
* Uncertainty Driven Probabilistic Voxel Selection for Image Registration
* Uncertainty Estimates for Imager Reference Inter-Calibration With CLARREO Reflected Solar Spectrometer
* Uncertainty Estimates for Polyhedral Object Recognition
* Uncertainty Estimation by Convolution Using Spatial Statistics
* Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap
* Uncertainty in Interpretation of Range Imagery
* Uncertainty in Object Pose Determination with Three Light-Stripe Range Measurements
* Uncertainty in Pose Estimation: A Bayesian Approach
* Uncertainty in the output of artificial neural networks
* Uncertainty Management for Rule-Based Systems with Applications to Image Analysis
* Uncertainty Management in Seismic Vulnerability Assessment Using Granular Computing Based on Covering of Universe
* Uncertainty Measures for Assessing the Attribute Accuracy of Objected-Based Classification of Remotely Sensed Imagery
* Uncertainty minimization in multi-sensor localization systems using model selection theory
* Uncertainty Minimization in the Localization of Polyhedral Objects
* Uncertainty Model of Stereo Vision and Its Application to Vision Motion Planning of Robot, An
* Uncertainty Modeling and Model Selection for Geometric Inference
* Uncertainty modelling using Dempster-Shafer theory for improving detection of weld defects
* Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
* Uncertainty of Features in Planar Object Recognition and a New Classifier
* Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing
* Uncertainty Penalized Weighted Least Squares Framework for PET Reconstruction Under Uncertain System Models
* Uncertainty Principle and Ideal Atomic Decompositions
* Uncertainty Principle in Image Processing, The
* Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties, The
* Uncertainty Propagation and the Matching of Junctions as Feature Groupings
* Uncertainty Propagation in Model-Based Recognition
* Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web
* Uncertainty Relation for Resolution in Space, Spatial Frequency, and Orientation Optimized by 2D Visual Cortical Filters
* Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition
* Uncertainty visualization using HDR volume rendering
* uncompressed benchmark image dataset for colour imaging, An
* Unconditionally provably secure cancellable biometrics based on a quotient polynomial ring
* Unconstrained Automatic Image Matching Using Multiresolutional Critical Point Filters
* Unconstrained Benchmark Urdu Handwritten Sentence Database with Automatic Line Segmentation, An
* Unconstrained Biometric Identification: Emerging Technologies
* Unconstrained face recognition using MRF priors and manifold traversing
* Unconstrained Face Recognition
* Unconstrained Farsi handwritten word recognition using fuzzy vector quantization and hidden Markov models
* Unconstrained free-viewpoint video coding
* Unconstrained Handprint Recognition Using a Limited Lexicon
* Unconstrained Handwriting Recognition Applied to the Processing of Bank Cheques
* unconstrained handwriting recognition system, An
* Unconstrained handwritten character recognition based on fuzzy logic
* Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
* Unconstrained handwritten document retrieval
* Unconstrained Japanese Address Recognition Using a Combination of Spatial Information and Word Knowledge
* Unconstrained logo detection in document images
* Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest
* Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video coding
* Unconstrained Multiphase Thresholding Approach for Image Segmentation, An
* Unconstrained Multiple-People Tracking
* Unconstrained numeral pair recognition using enhanced error correcting output coding: a holistic approach
* Unconstrained periocular biometric acquisition and recognition using COTS PTZ camera for uncooperative and non-cooperative subjects
* Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models
* Unconstrained seal imprint verification using attributed stroke graph matching
* Unconstrained Structural Similarity-Based Optimization
* Uncontrolled Modulation Imaging
* Uncooperative gait recognition by learning to rank
* Uncorrelated discriminant simplex analysis for view-invariant gait signal computing
* Uncorrelated discriminant vectors using a kernel method
* Uncorrelated Fisherface Approach for Face and Palmprint Recognition, An
* Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion
* Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion
* Uncorrelated trace ratio linear discriminant analysis for undersampled problems
* Uncovered Background Prediction in Interframe Coding
* Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application
* Uncovering non-verbal semantic aspects of collaborative meetings: iterative design and evaluation of the Meeting Miner
* Uncovering vein patterns from color skin images for forensic analysis
* UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection
* Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model, The
* Undecimated Haar thresholding for poisson intensity estimation
* Undecimated wavelet based speckle reduction for SAR images
* Undecimated Wavelet Decomposition and its Reconstruction, The
* Undecimated Wavelet Transform-Based Image Interpolation
* undecimated wavelet transform based denoising, PPCAa based pulse modeling and detection-classification of PD signals, An
* Undecoded Coefficients Recovery in Distributed Video Coding by Exploiting Spatio-Temporal Correlation: A Linear Programming Approach
* Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators
* Underdetermined Blind Source Separation in Single Mixtures Signal
* Underexposed Image Correction Via Approximation of the Scene Radiance Function
* Underground-Mining Detection System Based on DInSAR, An
* Underline detection and removal in a document image using multiple strategies
* Underline Removal on Old Documents
* Undersampled Boundary Pre-/Postfilters for Low Bit-Rate DCT-Based Block Coders
* Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models
* Understanding a Simple Cartoon Film by a Computer Vision System
* Understanding Affective Content of Music Videos through Learned Representations
* Understanding and analyzing a large collection of archived swimming videos
* Understanding and evaluating blind deconvolution algorithms
* Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring
* Understanding and predicting importance in images
* Understanding and Recreating Visual Appearance Under Natural Illumination
* Understanding and simplifying the structural similarity metric
* Understanding and Structure Analyzing for Online Handwritten Chemical Formulas, The
* Understanding Assembly Illustrations in An Assembly Manual Without Any Model of Mechanical Parts
* Understanding Bayesian Rooms Using Composite 3D Object Models
* Understanding Bicycle Dynamics and Cyclist Behavior From Naturalistic Field Data (November 2012)
* Understanding Blind Deconvolution Algorithms
* Understanding Blood-Flow Dynamics: New Challenges for Visualization
* Understanding Blood Cell Motion
* Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
* Understanding Changes and Deformations on Multi-Temporal Rock Face Point Clouds
* Understanding Cognitive and Affective States Using Eyelid Movements
* Understanding Collective Activities of People from Videos
* Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
* Understanding Compressive Sensing and Sparse Representation-Based Super-Resolution
* Understanding Critical Factors in Appearance-Based Gender Categorization
* Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image
* Understanding document analysis and understanding (through modeling)
* Understanding drivers' perspective on parking guidance information
* Understanding dyadic interactions applying proxemic theory on video-surveillance trajectories
* Understanding dynamic scenes based on human sequence evaluation
* Understanding dynamic scenes
* Understanding Effects of Cognitive Load from Pupillary Responses Using Hilbert Analytic Phase
* Understanding egocentric activities
* Understanding Engineering Drawings
* Understanding Evidential Reasoning
* Understanding Expressive Action
* Understanding Gestalt Cues and Ecological Statistics Using A Database of Human Segmented Images
* Understanding gestures with systematic variations in movement dynamics
* Understanding Hand Gestures Using Approximate Graph Matching
* Understanding Handwriting
* Understanding Handwritten Text in a Structured Environment
* Understanding High-Level Semantics by Modeling Traffic Patterns
* Understanding human behavior from motion imagery
* Understanding Human Behaviors Based on Eye-Head-Hand Coordination
* Understanding human interactions with track and body synergies (TBS) captured from multiple views
* Understanding Human Motion Patterns
* Understanding Human Motion: A Historic Review
* Understanding Image Intensities
* Understanding Image Quality
* Understanding image structure from a new multi-scale representation of higher order derivative filters
* Understanding Images of Graphical User Interfaces: A New Approach to Activity Recognition for Visual Surveillance
* Understanding images of groups of people
* Understanding Images: Finding Meaning in Digital Imagery
* Understanding In-Plane Face Rotations Using Integral Projections
* Understanding Indoor Scenes Using 3D Geometric Phrases
* Understanding inexplicit utterances using vision for helper robots
* Understanding Interactions and Guiding Visual Surveillance by Tracking Attention
* Understanding Internal Representations through Hidden Unit Senstivity Analysis
* Understanding Internal Wave-Wave Interaction Patterns Observed in Satellite Images of the Mid-Atlantic Bight
* Understanding Internet Video sharing site workload: A view from data center design
* Understanding Kin Relationships in a Photo
* Understanding Language Through Vision
* Understanding leaves in natural images: A model-based approach for tree species identification
* Understanding Line Drawings of Scenes with Shadows
* Understanding Manipulation in Video
* Understanding Maps
* Understanding mathematical expressions using procedure-oriented transformation
* Understanding Microvessels in Two and Three Dimensions
* Understanding Multi-Articled Documents
* Understanding Natural Textures
* Understanding Noise Sensitivity in Structure from Motion
* Understanding Noise: The Critical Role of Motion Error in Scene Reconstruction
* Understanding Object Configurations Using Range Images
* Understanding Object Motion
* Understanding Object Motion: Recognition, Learning And Spatiotemporal Reasoning
* Understanding Objects from Slices
* Understanding Objects in Detail with Fine-Grained Attributes
* Understanding Objects with Curved Surfaces from a Single Perspective View of Boundaries
* Understanding of Human Images
* Understanding of human motion, actions and interactions
* understanding of muscle fibre images, An
* Understanding of ridge-valley lines on image-intensity surfaces in scale-space
* Understanding of spatial gestural motor space: A study on cursorless absolute freehand pointing on large displays
* Understanding People Pointing: The Perseus System
* Understanding phase maps in MRI: a new cutline phase unwrapping method
* Understanding Popout through Repulsion
* Understanding Popout: Pre-attentive Segmentation through Nondirectional Repulsion
* Understanding pose discrimination in similarity space
* Understanding Positioning from Multiple Images
* Understanding Purposeful Human Motion
* Understanding Road Scenes Using Visual Cues and GPS Information
* Understanding scenes on many levels
* Understanding Shape, II: Symmetry
* Understanding Shape: Angles and Sides
* Understanding shape: perspectives from natural and machine vision
* Understanding Synthetic Aperature Radar Images
* Understanding the 3D layout of a cluttered room from multiple images
* Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation
* Understanding the Behavior of SFM Algorithms: A Geometric Approach
* Understanding the Characteristics of Internet Short Video Sharing: A YouTube-Based Measurement Study
* Understanding the Effect of Bias in Fiducial Localization Error on Point-Based Rigid-Body Registration
* Understanding the External Links of Video Sharing Sites: Measurement and Analysis
* Understanding the Hough Transform: Hough Cell Support and Its Utilization
* Understanding the impact of image quality on segmentation accuracy
* Understanding the Impact of Video Quality on User Engagement
* Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features
* Understanding the page logical structure
* Understanding The Past, Managing The Future: Remotely sensed analysis of the urban sprawl of Istanbul for supporting decision making for a sustainable future
* Understanding the Relationship Between the Optimization Criteria in Two-View Motion Analysis
* Understanding the Semantics of Media
* Understanding the Shape Properties of Trihedral Polyhedra
* Understanding the structure of diffusive scale-spaces
* Understanding the twin-image problem in phase retrieval
* Understanding Three-View Drawings Based on Heuristics
* Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms
* Understanding vehicle motion via spatial integration of intensities
* Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video
* Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
* Understanding Vision
* Understanding visual behaviour, Special Issue Introduction
* Understanding visual dictionaries via Maximum Mutual Information curves
* Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data
* Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
* Underwater 3D imaging by FFT dynamic focusing beamforming
* Underwater 3D Mapping: Experiences and Lessons learned
* Underwater Acoustic Channel Blind Identification Based on Matrix Outer-Product Decomposition Algorithm
* Underwater buried object recognition using wavelet packets and Fourier descriptors
* Underwater Camera Calibration Using Wavelength Triangulation
* Underwater Camera Calibration
* Underwater Computer Vision and Pattern Recognition
* Underwater Image Enhancement by Wavelength Compensation and Dehazing
* Underwater image enhancement using guided trigonometric bilateral filter and fast automatic color correction
* Underwater Image Enhancement: Using Wavelength Compensation and Image Dehazing (WCID)
* Underwater Imaging with a Moving Acoustic Lens
* Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree
* Underwater Mine Classification with Imperfect Labels
* Underwater navigation by video sequence analysis
* Underwater Passive Location Technology Using Dummy Time-Reversal Mirror
* Underwater sensing with omni-directional stereo camera
* Underwater vegetation detection in high frequency sonar images: A preliminary approach
* Underwater Video Mosaicing for Seabed Mapping
* Underwater Video Mosaics as Visual Navigation Maps
* Underwater Vision Workshop
* Undesirable effects of output normalization in multiple classifier systems
* Undetectable image tampering through JPEG compression anti-forensics
* Undistorted Projection onto Dynamic Surface
* Undoing Page Curl Distortion Using Applicable Surfaces
* Undoing Paper Curl Distortion Using Applicable Surfaces
* Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification
* Undoing the Damage of Dataset Bias
* Undue influence: Mitigating range-intensity coupling in AMCW flash lidar using scene texture
* Unequal-arm adaptive Rood pattern search for fast block-matching motion estimation in the JVT/H.26L
* Unequal channel error protection of multiple description codes for wireless media streaming
* Unequal channel protection of multiple description codes for wireless broadcast applications
* Unequal Erasure Protection Technique for Scalable Multistreams
* Unequal Error Protection and Progressive Decoding for JPEG2000
* Unequal Error Protection for Foveation-based Error Resilience Over Mobile Networks
* Unequal error protection for motion compensated video streaming over the internet
* Unequal error protection for MPEG-2 video transmission over wireless channels
* Unequal Error Protection for Robust Streaming of Scalable Video Over Packet Lossy Networks
* Unequal error protection for transmission of JPEG2000 codestreams over noisy channels
* Unequal Error Protection of MPEG-4 Compressed Video
* Unequal Error Protection Techniques Based on Wyner-Ziv Coding
* Unequal Error Protection Using Convolutional Codes for PCA-Coded Images
* Unequal Error Protection Using Fountain Codes With Applications to Video Communication
* Unequal Length First-Order Linear-Phase Filter Banks for Efficient Image Coding
* Unequal loss-protected multiple description coding of scalable source streams using a progressive approach
* Unequal Loss Protection for H.263 Compressed Video
* Unequal loss protection for robust transmission of motion compensated video over the internet
* Unequal Power Allocation for JPEG Transmission Over MIMO Systems
* Unequal Priority Arrangement for Delivering Streaming Videos over Differentiated Service Networks
* Unequal Protection of Video Data According to Slice Relevance
* unequally protected Distributed Compressed Video Sensing algorithm, An
* Unequally protected SPIHT video codec for low bit rate transmission over highly error-prone mobile channels
* Unexpected Human Behavior Recognition in Image Sequences Using Multiple Features
* Unexpected Spatial Patterns in Exponential Family Auto Models
* Unexploded Ordnance Detection and Mitigation
* Unfolding a Face: From Singular to Manifold
* Unfolding an Indoor Origami World
* Unfolding the Cerebral Cortex Using Level Set Methods
* Unfolding warping for object recognition
* Unforced Image Partitioning by Weighted Pyramid Linking
* Ungrammatical grammar in pattern recognition
* Uni-orthogonal Nonnegative Tucker Decomposition for Supervised Image Classification
* Unideal Iris Segmentation Using Region-Based Active Contour Model
* Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
* Unification and Integration of Visual Modules: An Extension of the Marr Paradigm
* unification framework for tree and block wavelet encoders, A
* Unification of Detection, Tracking, and Recognition for Millimeter Wave and Infrared Sensors, The
* Unification of Distance and Volume Optimization in Surface Simplification
* Unification of Evidence Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features
* Unification of image fusion and super-resolution using jointly trained dictionaries and local information contents
* Unification of Multichannel Motion Feature Using Boolean Polynomial
* Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part I: Binary Filters
* Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part II: Gray-Scale Filters
* Unification Scheme for 3D Surface Reconstruction Using Physically Based Models
* unified 2D-3D video scene change detection framework for mobile camera platforms, A
* Unified 3D face and ear recognition using wavelets on geometry images
* Unified 3D Models for Multisensor Image Synthesis
* Unified Access to Media Metadata on the Web
* unified active and semi-supervised learning framework for image compression, A
* unified adaptive approach to accurate skin detection, A
* Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation, A
* Unified Algebraic Approach to 2-D and 3-D Motion Segmentation, A
* Unified algorithm to generate Walsh functions in four different orderings and its programmable hardware implementations
* unified and complexity scalable entropy coding scheme for video compression, A
* Unified and Efficient Approach for Free-form Deformable Registration, A
* unified and pipelined hardware architecture for implementing intra prediction in HEVC, A
* Unified Anomaly Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm
* Unified Approach Combining Photometric and Geometric Information for Pose Estimation, A
* unified approach for a simultaneous and cooperative estimation of defocus blur and spatial shifts, An
* unified approach for automatic camera calibration from vanishing points, A
* Unified Approach for Coding and Interpreting Face Images, A
* Unified Approach for Combining ASM into AAM, A
* Unified approach for constructing multiwavelets with approximation order using refinable super-functions
* Unified Approach for Digital Image Inpainting Using Bounded Search Space, A
* Unified Approach for Early-Phase Image Understanding Using a General Decision Criterion
* Unified Approach for EIT Imaging of Regional Overdistension and Atelectasis in Acute Lung Injury, A
* Unified Approach for Filtering and Edge Detection in Noisy Images, A
* Unified Approach for Image Segmentation Using Exact Statistics, A
* Unified Approach for Modeling Longitudinal and Failure Time Data, with Application in Medical Monitoring, A
* unified approach for motion analysis and view synthesis, A
* Unified Approach for Registration and Depth in Depth from Defocus, A
* Unified Approach of Bit-Rate Control for Binary and Gray-Level Shape Sequences Coding, A
* Unified approach to absolute radiometric calibration in the solar-reflective range
* unified approach to autofocus and alignment for pattern localization using hybrid weighted Hausdorff distance, A
* unified approach to background adaptation and initialization in public scenes, A
* Unified Approach to Boundary Perception: Edges, Textures and Illusory Contours, A
* Unified Approach to Calibrate a Network of Camcorders and ToF cameras, A
* Unified Approach to Camera Fixation and Vision-Based Road Following, A
* Unified Approach to Detecting Spatial Outliers, A
* Unified Approach to Detection and Identification of Commercial Films by Temporal Occurrence Pattern
* unified approach to detection of shot boundaries and subshots in compressed video, A
* Unified Approach to Diffusion Direction Sensitive Slice Registration and 3-D DTI Reconstruction From Moving Fetal Brain Anatomy, A
* Unified Approach to Feature Selection and Learning in Unsupervised Environments, A
* Unified Approach to Gradual Shot Transition Detection, A
* Unified Approach to Iconic Indexing, Retrieval, and Maintenance of Spatial Relationships in Image Databases, A
* Unified approach to image distortion
* Unified Approach to Image Distortion: D-U and U-D Models
* Unified Approach to Image Matching and Segmentation in Stereo, Motion, and Object Recognition via Recovery of Epipolar Geometry, A
* unified approach to lapped orthogonal transforms, A
* Unified Approach to Model-Based and Model-Free Visual Servoing, An
* Unified Approach to Moving Object Detection in 2D and 3D Scenes, A
* Unified Approach to Noise Removal, Image-Enhancement, and Shape Recovery, A
* Unified Approach to Noniterative Linear Signal Restoration, A
* Unified Approach to Optimal Image Interpolation Problems Based On Linear Partial Differential Equation Models, A
* Unified Approach to Pattern Analysis, A
* unified approach to pattern recognition, A
* Unified Approach To Real-time, Multi-resolution, Multi-baseline 2d View Synthesis And 3d Depth Estimation Using Commodity Graphics Hardware, A
* unified approach to restoration, deinterlacing and resolution enhancement in decoding MPEG-2 video, A
* Unified Approach to Restoration, Deinterlacing and Superresolution of Mpeg-2 Decoded Video, A
* unified approach to salient object detection via low rank matrix recovery, A
* Unified Approach to Segmentation and Categorization of Dynamic Textures, A
* unified approach to self-calibration of terrestrial laser scanners, A
* Unified Approach to Shot Change Detection and Camera Motion Characterization, A
* unified approach to statistical tomography using coordinate descent optimization, A
* Unified Approach to Superresolution and Multichannel Blind Deconvolution, A
* Unified Approach to the Change of Resolution: Space and Gray Level, A
* Unified Approach to the Linear Camera Calibration Problem, A
* unified approach to the recognition of complex actions from sequences of zone-crossings, A
* Unified Approach to the Recognition of Expected and Unexpected Geon-Based Objects
* unified approach to the segmentation of grey-level and dot-pattern images, A
* Unified Approach to Threat Assessment and Control for Automotive Active Safety, A
* Unified Approach to Video Face Detection, Tracking and Recognition, A
* Unified Approach to Volumetric Registration and Integration of Multiple Range Images, A
* unified architecture for real-time video-coding systems, A
* unified architecture for the detection and classification of license plates, A
* unified balanced approach to multichannel blind deconvolution, A
* Unified Bayesian Framework for Adaptive Visual Tracking, A
* unified Bayesian framework for face recognition, A
* Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution
* Unified Building Model for 3D Urban GIS, A
* Unified Bundling and Registration of Brain White Matter Fibers
* Unified Calibration Approach For Generic Cameras, An
* Unified Camera Calibration Using Geometry and Blur of Feature Points, A
* Unified complexity model for H.264/AVC video processing on mobile platform
* Unified Computation of Strict Maximum Likelihood for Geometric Fitting
* Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI, A
* Unified Computational Theory for Motion Transparency and Motion Boundaries Based on Eigenenergy Analysis, A
* unified context assessing model for object categorization, A
* Unified Contour-Pixel Model for Figure-Ground Segmentation, A
* Unified Crowd Segmentation
* unified CSF-based framework for edge detection and edge visibility, A
* Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves, A
* Unified Data Embedding and Scrambling Method, A
* Unified decision combination framework
* Unified depth intra coding for 3D video extension of HEVC
* Unified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar
* Unified Detection and Tracking of Instruments during Retinal Microsurgery
* Unified detection of skewed rotation, reflection and translation symmetries from affine invariant contour features
* Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation
* unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data, A
* Unified Direct Visual Tracking of Rigid and Deformable Surfaces Under Generic Illumination Changes in Grayscale and Color Images
* Unified Distance Transform Algorithm and Architecture, A
* Unified dual for bi-class SVM approaches
* Unified Energy Minimization Framework for Model Fitting in Depth, A
* Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging
* unified extreme learning machines and discriminative random fields for automatic knee cartilage and meniscus segmentation from multi-contrast MR images, The
* Unified Face Analysis by Iterative Multi-output Random Forests
* Unified Factorization Algorithm for Points, Line Segments and Planes with Uncertainty Models, A
* Unified feature analysis in JPEG and JPEG 2000-compressed domains
* Unified Feature and Instance Selection Framework Using Optimum Experimental Design, A
* Unified Focusing Algorithm for Several Modes of SAR Based on FrFT, A
* unified formalism for video descriptors, A
* Unified Formulation of a Class of Image Thresholding Techniques
* Unified Formulation of Invariant Point Pattern Matching, A
* Unified formulation of linear discriminant analysis methods and optimal parameter selection
* Unified forward+inverse transform architecture for HEVC
* Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering from Bleed-Through, A
* Unified Framework for 3D Hand Tracking, A
* unified framework for alignment and correspondence, A
* Unified Framework for Atlas Based Brain Image Segmentation and Registration, A
* Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation, A
* Unified Framework for Automated Iris Segmentation Using Distantly Acquired Face Images
* Unified Framework For Bases, Frames, Subspace Bases, and Subspace Frames, A
* Unified Framework for Biometric Expert Fusion Incorporating Quality Measures, A
* Unified framework for colourising corrupted image
* Unified Framework for Consistent 2-D/3-D Foreground Object Detection, A
* Unified Framework for Detecting Groups and Application to Shape Recognition, A
* unified framework for document restoration using inpainting and shape-from-shading, A
* unified framework for event summarization and rare event detection, A
* Unified Framework for General Compact and Quad Polarimetric SAR Data and Imagery Analysis, A
* unified framework for generalized Linear Discriminant Analysis, A
* Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation, A
* Unified Framework for Image Retrieval Using Keyword and Visual Features, A
* Unified Framework for Indexing and Matching Hierarchical Shape Structures, A
* Unified Framework for Line Extraction in Dioptric and Catadioptric Cameras, A
* unified framework for locating and recognizing human actions, A
* Unified Framework for MAP Estimation in Remote Sensing Image Segmentation, A
* Unified Framework for Modern Synthetic-Aperture Imaging Algorithms
* unified framework for multi-sensor HDR video reconstruction, A
* Unified Framework for Multi-target Tracking and Collective Activity Recognition, A
* unified framework for multimodal retrieval, A
* Unified Framework for Object Retrieval and Mining, A
* unified framework for peak detection and alignment: Application to HR-MAS 2D NMR spectroscopy, A
* Unified Framework for Performance Evaluation of 3-D Reconstruction Techniques, A
* Unified Framework for Probabilistic Analysis and Extraction of Video Content, A
* unified framework for quasi-linear bundle adjustment, A
* Unified Framework for Recognizing Handwritten Chemical Expressions, A
* Unified framework for representing and ranking
* Unified Framework for Robust Estimation of Brain Networks From fMRI Using Temporal and Spatial Correlation Analyses
* Unified Framework for Scene Illuminant Estimation, A
* Unified Framework for Segmentation-Assisted Image Registration, A
* unified framework for semi-supervised dimensionality reduction, A
* unified framework for spatiotemporal salient region detection, A
* unified framework for spectral domain prediction and end-to-end distortion estimation in scalable video coding, A
* Unified Framework for Subspace Face Recognition, A
* Unified Framework for Symbol Segmentation and Recognition of Handwritten Mathematical Expressions, A
* Unified Framework for Tracking through Occlusions and across Sensor Gaps, A
* unified framework for uncertainty propagation in automatic shape tracking, A
* Unified Framework for Wavelet Transforms Based on the Lifting Scheme, A
* unified framework for web video topic discovery and visualization, A
* Unified Framework of Subspace and Distance Metric Learning for Face Recognition, A
* Unified Framework to Assess Myocardial Function from 4D Images, A
* Unified Framework to Recover 3-D Surfaces by Combining Image-Based and Externally-Supplied Constraints, A
* Unified Frequency Domain Analysis of Lightfield Cameras
* Unified fusion rules for multisensor multihypothesis network decision systems
* Unified Gradient-Based Approach for Combining ASM into AAM, A
* unified gradient domain method for seamless image processing, A
* Unified graph matching in Euclidean spaces
* Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos, A
* Unified Graphics Rendering Pipeline for Autostereoscopic Rendering, A
* Unified Hybrid Terrain Representation Based on Local Convexifications
* Unified Image Registration Framework for ITK, A
* unified image retrieval framework on local visual and semantic concept-based feature spaces, A
* unified information-theoretic approach to the correspondence problem in image registration, A
* unified learning framework for object detection and classification using nested cascades of boosted classifiers, A
* unified learning framework for real time face detection and classification, A
* unified linear fitting approach for singular and nonsingular 3D quadrics from occluding contours, A
* Unified Loop Closing and Recovery for Real Time Monocular SLAM
* Unified Loop Filter for Video Compression
* Unified LZ and Hybrid Coding for Compound Image Partial-Lossless Compression, A
* Unified Mathematical Form of the Walsh-Hadamard Transform for Lossless Image Data-Compression, A
* Unified Memory-based Approach to Cut, Dissolve, Key Frame and Scene Analysis, A
* Unified Method Based on Wavelet Transform and C-V Model for Crack Segmentation of 3D Industrial CT Images, A
* unified method for optimizing linear image restoration filters, A
* Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants, A
* Unified Microwave Radiative Transfer Model for General Planar Stratified Media: Slab Formulation, A
* Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models, A
* unified model for activity recognition from video sequences, A
* Unified model for omnidirectional vision using the conformal geometric algebra framework
* Unified Model for Probabilistic Principal Surfaces, A
* Unified Model of GMRF and MOG for Image Segmentation, A
* unified model of spectacular and diffuse reflectance for rough, glossy surfaces, A
* Unified Modeling of Nonhomogeneous 3D Objects for Thermal and Visual Image Synthesis
* Unified multiframe super-resolution of matte, foreground, and background
* Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model
* Unified Optical-Flow Field Approach To Motion Analysis from a Sequence of Stereo Images
* Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies
* Unified Optimization Based Learning Method for Image Retrieval, A
* Unified Performance Evaluation for OCR Zoning: Calculating Page Segmentation's Score, That Includes Text Zones, Tables and Non-text Objects
* unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving, A
* Unified Perspective on Computational Techniques for the Measurement of Visual Motion, A
* unified prediction method for heterogeneous weather radar patterns, A
* Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
* Unified Probabilistic Approach Modeling Relationships between Attributes and Objects, A
* Unified Probabilistic Approach to Feature Matching and Object Segmentation, A
* unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models, A
* Unified Probabilistic Framework for Facial Activity Modeling and xoUnderstanding, A
* unified probabilistic framework for measuring the intensity of spontaneous facial action units, A
* Unified probabilistic framework for simultaneous detection and tracking of multiple objects with application to bio-image sequences
* Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding, A
* Unified Projection Method for Fast Search of Vector Quantization, A
* unified rate-distortion analysis framework for transform coding, A
* Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features
* Unified Recognition and Stereo Vision System for Size Assessment of Fish, A
* unified reconstruction framework for both parallel-beam and variable focal-length fan-beam collimators by a Cormack-type inversion of exponential Radon transform, A
* unified rectification method for single viewpoint multi-camera system, A
* Unified Relevance Feedback Framework for Web Image Retrieval, A
* unified representation for interactive 3D modeling, A
* Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration, A
* unified setting for projections in pattern recognition, A
* unified space decomposition formulation of iterative methods in image deconvolution, A
* unified spatio-temporal articulated model for tracking, A
* Unified Spectral-Domain Approach for Saliency Detection and Its Application to Automatic Object Segmentation, A
* Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration, A
* Unified Stereo-based 3d Head Tracking Using Online Illumination Modeling
* Unified Stochastic Model for Detecting and Tracking Faces, A
* Unified Strategy for Landing and Docking Using Spherical Flow Divergence, A
* Unified Strategy to Deal with Different Natures of Reject, A
* unified structural-stochastic model for texture analysis and synthesis, A
* Unified subspace analysis for face recognition
* Unified System For Object Detection, Texture Recognition, and Context Analysis Based on the Standard Model Feature Set, A
* Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition, A
* Unified Target Detection and Tracking Using Motion Coherence
* unified tensor framework for face recognition, A
* Unified Tensor Modeling for Blind Receivers in Multiuser Uplink Cooperative Systems
* Unified Text Extraction Method for Instructional Videos, A
* Unified Texture Management for Arbitrary Meshes
* Unified Texture Model Based on a 2-D Wold Like Decomposition, A
* Unified Theory for Steerable and Quadrature Filters, A
* Unified Theory of Structure from Motion, A
* Unified Theory of Uncalibrated Stereo for Both Perspective and Affine Cameras
* Unified Topological Framework for Digital Imaging, A
* Unified Traffic Model for MPEG-4 and H.264 Video Traces, A
* Unified Training of Feature Extractor and HMM Classifier for Speech Recognition
* Unified Transition Detection Based on Bipartite Graph Matching Approach, An
* unified tree-based framework for joint action localization, recognition and segmentation, A
* Unified Video Annotation via Multigraph Learning
* Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis, A
* unified view of class-selection with probabilistic classifiers, A
* Unified View of Rank-based Decision Combination, A
* Unified View of Two-Dimensional Principal Component Analyses, A
* Unified View on Deformable Shape Factorizations, A
* Unified, Multiresolution Framework for Automatic Target Recognition, A
* Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
* Uniform Bayesian Framework for Integration, A
* Uniform Color Scale Applications to Computer Graphics
* Uniform color spaces and natural image statistics
* Uniform Color Spaces for Color Sensors
* Uniform depth region-based registration between colour channels and its application to single camera-based multifocusing
* Uniform distribution of points on a hyper-sphere with applications to vector bit-plane encoding
* Uniform Distribution, Distance and Expectation Problems for Geometric Features Processing
* Uniform Framework for Estimating Illumination Chromaticity, Correspondence, and Specular Reflection, A
* Uniform Grid Structure to Speed Up Example-Based Photometric Stereo, A
* Uniform image and camera access
* Uniform Line Parameterization
* Uniform motion-compensated 5/3 filterhank for subband video coding
* Uniform Motion Blur in Poissonian Noise: Blur/Noise Tradeoff
* Uniform Polarimetric Matrix Rotation Theory and Its Applications
* Uniform probability model for deriving intra prediction angular table in High Efficiency Video Coding
* Uniform query formalization in mobile visual search: From standards to practice
* Uniform Resampling of Digitized Contours
* Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images
* Uniform Spherical Coordinate Quantization of Spherically Symmetric Sources
* Uniform Threshold TCQ with Block Classification for Image Transmission over Noisy Channels
* Uniform trellis coded quantization for image transmission over noisy channels
* Uniformity and Homogeneity Based Hierarchical Clustering
* Uniformity correction and threshold or halftoning conversion unit and method
* Uniformity correction with homomorphic filtering on region of interest
* uniformity criterion and algorithm for data clustering, A
* Uniformity of Imaging Spectrometry Data Products
* Uniformity testing using minimal spanning tree
* Uniformly asymptotical stability of nonlinear time delay systems
* Uniformly Partitioning Images on Virtual Hexagonal Structure
* Uniformly sampling multi-resolution analysis for image-based relighting
* Unifying Analysis of Full Reference Image Quality Assessment
* Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications, A
* Unifying Approach for Fast License Plate Localization and Super-Resolution
* Unifying Approach to ECG Biometric Recognition Using the Wavelet Transform, A
* Unifying Approach to Hard and Probabilistic Clustering, A
* Unifying Approach to Moment-Based Shape Orientation and Symmetry Classification, A
* Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
* Unifying Background Models over Complex Audio using Entropy
* Unifying Boundary and Region-based Information for Geodesic Active Tracking
* Unifying Characterization of Deformable Registration Methods Based on the Inherent Parametrization: An Attempt at an Alternative Analysis Approach
* Unifying conversational multimedia interfaces for accessing network services across communication devices
* unifying criterion for unsupervised clustering and feature selection, A
* Unifying discriminative visual codebook generation with classifier training for object category recognition
* Unifying Energy Minimization and Mutual Information Maximization for Robust 2D/3D Registration of X-Ray and CT Images
* Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part I: Theory
* Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part II: Adaptive Implementation and Performance Issues
* unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models, A
* unifying framework for color image calibration, A
* Unifying Framework for Correspondence-Less Linear Shape Alignment, A
* Unifying Framework for Invariant Pattern-Recognition, A
* Unifying Framework for Learning the Linear Combiners for Classifier Ensembles, A
* unifying framework for lossless and progressive image coding, A
* Unifying Framework for Mutual Information Methods for Use in Non-linear Optimisation, A
* unifying framework for partial volume segmentation of brain MR images, A
* Unifying Framework for Relational Structure Matching, A
* Unifying Framework for Structure and Motion Recovery from Image Sequences, A
* unifying geometric representation for central projection systems, A
* Unifying local and global content-based similarities for home photo retrieval
* Unifying Low-Level and High-Level Music Similarity Measures
* Unifying MAP-MRF Framework for Deriving New Point Similarity Measures for Intensity-based 2D-3D Registration, A
* Unifying maximum likelihood approaches in medical image registration
* Unifying measured point sequences of deforming objects
* Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
* Unifying Multiple Description Facets for Symbolic Image Retrieval
* Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition
* Unifying Omnidirectional Camera Model and its Applications, A
* Unifying Parametric Framework for 2D Steerable Wavelet Transforms, A
* Unifying Perspectives in Computational and Robot Vision
* Unifying Planar and Point Mapping in Monocular SLAM
* Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication
* Unifying Quantitative, Semi-quantitative and Qualitative Spatial Relation Knowledge Representations Using Mathematical Morphology
* Unifying Registration and Segmentation for Multi-sensor Images
* Unifying Regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part I: Theory
* Unifying Regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part II: Implementation and Performance Issues
* unifying resolution-independent formulation for early vision, A
* Unifying Shading and Texture Through an Active Observer
* Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking
* Unifying statistical texture classification frameworks
* Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification
* Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
* Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data
* Unifying Theory for Central Panoramic Systems and Practical Implications, A
* Unifying Theory of Active Discovery and Learning, A
* Unifying Two-View and Three-View Geometry
* Unifying Vascular Information in Intensity-Based Nonrigid Lung CT Registration
* unifying view for stack filter design based on graph search methods, A
* Unifying View of Contour Length Bias Correction, A
* Unifying View of Image Similarity, A
* unifying view on dataset shift in classification, A
* Unimodal and Multimodal Human Perception of Naturalistic Non-Basic Affective States During Human-Computer Interactions
* Unimodal thresholding for edge detection
* Unimodal thresholding for Laplacian-based Canny-Deriche filter
* Unimodal Thresholding
* Uninformation Variable Elimination and Successive Projections Algorithm in Mid-Infrared Spectral Wavenumber Selection
* Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation: The Opposing Metrics Method
* UNIPEN project of on-line data exchange and recognizer benchmarks
* Unipen Project
* Uniprojective Features for Gait Recognition
* unique-ID-based matrix strategy for efficient iconic indexing of symbolic pictures, A
* Unique Reconstruction of Piecewise Smooth Images by Minimizing Strictly Convex Nonquadratic Functionals
* Unique Recovery of Motion and Optic Flow Via Lie Algebras
* Unique shape context for 3d data description
* Unique Signatures of Histograms for Local Surface Description
* Unique Solution of Projective Invariants of 6 Points from 4 Uncalibrated Images, The
* Unique tomographic reconstruction of vector fields using boundary data
* Unique Vertex Deleting Algorithm for Graph Isomorphism, A
* Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency
* Uniquely parsable array grammars for generating and parsing connected patterns
* Uniquely Representing Point Patterns with Minimal Information
* Uniqueness and Approximation of a Photometric Shape-from-Shading Model
* Uniqueness and Estimation of 3-D Motion Parameters and Surface Structures of Rigid Objects
* Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces
* Uniqueness characteristics of the 2-D IIR mean squared error minimization
* Uniqueness Filtering for Local Feature Descriptors in Urban Building Recognition
* Uniqueness for shape from shading via photometric stereo technique
* Uniqueness in Shape from Shading Revisited
* Uniqueness in Shape from Shading
* Uniqueness of 3D affine reconstruction of lines with affine cameras
* Uniqueness of 3D Pose under Weak Perspective: A Geometrical Proof
* Uniqueness of blur measure
* Uniqueness of Locally Optimal Quantizer for Log-Concave Density and Convex Error Weighting Functions
* Uniqueness of Results for Multiple Correlations of Periodic Functions
* Uniqueness of Solutions to 3 Perspective Views of 4 Points
* Uniqueness of Solutions to Structure and Motion from Combinations of Point and Line Correspondences
* Uniqueness of Solutions to Two-Dimensional Fourier Phase Problems for Localized and Positive Images
* Uniqueness of the Gaussian Kernel for Scale-Space Filtering
* Uniqueness of the Perfect Fusion Grid on Zd
* Uniqueness of Tomography with Unknown View Angles
* Uniqueness Regions under Sets of Generic Projections in Discrete Tomography
* Uniqueness Results for Image Reconstruction from Features on Curves in alpha-Scale Spaces
* Uniqueness, the Minimum Norm Constraint, and Analog Networks for Optical Flow Along Contours
* Unit measure violations in pattern recognition: Ambiguity and irrelevancy
* Unit Selection Using Linguistic, Prosodic and Spectral Distance for Developing Text-to-Speech System in Hindi
* Unitary Catadioptric Objective Lens System
* Unitary Regression Classification With Total Minimum Projection Error for Face Recognition
* Unitary rotations in two-, three-, and D-dimensional Cartesian data arrays
* Unitary torus model for conical mirror based catadioptric system
* United Snakes
* United Zernike Invariants for Character Images
* Unity Is Strength: Coupling Media for Thematic Segmentation
* Univ. of Illinois Parameter Estimation Papers
* Univariate Blending Functions and Alternatives
* Universal Algorithm for Sequential Data Compression, A
* Universal Analytical Forms for Modeling Image Probabilities
* Universal and Adapted Vocabularies for Generic Visual Categorization
* Universal and low-complexity quantizer design for compressive sensing image coding
* Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System
* Universal Background Models for Dynamic Signature Verification
* Universal Camera Calibration with Automatic Distortion Model Selection
* Universal character segmentation scheme for multifont OCR images
* Universal Chroma Subsampling Strategy for Compressing Mosaic Video Sequences With Arbitrary RGB Color Filter Arrays in H.264/AVC
* Universal colour quantisation for different colour spaces
* universal colour transformation architecture, A
* Universal data capture technology from semi-structured forms
* Universal Data Compression System, A
* Universal Data Compression: An Overview
* Universal demosaicking for imaging pipelines with an RGB color filter array
* Universal Denoising Framework With a New Impulse Detector and Nonlocal Means, A
* Universal Denoising of Continuous Amplitude Signals with Applications to Images
* Universal Design for Quality of Life Technologies
* universal Full Reference image Quality Metric based on a neural fusion approach, A
* Universal HMM-Based Approach to Image Sequence Classification, A
* Universal HMT based super resolution for remote sensing images
* Universal Image Coding Using Multiscale Recurrent Patterns and Prediction
* Universal Image Compression Using Multiscale Recurrent Patterns With Adaptive Probability Model
* universal image quality index, A
* Universal Impulse Noise Filter Based on Genetic Programming
* Universal intra coding for arbitrary RGB color filter arrays in HEVC
* Universal JPEG steganalysis based on microscopic and macroscopic calibration
* Universal JPEG Steganalysis in the Compressed Frequency Domain
* Universal Knowledge-Based Imaging System for Hazardous Environments, A
* universal method for single character type recognition, A
* Universal minimax binary image denoising under channel uncertainty
* Universal Morphological Interpolator
* Universal Mosaicing using Pipe Projection
* Universal Multi-dimensional Lossy Compression Algorithm, A
* Universal Multi-scale Matching Pursuits Algorithm with Reduced Blocking Effect
* Universal Noise Removal Algorithm With an Impulse Detector, A
* Universal perceptual weighted zerotree coding for image and video compression
* Universal Principal Axes: An Easy-to-Construct Tool Useful in Defining Shape Orientations for Almost Every Kind of Shape
* Universal Prior for Integers and Esitmation by Minimum Description Length, A
* Universal Pyramid Segmentation Algorithm, A
* Universal Rate Control Scheme for Video Transcoding, A
* Universal Regularizers for Robust Sparse Coding and Modeling
* Universal Seed Skin Segmentation
* Universal Spaces for (k,kbar)-Surfaces
* Universal spatial feature set for video steganalysis
* Universal Steganalysis Using Features Derived from the Differential Image Histogram in Frequency Domain, A
* Universal thresholder/discriminator
* Universal Trellis Coded Quantization
* Universal Variable Length Code for DCT Coding
* Universal Variational Framework for Sparsity-Based Image Inpainting, A
* Universal VBR videocodecs for ATM networks in the Belgian Broadband Experiment
* Universality of the Local Marginal Polytope
* Universidad de Córdoba
* Universidad de Las Palmas de Gran Canaria
* Universidad Politechnica de Valencia
* Universidad Rey Juan Carlos
* Universidade Federal do Paraná
* Universitat de Girona
* Universitat de València
* Universite de Sherbrooke
* Universite Paris IX Dauphine
* University College Dublin
* University College London
* University Jaume I
* University of Adelaide, The
* University of Alberta
* University of Alcala de Henares (Madrid, Spain), as a Dynamic Example and Laboratory of the Recovery, Rehabilitation, and Conservation of the Cultural Heritage, The
* University of Alcala
* University of Algarve
* University of Amsterdam
* University of Arizona
* University of Auckland, The
* University of Autononoma de Barcelona
* University of Basel
* University of Beira Interior
* University of Bergen
* University of Bern
* University of Bielefeld
* University of Bologna
* University of Bonn, Computer Vision Group
* University of Bonn, Institute for Photogrammetry
* University of Bremen
* University of Brescia
* University of Brighton
* University of Bristol
* University of British Columbia
* University of Caen
* University of Calgary
* University of California, Berkeley
* University of California, Irvine
* University of California, Los Angeles
* University of California, Merced
* University of California, Riverside
* University of California, San Diego
* University of California, Santa Barbara
* University of California, Santa Cruz
* University of Canterbury
* University of Cape Town
* University of Central Florida
* University of Colorado, Colorado Springs
* University of Copenhagen
* University of Costa Rica
* University of Delaware
* University of Dundee
* University of East Anglia
* University of Edinburgh
* University of Erlangen-Nuremberg
* University of Essex
* University of Exeter
* University of Florence
* University of Florida
* University of Freiburg
* University of Geneva
* University of Genova
* University of Georgia
* University of Glasgow
* University of Granada
* University of Groninen
* University of Guelph
* University of Hamburg
* University of Hannover
* University of Hawaii at Manoa
* University of Heidelberg BMCV
* University of Heidelberg
* University of Hong Kong
* University of Houston
* University of Illinois Datasets
* University of Illinois
* University of Jena
* University of Kaiserslautern, IUPR
* University of Karlsruhe
* University of Kentucky
* University of Koblenz
* University of Leeuwarden
* University of Liège
* University of Ljubljana
* University of Louisville
* University of Luebeck
* University of Lugano
* University of Malaga
* University of Manchester
* University of Manchester, Medicine
* University of Maryland
* University of Massachusetts VISIONS System
* University of Massachusetts
* University of Messina
* University of Miami
* University of Michigan
* University of Milano
* University of Minnesota
* University of Modena and Reggio Emilia
* University of Muenster
* University of Nevada, Las Vegas
* University of Nevada, Reno
* University of New South Wales
* University of North Carolina at Charlotte
* University of North Carolina
* University of Notre Dame
* University of Nottingham
* University of of Bath
* University of of Birmingham
* University of Otago
* University of Ottawa
* University of Oulu Face Video Database, The
* University of Oulu Physics-Based Face Database, The
* University of Oulu
* University of Oxford video retrieval system
* University of Pacific
* University of Paderborn
* University of Paris 13
* University of Parma
* University of Pavia
* University of Pennsylvania
* University of Pisa
* University of Plymouth
* University of Politecnica Madrid
* University of Reading
* University of Rochester
* University of Sao Paulo
* University of Saskatchewan
* University of Sheffield
* University of South Florida
* University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset, The
* University of Southampton
* University of Southern California, Computer Vision Group
* University of Southern California, Institute for Robotics and Intelligent Systems
* University of Southern California, Signal and Image Processing
* University of Southern California, Visual Processing Laboratory
* University of Stuttgart
* University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes, The
* University of Surrey
* University of Sussex
* University of Technology, Sydney
* University of Tennessee, Knoxville
* University of Texas
* University of Texas, Dallas
* University of the Balearic Islands
* University of the West of England
* University of Tokyo
* University of Toronto
* University of Twente
* University of Ulster
* University of Utah
* University of Verona
* University of Virginia
* University of Warwick
* University of Washington
* University of Waterloo
* University of West Florida
* University of Western Australia
* University of Western Ontario
* University of Wisconsin
* University of Wisconsin, Eau Claire
* University of Wollongogn
* University of York
* University of Zagreb
* Université de Bourgogne
* Université du Quebec
* Université Louis Pasteur, Strasbourg
* Unknown Radial Distortion Centers in Multiple View Geometry Problems
* Unknown Target Motion Compensation for Spotlight-mode Synthetic Aperture Radar Imagery
* Unlabeled data improves word prediction
* Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers
* Unlabeling data can improve classification accuracy
* Unmanned aerial systems for photogrammetry and remote sensing: A review
* Unmanned Aerial Systems in the Process of Juridical Verification of Cadastral Border
* Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco
* Unmanned Aircraft Systems for Rapid Near Surface Geophysical Measurements
* Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use
* Unmanned Drones are Flying High in the Military/Aerospace Sector
* Unmanned vehicle control system and method
* Unmanned vehicle running system
* Unmanned Vehicles Come of Age: The DARPA Grand Challenge
* Unmixing-Based Multisensor Multiresolution Image Fusion
* Unmixing approach for hyperspectral data resolution enhancement using high resolution multispectral image
* Unmixing Component Analysis for Anomaly Detection in Hyperspectral Imagery
* Unmixing Dynamic Fluorescence Diffuse Optical Tomography Images With Independent Component Analysis
* Unmixing functional magnetic resonance imaging data using matrix factorization
* Unmixing Molecular Agents From Absorbing Tissue in Multispectral Optoacoustic Tomography
* Unmixing Tissues: Sparse Component Analysis in Multi-Contrast MRI
* Unnatural L0 Sparse Representation for Natural Image Deblurring
* Unobtrusive Fall Detection at Home Using Kinect Sensor
* Unobtrusive multi-modal biometric recognition using activity-related signatures
* unorthodox approach towards shape from focus, An
* Unquantized resolution conversion of bitmap images using error diffusion
* Unranked tree languages
* Unraveling Travelling Salesman Problem by genetic algorithm using m-crossover operator
* Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
* Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography
* Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks
* Unscented feature tracking
* Unscented Kalman Filter for Image Estimation in Film-Grain Noise
* Unscented Kalman filter for visual curve tracking
* Unscented Kalman Filtering for Articulated Human Tracking
* Unscented Kalman Filtering on Riemannian Manifolds
* Unscented transformation for depth from motion-blur in videos
* Unscreening of stored digital halftone images
* Unscreening using a hybrid filtering approach
* Unseen Appliances Identification
* Unseen Challenge data sets, The
* Unseen Visible Watermarking
* Unseen) event recognition via semantic compositionality
* Unsharp masking and related image enhancement techniques
* Unsharp Masking Sharpening Detection via Overshoot Artifacts Analysis
* Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background
* Unsolved Problems in Optical Flow and Stereo Estimation
* Unstructured Light Scanning Robust to Indirect Illumination and Depth Discontinuities
* Unstructured light scanning to overcome interreflections
* Unstructured Point Cloud Matching within Graph-Theoretic and Thermodynamic Frameworks
* Unsupervised (parameter) learning for MRFs on bipartite graphs
* Unsupervised 2D gel electrophoresis image segmentation based on active contours
* Unsupervised 3D object recognition and reconstruction in unordered datasets
* Unsupervised Abnormal Behavior Detection for Real-Time Surveillance Using Observed History
* Unsupervised Abnormal Crowd Activity Detection Using Semiparametric Scan Statistic
* Unsupervised Action Classification Using Space-Time Link Analysis
* Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation
* Unsupervised active regions for multiresolution image segmentation
* Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems
* Unsupervised Activity Extraction on Long-Term Video Recordings Employing Soft Computing Relations
* Unsupervised Activity Perception by Hierarchical Bayesian Models
* Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models
* Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations
* Unsupervised Algorithm for Anchor Shot Detection, An
* Unsupervised Algorithm for the Segmentation of Three-dimensional Magnetic Resonance Brain Images
* Unsupervised Alignment of News Video and Text Using Visual Patterns and Textual Concepts
* Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model
* Unsupervised analysis of activity sequences using event-motifs
* Unsupervised and adaptive Gaussian skin-color model
* Unsupervised and Model-Free News Video Segmentation
* Unsupervised and Non-Parametric Bayesian Classifier, An
* unsupervised and non-parametric Bayesian Image segmentation, An
* Unsupervised and reliable image matting based on modified spectral matting
* Unsupervised and semi-supervised learning via l1-norm graph
* Unsupervised and simultaneous training of multiple object detectors from unlabeled surveillance video
* Unsupervised and supervised classifications by rival penalized competitive learning
* Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines
* Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images, An
* Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity
* Unsupervised Approach for Segmentation and Clustering of Soccer Players, An
* Unsupervised Approach for Video Text Localization, An
* unsupervised approach to feature discretization and selection, An
* Unsupervised approximate-semantic vocabulary learning for human action and video classification
* unsupervised artifact correction approach for the analysis of DNA microarray images, An
* Unsupervised Artificial Immune Classifier for Multi/Hyperspectral Remote Sensing Imagery, An
* Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI
* Unsupervised auxiliary visual words discovery for large-scale image object retrieval
* Unsupervised band selection for multispectral images using information theory
* unsupervised Bayes classifier for normal patterns based on marginal densities analysis, An
* Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
* Unsupervised Bayesian Detection of Independent Motion in Crowds
* Unsupervised Bayesian Estimation for Segmenting Textured Images
* Unsupervised Bayesian image segmentation using orthogonal series
* Unsupervised Bayesian Image Segmentation Using Wavelet-Domain Hidden Markov Models
* Unsupervised Bayesian Model-Learning with Application to Textured and Polynomial Image Segmentation
* Unsupervised Block Covering Analysis for Text-Line Segmentation of Arabic Ancient Handwritten Document Images
* Unsupervised categorization of heterogeneous text images based on fractals
* Unsupervised Category Discovery in Images Using Sparse Neural Coding
* Unsupervised Category Modeling, Recognition, and Segmentation in Images
* Unsupervised Cell Nuclei Segmentation Based on Morphology and Adaptive Active Contour Modelling
* Unsupervised cell nucleus segmentation with active contours
* Unsupervised Change Detection and Recognition System for Forestry, An
* Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform
* Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion
* Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods
* Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis
* Unsupervised Change Detection of Satellite Images Using Local Gradual Descent
* Unsupervised Change Detection on SAR images using a New Fractal-Based Measure
* Unsupervised Change Detection on SAR Images Using Fuzzy Hidden Markov Chains
* Unsupervised Classemes
* Unsupervised Classification and Part Localization by Consistency Amplification
* Unsupervised Classification Approach for Polarimetric SAR Data Based on the Chernoff Distance for Complex Wishart Distribution, An
* Unsupervised classification of extreme facial events using active appearance models tracking for sign language videos
* Unsupervised classification of hyperspectral images by using linear unmixing algorithm
* Unsupervised Classification of Polarimetric Synthetic Aperture Radar Images Using Fuzzy Clustering and EM Clustering
* Unsupervised Classification of Satellite Imagery: Choosing a Good Algorithm
* Unsupervised Classification of Scattering Mechanisms in Polarimetric SAR Data Using Fuzzy Logic in Entropy and Alpha Plane
* Unsupervised Classification of Structurally Similar Document Images
* Unsupervised Classification Using Polarimetric Decomposition and the Complex Wishart Classifier
* Unsupervised Classification Using Spatial Region Growing Segmentation and Fuzzy Training
* Unsupervised Clustering Algorithm for Video Shots Using Spectral Division
* Unsupervised Clustering and Optimal Clusters for Segmentation
* Unsupervised clustering for google searches of celebrity images
* Unsupervised Clustering in Hough Space for Identification of Partially Occluded Objects
* Unsupervised clustering in Hough space for recognition of multiple instances of the same object in a cluttered scene
* Unsupervised Clustering Method Using the Entropy Minimization, An
* Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation
* Unsupervised clustering of dominant scenes in sports video
* Unsupervised Clustering of Human Pose Using Spectral Embedding
* Unsupervised clustering of text entities in heterogeneous grey level documents
* Unsupervised clustering on dynamic databases
* Unsupervised clustering using hyperclique pattern constraints
* Unsupervised Clustering using Multi-Resolution Perceptual Grouping
* Unsupervised Clustering, Classification
* Unsupervised co-segmentation through region matching
* Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
* Unsupervised Color-Texture Segmentation
* Unsupervised color classifier training for soccer player detection
* Unsupervised Color Image Segmentation Algorithm for Face Detection Applications, An
* Unsupervised Color Image Segmentation for Content-Based Application
* Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
* Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
* Unsupervised colour image segmentation applied to printing quality assessment
* Unsupervised colour image segmentation using dual-tree complex wavelet transform
* Unsupervised constellation model learning algorithm based on voting weight control for accurate face localization
* Unsupervised Construction of an Indoor Floor Plan Using a Smartphone
* Unsupervised context estimation in a mesh of pattern classes for image recognition
* Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation
* Unsupervised contour estimation
* Unsupervised Contour Representation and Estimation Using B-Splines and a Minimum Description Length Criterion
* Unsupervised Custering of Shapes
* Unsupervised dance figure analysis from video for dancing Avatar animation
* unsupervised data projection that preserves the cluster structure, An
* Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle
* Unsupervised deconvolution of satellite images
* Unsupervised dense crowd detection by multiscale texture analysis
* Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction
* Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
* Unsupervised detection and localization of structural textures using projection profiles
* Unsupervised detection and segmentation of identical objects
* Unsupervised Detection for Minimizing a Region of Interest around Distinct Object in Natural Images
* Unsupervised detection of contours using a statistical model
* Unsupervised Detection of Gradual Video Shot Changes with Motion-Based False Alarm Removal
* Unsupervised detection of straight lines through possibilistic clustering
* Unsupervised detection of surface defects: A two-step approach
* Unsupervised Detector Adaptation by Joint Dataset Feature Learning
* Unsupervised dictionary learning with double-layer sparse representation
* Unsupervised dimensionality estimation and manifold learning in high-dimensional spaces by tensor voting
* Unsupervised Discovery of Action Classes
* Unsupervised Discovery of Activities and Their Temporal Behaviour
* Unsupervised discovery of activity correlations using latent topic models
* Unsupervised discovery of co-occurrence in sparse high dimensional data
* Unsupervised discovery of facial events
* Unsupervised Discovery of Mid-Level Discriminative Patches
* Unsupervised discovery of object classes in 3D outdoor scenarios
* Unsupervised discovery of visual object class hierarchies
* Unsupervised Discovery, Modeling, and Analysis of Long Term Activities
* Unsupervised Discriminant Projection Analysis for Feature Extraction
* Unsupervised discriminative feature selection in a kernel space via L2,1-norm minimization
* Unsupervised Domain Adaptation by Domain Invariant Projection
* Unsupervised domain adaptation of virtual and real worlds for pedestrian detection
* Unsupervised domain adaptation using parallel transport on Grassmann manifold
* Unsupervised dynamic texture segmentation using local descriptors in volumes
* Unsupervised dynamic texture segmentation using local spatiotemporal descriptors
* Unsupervised Dynamic Textures Segmentation
* Unsupervised edge-preserving image restoration via a saddle point approximation
* Unsupervised edge detection and noise detection from a single image
* Unsupervised edge map scoring: A statistical complexity approach
* Unsupervised endmember extraction: Application to hyperspectral images from Mars
* Unsupervised Ensemble of Experts (EoE) Framework for Automatic Binarization of Document Images
* Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval
* Unsupervised estimation of left ventricular displacement from MR tagged images using Markov random field edge priors
* Unsupervised estimation of segmentation quality using nonnegative factorization
* Unsupervised Evaluation Measure of Image Segmentation: Application to Flower Image Segmentation, An
* Unsupervised evaluation method using Markov random field for moving object segmentation in infrared videos
* Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents
* Unsupervised evaluation of image segmentation application to multi-spectral images
* Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis
* Unsupervised extraction of coherent regions for image based rendering
* Unsupervised Extraction of Flood-Induced Backscatter Changes in SAR Data Using Markov Image Modeling on Irregular Graphs
* Unsupervised extraction of salient region-descriptors for content based image retrieval
* Unsupervised Extraction of Visual Attention Objects in Color Images
* Unsupervised Facade Segmentation Using Repetitive Patterns
* Unsupervised face alignment by robust nonrigid mapping
* Unsupervised face recognition by associative chaining
* Unsupervised Face Recognition from Image Sequences Based on Clustering with Attraction and Repulsion
* Unsupervised Face Recognition from Image Sequences
* Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models
* Unsupervised Feature Learning for Aerial Scene Classification
* Unsupervised feature learning framework for no-reference image quality assessment
* Unsupervised feature learning using Markov deep belief network
* Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters
* Unsupervised feature reduction in image segmentation by local Karhunen-Loeve transform
* Unsupervised Feature Reduction in Image Segmentation by Local Transforms
* Unsupervised Feature Selection and Category Classification for a Vision-Based Mobile Robot
* Unsupervised Feature Selection and Category Formation for Generic Object Recognition
* Unsupervised Feature Selection and Learning for Image Segmentation
* Unsupervised feature selection applied to content-based retrieval of lung images
* Unsupervised Feature Selection Dynamic Mixture Model for Motion Segmentation, An
* Unsupervised Feature Selection for Salient Object Detection
* Unsupervised Feature Selection Using a Neuro-Fuzzy Approach
* Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm
* Unsupervised Feature Selection Using Feature Similarity
* Unsupervised Feature Selection Using Geometrical Measures in Prototype Space for Hyperspectral Imagery
* Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
* Unsupervised feature selection via distributed coding for multi-view object recognition
* Unsupervised Feature Selection Via Hypergraph Embedding
* Unsupervised Feature Selection
* Unsupervised Fingerprint Recognition
* Unsupervised Fingerprint Segmentation Based on Multiscale Directional Information
* Unsupervised flow-based motion analysis for an autonomous moving system
* Unsupervised Framework for Action Recognition Using Actemes, An
* Unsupervised fuzzy-membership estimation of terms in semantic and syntactic lexical classes
* Unsupervised fuzzy clustering and image segmentation using weighted neural networks
* Unsupervised Fuzzy Clustering for Trajectory Analysis
* Unsupervised fuzzy clustering
* unsupervised generalized Hough transform for natural shapes, An
* Unsupervised Hierarchical Feature Learning Framework for One-Shot Image Recognition, An
* Unsupervised hierarchical image segmentation with level set and additive operator splitting
* Unsupervised Hierarchical Segmentation of a Facade Building Image in Elementary 2D-Models, An
* Unsupervised HMM Adaptation Using Page Style Clustering
* Unsupervised Hyperspectral Image Analysis with Projection Pursuit
* Unsupervised hyperspectral image segmentation using a new class of neuro-fuzzy systems based on weighted incremental neural networks
* Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER
* Unsupervised Image-Set Clustering Using an Information Theoretic Framework
* Unsupervised Image Categorization and Object Localization using Topic Models and Correspondences between Images
* Unsupervised Image Categorization by Hypergraph Partition
* Unsupervised image categorization
* Unsupervised Image Classification with a Hierarchical EM Algorithm
* Unsupervised image classification, segmentation, and enhancement using ICA mixture models
* Unsupervised Image Clustering Using the Information Bottleneck Method
* Unsupervised image compression-by-synthesis within a JPEG framework
* Unsupervised image compression using graphcut texture synthesis
* Unsupervised image embedding using nonparametric statistics
* Unsupervised Image Layout Extraction
* Unsupervised Image Matching Based on Manifold Alignment
* Unsupervised Image Object Segmentation Over Compressed Domain
* Unsupervised Image Partitioning with Semidefinite Programming
* Unsupervised Image Restoration and Edge Location Using Compound Gauss-Markov Random-Fields and the MDL Principle
* Unsupervised Image Retrieval with Similar Lighting Conditions
* unsupervised image segmentation algorithm based on the machine learning of appropriate features, An
* Unsupervised image segmentation based on a self-organizing feature map and a texture measure
* Unsupervised Image Segmentation Based on the Comparison of Local and Regional Histograms
* Unsupervised image segmentation combining region and boundary estimation
* Unsupervised image segmentation evaluation and refinement using a multi-scale approach
* Unsupervised Image Segmentation Using a Colony of Cooperating Ants
* Unsupervised Image Segmentation Using A Distributed Genetic Algorithm
* Unsupervised Image Segmentation Using a Hierarchical Clustering Selection Process
* Unsupervised image segmentation using a simple MRF model with a new implementation scheme
* Unsupervised Image Segmentation Using An Unlabeled Region Process
* Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Model
* Unsupervised image segmentation using global spatial constraint and multi-scale representation on multiple segmentation proposals
* Unsupervised image segmentation using Markov random field models
* Unsupervised image segmentation using the minimum description length principle
* Unsupervised image segmentation using the modified pyramidal linking approach
* Unsupervised image segmentation using triplet Markov fields
* Unsupervised image segmentation via markov trees and complex wavelets
* Unsupervised image translation
* Unsupervised improvement of visual detectors using co-training
* Unsupervised incremental learning for improved object detection in a video
* Unsupervised information extraction from unstructured, ungrammatical data sources on the World Wide Web
* Unsupervised ink type recognition in ancient manuscripts
* Unsupervised Interference Rejection Approach To Target Detection and Classification for Hyperspectral Imagery
* Unsupervised Internet-Based Category Learning for Object Recognition
* Unsupervised Intrinsic Calibration from a Single Frame Using a Plumb-Line Approach
* Unsupervised Intrusion Detection Using Color Images
* Unsupervised iterative detection of land mines in highly cluttered environments
* Unsupervised iterative manifold alignment via local feature histograms
* Unsupervised Joint Alignment of Complex Images
* Unsupervised Joint Feature Discretization and Selection
* Unsupervised Joint Object Discovery and Segmentation in Internet Images
* Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries
* Unsupervised Land Cover/Land Use Classification Using PolSAR Imagery Based on Scattering Similarity
* Unsupervised Language Learning for Discovered Visual Concepts
* Unsupervised language model adaptation for handwritten Chinese text recognition
* Unsupervised Learning Algorithm for Intelligent Image Analysis, An
* Unsupervised Learning and Mapping of Active Brain Functional MRI Signals Based on Hidden Semi-Markov Event Sequence Models
* Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns
* Unsupervised Learning Approach to Adaptive Differential Pulse Code Modulation
* Unsupervised Learning for Graph Matching
* Unsupervised Learning for Improving Efficiency of Dense Three-Dimensional Scene Recovery in Corridor Mapping
* Unsupervised Learning from Linked Documents
* Unsupervised Learning from Local Features for Video-Based Face Recognition
* Unsupervised learning in nongaussian pattern recognition
* Unsupervised Learning in Radiology Using Novel Latent Variable Models
* Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization
* Unsupervised learning of a finite gamma mixture using MML: Application to SAR image analysis
* Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application
* Unsupervised learning of a scene-specific coarse gaze estimator
* Unsupervised Learning of Activities in Video Using Scene Context
* Unsupervised learning of an atlas from unlabeled point-sets
* Unsupervised learning of background modeling parameters in multicamera systems
* Unsupervised learning of behavioural patterns for video-surveillance
* Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition
* Unsupervised Learning of Categorical Segments in Image Collections
* Unsupervised Learning of Categories from Sets of Partially Matching Image Features
* Unsupervised Learning of Characteristic Object Parts from Videos
* Unsupervised Learning of Dense Hierarchical Appearance Representation
* Unsupervised Learning of Dictionaries of Hierarchical Compositional Models
* Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
* Unsupervised Learning of Discriminative Relative Visual Attributes
* Unsupervised learning of event AND-OR grammar and semantics from video
* Unsupervised Learning of Finite Mixture Models
* Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation
* Unsupervised Learning of Functional Categories in Video Scenes
* Unsupervised Learning of Hand-Printed Characters with Linguistic Information, An
* Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)
* Unsupervised learning of hierarchical spatial structures in images
* Unsupervised learning of high-order structural semantics from images
* Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
* Unsupervised learning of human body parts from video footage
* Unsupervised learning of human expressions, gestures, and actions
* Unsupervised learning of human motion
* Unsupervised learning of human perspective context using ME-DT for efficient human detection in surveillance
* Unsupervised Learning of Image Manifolds by Semidefinite Programming
* Unsupervised Learning of Image Transformations
* Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
* Unsupervised learning of invariant features using video
* Unsupervised learning of micro-action exemplars using a Product Manifold
* Unsupervised Learning of Models for Recognition
* Unsupervised learning of motion patterns using generative models
* Unsupervised Learning of Multi-Object Events
* Unsupervised learning of nonlinear dependencies in natural images
* Unsupervised Learning of Object Deformation Models
* Unsupervised Learning of Object Features from Video Sequences
* Unsupervised Learning of Object Models
* Unsupervised Learning of Part-Based Representations
* Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories
* Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
* Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation
* Unsupervised learning of prototypes and attribute weights
* Unsupervised Learning of Saliency Concepts for Natural Image Classification and Retrieval
* Unsupervised Learning of Shape Manifolds
* Unsupervised Learning of Skeletons from Motion
* Unsupervised learning of spatial structures shared among images
* Unsupervised Learning of Stereo Vision with Monocular Depth Cues
* Unsupervised learning of stochastic AND-OR templates for object modeling
* Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition
* Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
* Unsupervised learning of translation invariant occlusive components
* Unsupervised learning of video structures in videos using hierarchical statistical models to detect events
* Unsupervised Learning of Visual Structure
* Unsupervised learning of visual taxonomies
* Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
* Unsupervised line network extraction in remote sensing using a polyline process
* Unsupervised Linear Feature-Extraction Methods and Their Effects in the Classification of High-Dimensional Data
* Unsupervised Linkage Learner Based on Local Optimums
* Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
* Unsupervised local color correction for coarsely registered images
* Unsupervised Low-Frequency Driven Segmentation of Color Images
* Unsupervised mammograms segmentation
* Unsupervised manifold learning based on multiple feature spaces
* Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks
* Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed images
* Unsupervised Material Classification of Printed Circuit Boards Using Dimension-Reduced Spectral Information
* Unsupervised Maximum Margin Feature Selection with manifold regularization
* Unsupervised measures for parameter selection of binarization algorithms
* Unsupervised methods for the classification of hyperspectral images with low spatial resolution
* Unsupervised metric fusion by cross diffusion
* Unsupervised metric learning by Self-Smoothing Operator
* Unsupervised metric learning for face identification in TV video
* Unsupervised minor prototype detection using an adaptive population partitioning algorithm
* Unsupervised Model-Based Object Recognition by Parameter Estimation of Hierarchical Mixtures
* unsupervised model for image classification, An
* Unsupervised model selection for view-invariant object detection in surveillance environments
* Unsupervised modeling of object categories using link analysis techniques
* Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
* Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions
* Unsupervised Modeling of Signs Embedded in Continuous Sentences
* Unsupervised motion classification by means of efficient feature selection and tracking
* Unsupervised Motion Detection Using a Markovian Temporal Model with Global Spatial Constraints
* Unsupervised motion pattern learning for motion segmentation
* Unsupervised Moving Object Detection with On-line Generalized Hough Transform
* Unsupervised Multi-class Joint Image Segmentation
* Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model
* Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty
* Unsupervised multi-feature tag relevance learning for social image retrieval
* Unsupervised Multi-resolution Object Extraction Algorithm Using Video-cube, An
* Unsupervised multi-target trajectory detection, learning and analysis in complicated environments
* Unsupervised Multiclass Region Cosegmentation via Ensemble Clustering and Energy Minimization
* Unsupervised multicomponent image segmentation combining a vectorial HMC Model and ICA
* Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph
* Unsupervised Multiphase Segmentation: A Phase Balancing Model
* Unsupervised multiphase segmentation: A recursive approach
* Unsupervised Multiple Object Segmentation of Multiview Images
* Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
* Unsupervised multiresolution texture segmentation using wavelet decomposition
* Unsupervised Multiscale Color Image Segmentation Based on MDL Principle
* Unsupervised multiscale image segmentation
* Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model
* Unsupervised multiscale segmentation of color images
* Unsupervised Multiscale Speckle Filtering
* Unsupervised Multispectral Image Classification Using MRF Models and VQ Method
* Unsupervised Multistage Image Classification Using Hierarchical Clustering With a Bayesian Similarity Measure
* Unsupervised multistage segmentation using Markov random field and maximum entropy principle
* Unsupervised Mumford-Shah energy based hybrid of texture and nontexture image segmentation
* Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity
* Unsupervised Newspaper Segmentation Using Language Context
* Unsupervised Non-parametric Geospatial Modeling from Ground Imagery
* Unsupervised non-parametric region segmentation using level sets
* Unsupervised Nonlinear Manifold Learning
* Unsupervised novelty detection using Gabor filters for defect segmentation in textures
* Unsupervised object-based detection of dissolves in video sequences
* Unsupervised Object-Based Video Segmentation Using Color and Texture
* Unsupervised object class discovery via saliency-guided multiple class learning
* Unsupervised Object Discovery and Segmentation in Videos
* Unsupervised Object Discovery from Images by Mining Local Features Using Hashing
* Unsupervised object discovery via self-organisation
* Unsupervised Object Discovery: A Comparison
* Unsupervised Object Extraction by Contour Delineation and Texture Discrimination Based on Oriented Edge Features
* Unsupervised Object Pose Classification from Short Video Sequences
* Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
* Unsupervised One-Class Learning for Automatic Outlier Removal
* Unsupervised online learning of visual focus of attention
* Unsupervised online learning trajectory analysis based on weighted directed graph
* Unsupervised Optimal Fuzzy Clustering
* Unsupervised Organization of Image Collections: Taxonomies and Beyond
* Unsupervised Parallel Image Classification Using a Hierarchical Markovian Model
* Unsupervised parallel image classification using Markovian models
* Unsupervised Patch-based Context from Millions of Images
* Unsupervised Patch-Based Image Regularization and Representation
* Unsupervised pattern recognition models for mixed feature-type symbolic data
* Unsupervised Pedestrian Re-identification for Loitering Detection
* Unsupervised people organization and its application on individual retrieval from videos
* Unsupervised Perceptual Segmentation of Natural Color Images Using Fuzzy-Based Hierarchical Algorithm
* Unsupervised Pixel Classification in Satellite Imagery Using Multiobjective Fuzzy Clustering Combined With SVM Classifier
* Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty
* Unsupervised Polygonal Reconstruction of Noisy Contours by a Discrete Irregular Approach
* Unsupervised possibilistic clustering
* Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
* Unsupervised profiling of OCRed historical documents
* Unsupervised progressive parsing of Poisson fields using minimum description length criteria
* Unsupervised random forest indexing for fast action search
* Unsupervised Random Forest Manifold Alignment for Lipreading
* Unsupervised range-constrained thresholding
* Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification
* Unsupervised Real-Time Unusual Behavior Detection for Biometric-Assisted Visual Surveillance
* Unsupervised recognition of multi-view face sequences based on pairwise clustering with attraction and repulsion
* unsupervised region growing method for 3D image segmentation, An
* Unsupervised Regions Segmentation: Real Time Control of an Upkeep Machine of Natural Spaces
* Unsupervised robust clustering for image database categorization
* Unsupervised robust nonparametric estimation of the hemodynamic response function for any FMRI experiment
* Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods
* Unsupervised Salience Learning for Person Re-identification
* Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut
* Unsupervised SAR Image Segmentation Using Higher Order Neighborhood-Based Triplet Markov Fields Model
* Unsupervised scene analysis: A hidden Markov model approach
* Unsupervised scene segmentation using sparse coding context
* Unsupervised Scheme for Detection of Microcalcifications on Mammograms, An
* Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering
* Unsupervised Seed Determination for a Region-based Color Image Segmentation Scheme
* Unsupervised segmentation algorithm of HRTEM images
* Unsupervised segmentation and approximation of digital curves with rate-distortion curve modeling
* Unsupervised segmentation and classification of cervical cell images
* Unsupervised Segmentation Based on Connectivity Analysis
* Unsupervised Segmentation Based on Multi-Resolution Analysis, Robust Statistics and Majority Game Theory
* Unsupervised Segmentation Based on Robust Estimation and Cooccurrence Data
* Unsupervised Segmentation by Use of a Texture Gradient
* Unsupervised Segmentation for Automatic Detection of Brain Tumors in MRI
* Unsupervised Segmentation for Inflammation Detection in Histopathology Images
* Unsupervised Segmentation for Transmission Imaging of Carbon Black
* Unsupervised Segmentation Incorporating Colour, Texture, and Motion
* Unsupervised Segmentation of 3D and 2D Seismic Reflection Data
* Unsupervised Segmentation of Anomalies in Sequential Data, Images and Volumetric Data Using Multiscale Fourier Phase-Only Analysis
* Unsupervised Segmentation of Color-Texture Regions in Images and Video
* Unsupervised Segmentation of Color Images Based on k-Means Clustering in the Chromaticity Plane
* Unsupervised segmentation of color images
* Unsupervised segmentation of color textured images using a multi-layer MRF model
* Unsupervised Segmentation of Defocused Video Based on Matting Model
* Unsupervised segmentation of dual-echo MR images by a sequentially learned Gaussian mixture model
* Unsupervised segmentation of dual-polarization SAR images based on amplitude and texture characteristics
* Unsupervised segmentation of ERS and Radarsat sea ice images using multiresolution peak detection and aggregated population equalization
* Unsupervised Segmentation of Gray Level Markov Model Textures with Hierarchical Self Organizing Maps
* Unsupervised segmentation of low clouds from infrared METEOSAT images based on a contextual spatio-temporal labeling approach
* Unsupervised Segmentation of Markov Random-Field Modeled Textured Images Using Selectionist Relaxation
* Unsupervised Segmentation of Multi-Modal Images by a Precise Approximation of Individual Modes with Linear Combinations of Discrete Gaussians
* Unsupervised Segmentation of Multisensor Images Using Generalized Hidden Markov Chains
* Unsupervised segmentation of multispectral images using edge progression and cost function
* Unsupervised Segmentation of Multitemporal Interferometric SAR Images
* Unsupervised segmentation of natural images via lossy data compression
* Unsupervised Segmentation of Noisy and Textured Images Using Markov Random Fields
* Unsupervised Segmentation of Objects using Efficient Learning
* Unsupervised Segmentation of Poisson Data
* Unsupervised Segmentation of Polarimetric SAR Data Using the Covariance Matrix
* Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions
* Unsupervised Segmentation of Retinal Blood Vessels Using a Single Parameter Vesselness Measure
* Unsupervised segmentation of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms
* Unsupervised segmentation of spaceborne passive radar images
* Unsupervised Segmentation of Surface Defects
* Unsupervised Segmentation of Synthetic Aperture Radar Sea Ice Imagery Using a Novel Markov Random Field Model
* Unsupervised segmentation of synthetic aperture radar sea ice imagery using MRF models
* Unsupervised Segmentation of Text Fragments in Real Scenes
* Unsupervised Segmentation of Textured Color Images Using Markov Random Field Models
* Unsupervised segmentation of textured image using Markov random field in random spatial interaction
* Unsupervised Segmentation of Textured Images by Edge Detection in Multidimensional Features
* Unsupervised Segmentation of Textured Images by Pairwise Data Clustering
* Unsupervised Segmentation of Three-dimensional Brain Images
* Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery
* Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis
* Unsupervised Segmentation With an Adaptive Number of Clusters Using the SPAN/H/alpha/A Space and the Complex Wishart Clustering for Fully Polarimetric SAR Data Analysis, An
* Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images
* Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
* Unsupervised Selection and Estimation of Finite Mixture Models
* Unsupervised Selective Transfer Learning for Object Recognition
* Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement
* Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification
* Unsupervised shape clustering of vertebra shapes using simulated annealing and nonlinear dimensionality reduction
* Unsupervised Shape Clustering using Diffusion Maps
* Unsupervised Simultaneous Registration and Exposure Correction
* Unsupervised skeleton learning for manifold denoising
* Unsupervised spatial pattern classification of electrical-wafer-sorting maps in semiconductor manufacturing
* Unsupervised Spatio-Temporal Multi-Human Detection and Recognition in Complex Scene
* Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context
* Unsupervised spectral feature selection for face recognition
* Unsupervised Spectral Matching Classifier Based on Artificial DNA Computing for Hyperspectral Remote Sensing Imagery, An
* Unsupervised Spectral Mixture Analysis with Hopfield Neural Network for hyperspectral images
* Unsupervised Speech Activity Detection Using Voicing Measures and Perceptual Spectral Flux
* Unsupervised Speech Text Localization in Comic Images
* Unsupervised Statistical Detection of Changing Objects in Camera-in-motion Video
* Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
* Unsupervised statistical sketching for non-photorealistic rendering models
* Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
* Unsupervised sub-categorization for object detection: Finding cars from a driving vehicle
* Unsupervised Subpixelic Classification Using Coarse-Resolution Time Series and Structural Information
* Unsupervised subspace linear spectral mixture analysis for hyperspectral images
* Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision
* Unsupervised Synthetic Aperture Radar Image Segmentation Using Fisher Distributions
* Unsupervised target detection in hyperspectral images using projection pursuit
* Unsupervised Temporal Commonality Discovery
* Unsupervised Terrain Classification Preserving Polarimetric Scattering Characteristics
* Unsupervised Text Segmentation Using Color and Wavelet Features
* Unsupervised Textural Classification of Images Using the Texture Spectrum
* Unsupervised texture-based image segmentation through pattern discovery
* Unsupervised Texture Based Image Segmentation by Simulated Annealing Using Markov Random Field and Potts Models
* Unsupervised Texture Classification Using Vector Quantization and Deterministic Relaxation Neural Network
* Unsupervised texture classification: Automatically discover and classify texture patterns
* Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering
* Unsupervised Texture Segmentation Algorithm with Feature Space Reduction and Knowledge Feedback, An
* Unsupervised Texture Segmentation Based on Histogram of Encoded Gabor Features and MRF Model
* Unsupervised texture segmentation based on the modified Markov random field model
* Unsupervised Texture Segmentation Based on Watershed and a Novel Artificial Immune Antibody Competitive Network
* Unsupervised texture segmentation by dominant sets and game dynamics
* Unsupervised Texture Segmentation by Hebbian Learnt Cortical Cells
* Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering
* Unsupervised Texture Segmentation for Multispectral Remote-Sensing Images
* Unsupervised Texture Segmentation in a Deterministic Annealing Framework
* Unsupervised Texture Segmentation of Images Using Tuned Matched Gabor Filters
* Unsupervised texture segmentation using a statistical wavelet-based hierarchical multi data model
* Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters
* Unsupervised texture segmentation using active contours driven by the Chernoff gradient flow
* Unsupervised Texture Segmentation Using Color Quantization And Color Feature Distributions
* Unsupervised texture segmentation using feature distributions
* Unsupervised texture segmentation using feature selection and fusion
* Unsupervised Texture Segmentation Using Gabor Filters
* Unsupervised texture segmentation using Hermite transform filters
* Unsupervised Texture Segmentation Using Markov Random Field Models
* Unsupervised Texture Segmentation Using Multichannel Decomposition and Hidden Markov-Models
* Unsupervised texture segmentation using multiresolution hybrid genetic algorithm
* Unsupervised Texture Segmentation Using Multispectral Modelling Approach
* Unsupervised texture segmentation using resonance algorithm for natural scenes
* Unsupervised Texture Segmentation Using Selectionist Relaxation
* Unsupervised Texture Segmentation Using Stochastic Version of the EM Algorithm and Data Fusion
* Unsupervised Texture Segmentation Using Tuned Filters in Gaborian Space
* Unsupervised Texture Segmentation via Wavelet Transform
* Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
* Unsupervised texture segmentation with one-step mean shift and boundary Markov random fields
* Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm
* Unsupervised textured image segmentation using 2-D quarter plane autoregressive model with four prediction supports
* Unsupervised Textured Image Segmentation Using Feature Smoothing and Probabilistic Relaxation Techniques
* Unsupervised thresholds for shape matching
* Unsupervised Tibetan speech features Learning based on Dynamic Bayesian Networks
* Unsupervised Tissue Image Segmentation through Object-Oriented Texture
* Unsupervised tissue type segmentation of 3D dual-echo MR head data
* Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths
* Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model
* Unsupervised vector image segmentation by a tree structure-ICM algorithm
* unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery, An
* Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing
* Unsupervised Video Adaptation for Parsing Human Motion
* Unsupervised Video Analysis for Counting of Wood in River during Floods
* Unsupervised video object segmentation and tracking based on new edge features
* Unsupervised Video Segmentation and Object Tracking
* Unsupervised Video Segmentation Based on Watersheds and Temporal Tracking
* Unsupervised video segmentation by dynamic volume growing and multivariate volume merging using color-texture-gradient features
* Unsupervised video segmentation method based on feature distance
* Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor
* Unsupervised Video Shot Segmentation Using Global Color and Texture Information
* Unsupervised Video Surveillance
* Unsupervised view and rate invariant clustering of video sequences
* Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy
* Unsupervised Visual Domain Adaptation Using Subspace Alignment
* Unsupervised visual hull extraction in space, time and light domains
* Unsupervised Visual Object Categorisation via Self-Organisation
* Unsupervised Visual Object Categorisation with BoF and Spatial Matching
* Unsupervised Wall Detector in Architectural Floor Plans
* Unsupervised watershed-driven region-based image retrieval
* Unsupervised workflow discovery in industrial environments
* Unsupervised writer adaptation applied to handwritten text recognition
* Unsupervised writer adaptation of whole-word HMMs with application to word-spotting
* Unsupervised writer style adaptation for handwritten word spotting
* Unsupervised, Fast and Precise Recognition of Digital Arcs in Noisy Images
* Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration
* unsupervised, online learning framework for moving object detection, An
* Unsupervized Video Segmentation With Low Depth of Field
* Unsynchronized 4D Barcodes
* Unsynchronized iteratively deepening parallel alpha-beta search
* Unsynchronized markerless motion capture with sharp illumination changes
* Untangling Cycles for Contour Grouping
* Untangling fibers by quotient appearance manifold mapping for grayscale shape classification
* Untangling Object-View Manifold for Multiview Recognition and Pose Estimation
* Untangling the Blum Medial Axis Transform
* Untersuchungen zur Lehre der Gestalt, II
* Untwisting a Projective Reconstruction
* Unusual Activity Analysis Using Video Epitomes and pLSA
* Unusual Activity Recognition in Noisy Environments
* Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches
* Unusual Event Detection via Multi-camera Video Mining
* Unusual events detection based on multi-dictionary sparse representation using kinect
* Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation
* Unwarping of unidirectionally distorted EPI images
* Unwarping scanned image of Japanese/English documents
* Unwrapping ground displacement signals in satellite radar interferograms with aid of GPS data and MRF regularization
* Unwrapping low-rank textures on generalized cylindrical surfaces
* Unwrapping of MR Phase Images Using a Markov Random Field Model
* Unwrapping the eye for visible-spectrum gaze tracking on wearable devices
* UODV: Improved Algorithm and Generalized Theory
* Up-sampling oriented frame rate reduction
* Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns
* Up to Date DSM Generation Using High Resolution Satellite Image Data
* Update-Describe Approach for Human Action Recognition in Surveillance Video, An
* Update-efficient indexing of moving objects in road networks
* Update of Roads in GIS from Aerial Imagery: Verification and Multi-Resolution Extraction
* update on automatic 3D building reconstruction, An
* Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector Machines
* Updated Geophysical Model for AMSR-E and SSMIS Brightness Temperature Simulations over Oceans, An
* Updated Radiometric Calibration for the Landsat-5 Thematic Mapper Reflective Bands
* Updating A Digital Geographic Database using Vehicle-borne Laser Scanners and Line Cameras
* Updating Building Maps Based On Object Extraction And Building Height Estimation
* Updating Knowledge in Feedback-Based Multi-classifier Systems
* Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
* Updating Land-Cover Maps by Using Texture Information from Very High-Resolution Space-Borne Imagery
* Updating mixture of principal components for error concealment
* Updating Object for GIS Database Information Using High Resolution Satellite Images: A Case Study Zonguldak
* Updating of Cartographic Road Databases by Image Analysis
* Updating Production Line System for National Topographical Database At 1:50k of China Based On Digital Map Generalization, An
* Updating Road Maps by Contextual Reasoning
* Updating solutions of the rational function model using additional control information
* Updating the Jacobi SVD for Nonstationary Data
* Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors
* UPE: Utah Prototyping Environment for Robot Manipulators
* Upgrading color-difference formulas
* Upgrading To Postgis 2.0 In The Brazilian Federal Police Forensics Gis
* UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability
* Upper-Body Contour Extraction Using Face and Body Shape Variance Information
* Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color
* Upper-body pose recognition using cylindrical coordinate system
* Upper-Limb Posture Definition During Grasping with Task and Environment Constraints
* Upper and Lower Probabilities Generalized by a Random Closed Interval
* Upper and Lower Probabilities Induced by a Multivalued Mapping
* Upper and Lower Probability Inferences for Families of Hypotheses with Monotone Density Ratios
* Upper Body Detection and Tracking in Extended Signing Sequences
* Upper Body Human Detection and Segmentation in Low Contrast Video
* Upper Body Pose Estimation from Stereo and Hand-Face Tracking
* Upper Body Tracking for Interactive Applications
* Upper Bound on Compression Ratio for Run-Length Encoding
* Upper Bound on Run-Length Coding Entropy, An
* Upper Bounds for Error Rates of Linear Combinations of Classifiers
* Upper Facial Action Unit Recognition
* Uppsala University
* Upsampling range data in dynamic environments
* Upscaling image resolution of compact imaging systems using wavefront coding and a property of the point-spread function
* Upward-fusion urban DTM generating method using airborne Lidar data
* Upwind Finite-Difference Method For Total Variation-Based Image Smoothing, An
* UPX: a new XML representation for annotated datasets of online handwriting data
* Uranus Mobile Robot, The
* Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory
* Urban-Target Recognition by Means of Repeated Spaceborne SAR Images
* Urban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification
* Urban 3D modelling using terrestrial laserscanners
* Urban accessibility diagnosis from mobile laser scanning data
* Urban Archaeology: How to Communicate a Story of a Site, 3D Virtual Reconstruction but not Only
* Urban Area Detection in Satellite Images Using Map Knowledge by a Feedback Control Technique
* Urban Area Extraction in SAR Data
* Urban Building Collapse Detection Using Very High Resolution Imagery and Airborne LIDAR Data
* Urban building detection from optical and InSAR features exploiting context
* Urban building height variance from multibaseline ERS coherence
* Urban building recognition during significant temporal variations
* Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture
* Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data
* Urban change detection based on an artificial neural network
* Urban Change Detection Based on Coherence and Intensity Characteristics of Sar Imagery
* Urban Change Extraction from High Resolution Satellite Image
* Urban DEM Generation from Raw Lidar Data: A Labeling Algorithm and its Performance
* Urban DEM generation, analysis and enhancements using TanDEM-X
* Urban Detection, Delimitation And Morphology: Comparative Analysis Of Selective megacities
* Urban Digital Elevation Model Reconstruction Using Very High Resolution Multichannel InSAR Data
* Urban Emergency Evacuation Data Fusion Based on One Map
* Urban Environment Modelling by Fusion of a Cadastral Map and a Digital Elevation Model
* Urban Expansion Monitoring Using Satellite Images by Means of Decision Level Fusion of Fuzzy Change Detectors
* Urban features recognition and extraction from very-high resolution multi-spectral satellite imagery: A micro-macro texture determination and integration framework
* Urban flood risk analysis for determining optimal flood protection levels based on digital terrain model and flood spreading model
* Urban granularities: A data structure for cognitively ergonomic route directions
* Urban Growth Detection Using Texture Analysis on Merged Landsat TM and SPOT-P Data
* Urban Growth Modeling Using ANFIS Algorithm: A Case Study for Sanandaj City, Iran
* Urban Heat Island Growth Modeling Using Artificial Neural Networks and Support Vector Regression: A case study of Tehran, Iran
* Urban Land-Cover Change Detection through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data
* Urban Land-use Classification Using Variogram-based Analysis with an Aerial Photograph
* Urban Land Cover Classification Using Optical VHR Data and the Knowledge-Based System Interimage
* Urban models texturing from un-calibrated photographs
* Urban monitoring using multi-temporal SAR and multi-spectral data
* Urban Monitoring Using Persistent Scatterer InSAR and Photogrammetry
* Urban Object Extraction From Digital Surface Model And Digital Aerial Images
* Urban object reconstruction using airborne laser elevation image and aerial image
* Urban Position Estimation from One Dimensional Visual Cues
* Urban procedural modeling for real-time rendering
* Urban road extraction based on hough transform and region growing
* Urban Road Extraction from High-Resolution Optical Satellite Images
* Urban Road Net Extraction Integrating Internal Evaluation Models
* Urban Road Network Extraction Based on Fuzzy ART, Radon Transform and Morphological Operations on DSM Data
* Urban road user detection and classification using 3D wire frame models
* Urban Scene Extraction from Mobile Ground Based LiDAR Data
* Urban scene understanding from aerial and ground LIDAR data
* Urban Sprawl Analysis and Modeling in Asmara, Eritrea
* Urban Street Grid Description and Verification
* Urban Structure of Rome Between History and Modern Times, The
* Urban Surface Biophysical Descriptors and Land Surface Temperature Variations
* Urban surveillance systems: from the laboratory to the commercial world
* Urban Tracker: Multiple object tracking in urban mixed traffic
* Urban traffic control structure based on hybrid Petri nets
* Urban traffic monitoring from aerial LIDAR data with a Two-Level Marked Point Process model
* Urban Transit Coordination Using an Artificial Transportation System
* Urban tribes: Analyzing group photos from a social perspective
* Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
* Urban vehicle platoon using monocular vision: Scale factor estimation
* Urbanization analysis by mutual information based change detection between SPOT 5 panchromatic images
* URBTREE: A Tree Growth Model for the Urban Environment
* URL-based system model for web service unified ID authorization, A
* US Patent and Trademark Office
* Usability evaluation of high-level user assistance for robot mission specification
* Usability Evaluation of Multimedia Courseware (MEL-SindD)
* Usability evaluation of virtual reality interaction techniques for positioning and manoeuvring in reduced, manipulation-oriented environments
* Usability of Online Geographic Virtual Reality for Urban Planning, The
* Usability of Sunlit-Shaded Area Separation in Individual Tree Species Classification
* Usability Study of Continuous Biometrics Authentication, An
* Usability testing of an overlay to improve face capture
* Usability Testing of Face Image Capture for US Ports of Entry
* USAC: A Universal Framework for Random Sample Consensus
* Usage-Centered Design Approach in Design of Malaysia Sexuality Education (MSE) Courseware
* Usage-Oriented Performance Evaluation for Text Localization Algorithms
* Usage of needle maps and shadows to overcome depth edges in depth map reconstruction
* Usage of Stereo Orthoimage in GIS: Old Concept, Modern Solution
* USB: Ultrashort Binary Descriptor for Fast Visual Matching and Retrieval
* USC Building Systems
* USC Image Understanding Research: 1988-89
* USC Image Understanding Research: 1992-1993
* USC Image Understanding Research: 1993-1994
* USC Image Understanding Research: 1994-1995
* USC RADIUS Related Research: An Overview
* Use and Representation of Knowledge in Image Understanding Based on Semantic Networks
* Use and Utility of High-Level Semantic Features in Video Retrieval, The
* Use bin-ratio information for category and scene classification
* Use IRAM for rasterization
* Use Neural Networks to Determine Matching Order for Recognizing Overlapping Objects
* Use of 2-Dimensional Deformable Mesh Structures for Video Coding: I The Synthesis Problem: Mesh-Based Function Approximation and Mapping
* Use of 2-Dimensional Deformable Mesh Structures for Video Coding: II The Analysis Problem and a Region-Based Coder Employing an Active Mesh Representation
* Use of 3-Dimensional and 4-Dimensional Surface Harmonics for Rigid and Nonrigid Shape Recovery and Representation, The
* Use of 3D Laser Scanning and 3D Modelling in the Realisation of an Artistic Vision; The Use of 3D Data in the Production of Large Scale Public Art in Tudor Square, Sheffield., The
* Use of 3D modeling for archeological archiving in a sensible area
* Use of 3D Models in Integrate Survey: The Church of St. Thomas of Villanova in Castel Gandolfo, The
* Use of a class of two-dimensional functions for blocking artifacts reduction in image coding
* Use of a Computer to Design Character Recognition Logic
* Use of a Confusion Network to Detect and Correct Errors in an On-Line Handwritten Sentence Recognition System
* Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study
* Use of a Dictionary in Conjunction with a Handwritten Texts Recognizer
* Use of a Frequency-Hopping Radar for Imaging and Motion Detection Through Walls
* Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots, The
* Use of a Pattern Recognition Technique for Determining Cloud Motions for Sequence of Satellite Photographs
* Use of a priori descriptions in a high-level language and management of the uncertainty in a scene recognition system
* Use of a Probabilistic Shape Model for Non-linear Registration of 3d Scattered Data
* Use of a Relational Pyramid Representation for View Classes in a CAD-to-Vision System, The
* Use of a Syntactic Shape Analyzer for Contour Matching, The
* Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior
* Use of Active Contours for the Detection of Coastlines in SAR images: A Modular Knowledge-based Framework, The
* Use of Active Deformable Models in Model-Based Robotic Visual Servoing, The
* Use of Active Shape Models For Locating Structure In Medical Images
* Use of adaptive segmentation in handwritten phrase recognition
* Use of Adaptive Still Image Descriptors for Annotation of Video Frames
* Use of Affine Invariants in Locally Likely Arrangement Hashing for Camera-Based Document Image Retrieval
* Use of aggregation pheromone density for image segmentation
* Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D, The
* Use of airborne video data for the characterization of tropical savannas in northern Australia: the optimal spatial resolution for remote sensing applications
* Use of ALS, Airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR
* Use of an Evidential Based Model for Representing Knowledge and Reasoning about Images in the VISIONS System, The
* Use of an Evolutive Base of Models in a System for Reading Printed Texts
* Use of an optical flow algorithm to quantify and correct patient motion during tomographic acquisition
* Use of Ant Colony Optimization for Finding Neighborhoods in Image Non-stationary Markov Random Field Classification
* Use of Artificial Color filtering to improve iris recognition and searching
* use of attention and spatial information for rapid facial recognition in video, The
* use of Audio-Visual Description Profile in 3D video content description, The
* Use of automated facial image analysis for measurement of emotion expression
* Use of Automotive Radars in Video-Based Overtaking Assistance Applications, The
* Use of band ratioing for building illumination independent texture classification systems
* Use of blur-space for deblurring and edge-preserving noise smoothing
* Use of Boolean Functions and Local Operations for Edge-Detection in Images, The
* Use of Boolean Model for Texture Analysis of Grey Images, The
* Use of Bootstrap Samples in Quadratic Classifier Design
* Use of C-Band Ground Penetrating Radar to Determine Backscatter Sources Within Glaciers
* Use of C-Band Scatterometer for Sea Ice Edge Identification
* Use of Captions and Other Collateral Text in Understanding Photographs
* Use of character recognition and syntax in locating address paragraphs in complex documents
* Use of Characteristic View Classes for 3D Object Recognition, The
* Use of Characteristic Views as a Basis for Recognition of Three-Dimensional Objects, The
* Use of characteristic views in image classification
* Use of Coherence Measurements between EEG and EMG on Identification of the Myoclonus Locus
* Use of Collateral Text in Image Interpretation
* Use of Collateral Text in Understanding Photos in Documents
* Use of Color in Computational Vision, The
* Use of Color in Highlight Identification, The
* Use of colour in form layout analysis
* Use of Coloured Tracers in Gas Flow Experiments for a Lagrangian Flow Analysis with Increased Tracer Density
* Use of commercial off-the-shelf digital cameras for scientific data acquisition and scene-specific color calibration
* use of complex transform for extraction circular arcs and straight lines in engineering drawings, The
* Use of Compound Predicates in Split-and-Merge Segmentation
* Use of Computer-Aided Screening for Detection of Motility Mutants in Zebrafish Embryos
* use of computer vision in monitoring weaving sections, The
* Use of Constraints for Interpreting Three-Dimensional Scenes
* Use of Context for False Alarm Reduction in SAR Automatic Target Recognition
* Use of Context in Cursive Script Recognition, The
* use of context in pattern recognition, The
* Use of Context in Video Processing
* Use of Context in Vision, The
* Use of Contextual Constraints in Recognition of Contour-Traced handprinted Characters
* Use of Continutiy in Character Recognition, A
* Use of Contour-Based DEMs for Deriving and Mapping Topographic Attributes
* Use of Convolution-Operators for Detecting Contaminants in Food Images, The
* Use of cortical filters and neural networks in a self-organising image classification system
* Use of Cues from Range Data for Automatic Building Modeling
* Use of Data Windows in Feature Extraction for High Dimensional PR Problems, The
* Use of Decision Tree and Multiscale Texture for Classification of JERS-1 SAR Data over Tropical Forest, The
* Use of Decision Trees in Colour Feature Selection. Application to Object Recognition in Outdoor Scenes
* Use of depth and colour eigenfaces for face recognition
* Use of Difference Fields in Processing Sensor Motion, The
* Use of Digital Pattern Recognition Techniques for Virtual Reconstruction of Eroded and Visually Complicated Archeological Geometric Patterns, The
* Use of DTMs/DSMs and Ortohimages to Support Building Extraction
* Use of Dynamic and Static Characteristics of Gait for Individual Identification, The
* Use of Eigenpictures for Optical Character Recognition, The
* Use of Emergable Watermarks as Copy Indicators for Securing Video Content
* use of entropy minimization for the solution of blind source separation problems in image analysis, The
* Use of ETM+ images to extend stem volume estimates obtained from LiDAR data
* Use of Existing Global Elevation Dataset for Absolute Orientation Of High Resolution Image Without Gcps, The
* Use of Explicit Knowledge and GIS Data for the 3D Evaluation of Remote Sensing Images
* Use of explicit knowledge for the reconstruction of 3-D object geometry
* Use of exterior contours and shape features in off-line signature verification
* use of eye movements in human-computer interaction techniques: What you look at is what you get, The
* Use of feedback strategies in the detection of events for video surveillance
* Use of Fiducials and Unsurveyed Landmarks as Geolocation Tools in Vehicular-Based Landmine Search
* Use of field reflectance data for crop mapping using airborne hyperspectral image
* Use of Figures in Literature Mining for Biomedical Digital Libraries
* Use of Fingerprint Contact Area for Biometric Identification, The
* use of first-order structuring-element libraries to design morphological filters, The
* Use of Force Histograms for Affine-Invariant Relative Position Description, The
* Use of four surface normal approximations and optimization of light direction for robust shape reconstruction from single images
* Use of Fourier and Karhunen-Loeve Decomposition for Fast Pattern-Matching with a Large Set of Templates
* Use of Fresnelets for Phase-Shifting Digital Hologram Compression
* use of fully polarimetric information for the fuzzy neural classification of SAR images, The
* Use of Gaussian Codebooks for Residual Vector Quantizers
* Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
* Use of generalised Procrustes analysis for the photogrammetric block adjustment by independent models
* use of genetic algorithms in morphological filter design, The
* Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications, The
* Use of Geographical Information Systems in Analyzing Vehicle Emissions: Istanbul as a Case Study
* Use of Geometric Algebra for 3D Modeling and Registration of Medical Data, The
* Use of Geometric and Grey-Level Models for Industrial Inspection, The
* Use of Geometric Histograms for Model-Based Object Recognition, The
* Use of Geometric Histograms for Model Based Object Recognition
* Use of Geometrical Constraints and Clustering to Determine 3D Object Pose
* Use of Geons for Generic 3-D Object Recognition, The
* use of Gibbs random fields for image segmentation, The
* Use of Global Context in Text Recognition, The
* Use of Gradient and Dual Space in Line-Drawing Interpretation, The
* use of gray-level information and fitting techniques for precise measurement of corneal curvature and thickness, The
* Use of Gray Value Distribution of Run Lengths for Texture Analysis
* Use of Grouping in Visual Object Recognition, The
* Use of Handheld Thermal Imager Data for Airborne Mapping of Fire Radiative Power and Energy and Flame Front Rate of Spread
* Use of Hidden Deletable Pixel Detection to Obtain Bias-Reduced Skeletons in Parallel Thinning, The
* Use of High-Level Knowledge for Enhanced Entry of Engineering Drawings, The
* Use of High-Pass Filters and the Inpainting Method to Clouds Removal and Their Impact on Satellite Images Classification, The
* use of high-resolution imagery for identification of urban climax forest species using traditional and rule-based classification approach, The
* use of high-resolution satellite imagery for deriving geotechnical parameters applied to landslide susceptibility, The
* Use of Homographies for View Synthesis, The
* Use of Hybrid Models to Recover Cardiac Wall Motion in Tagged MR Images, The
* Use of IFS Codes for Learning 2D Isolated-Object Classification Systems
* Use of Image Smoothness Estimates in Speeding Up Fractal Image Compression, The
* Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
* use of imaging and non-imaging Spectroscopy for the determination of stress phenomena of beech trees, The
* Use of In Situ and Airborne Multiangle Data to Assess MODIS- and Landsat-Based Estimates of Directional Reflectance and Albedo
* Use of Incremental Curvature for Describing and Analyzing Two-Dimensional Shape
* Use of Independent Component Analysis to Reduce Motion Artifact in Pulse Transit Time Measurement
* Use of Intensity-Hue-Saturation Transformation for Producing Color Shaded Relief Images, The
* Use of Intensity-Hue-Saturation Transformation of Landsat-5 Thematic Mapper Data for Burned Land Mapping, The
* Use of Invariants for Recognition of Three-Dimensional Color Textures
* use of kernel principal component analysis to model data distributions, The
* Use of Landsat and SRTM Data to Detect Broad-Scale Biodiversity Patterns in Northwestern Amazonia
* Use of leaf color images to identify nitrogen and potassium deficient tomatoes
* Use of Legal Amount to Confirm or Correct the Courtesy Amount on Farsi Bank Checks
* Use of Lexico-Syntactic Patterns for the Evaluation of Taxonomic Relations
* Use of Lexicon Density in Evaluating Word Recognizers
* Use Of Lidar And Volunteered Geographic Information To Map Flood Extents And Inundation, The
* Use of Line Spectral Frequencies for Emotion Recognition from Speech
* use of linked line segments for cluster representation and data reduction, The
* Use of Local Surface Curvature Estimation for Adaptive Vision System Based on Active Light Projection
* Use of Log Polar Space for Foveation and Feature Recognition
* Use of Low-Cost FM-CW Radar Sensors in Navigation, The
* Use of Markov Random Fields as Models of Texture, The
* Use of Markov Random Fields for automatic cloud/shadow detection on high resolution optical images
* Use of matrix polar decomposition for illumination-tolerant face recognition in discrete cosine transform domain
* Use of Maximum-Likelihood Estimation for Forming Images of Diffuse Radar-Targets from Delay-Doppler Data, The
* Use of Maximum Curvature Points for the Recognition of Partially Occluded Objects, The
* Use of Measurements from an Imaging Sensor for Precision Target Tracking
* Use of medial axis transforms for computing normals at boundary points
* Use of Median String for Classification
* Use of Mobile Laser Scanning Data and Unmanned Aerial Vehicle Images for 3D Model Reconstruction, The
* Use of Models in Studying Macrophage Cell Images and the Underlying Biological Processes
* Use of Modis Data To Define Natural Boundaries and Regions In The Marine Water Column, The
* Use of Monocular Groupings and Occlusion Analysis in a Hierarchical Stereo System
* Use of morphological image processing techniques for the measurement of a fetal head from ultrasound images
* Use of Motion Estimation to Improve Video Watermarking for MPEG Encoders
* Use of Motion Information in Super-Resolution Mosaicing
* Use of Motion Statistics for Vanishing Point Estimation in Camera-Mirror Scenes
* Use of multi-annual MODIS Land Surface Temperature data for the characterization of the heat requirements for grapevine varieties
* Use of Multiple Cameras and Geometric Constraints for 3-D Measurement, The
* Use of Multiple Contexts for Real Time Face Identification
* Use of Multiple Difference-of-Gaussian Filters to Verify Geometric Models
* Use of Multiple Measurements in Taxonomic Problems, The
* Use of Multiresolution Wavelet Feature Pyramids for Automatic Registration of Multisensor Imagery
* Use of Multisensor Data for Robotic Applications, The
* Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy
* Use of Neural Networks for Automatic Classification From High-Resolution Images
* Use of Neural Networks for Behaviour Understanding in Railway Transport Monitoring Applications
* Use of Neural Networks in Automatic Caricature Generation: An Approach Based on Drawing Style Capture
* Use of Neural Networks to Estimate the Number of Nodes of an Edge Quadtree
* Use of Nonlinear Principal Component Analysis and Vector Quantization for Image Coding
* Use of Normal Tissue Context in Computer-Aided Detection of Masses in Mammograms
* Use of Nuclear Texture Parameters in the Automatic Analysis of Leukocytes, The
* Use of Numerical Relational Distance and Symbolic Differences for Organizing Models and for Matching, The
* Use of Objects' Faces in Interpreting Line Drawings, The
* use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound, The
* Use of Optical-Flow for the Analysis of Nonrigid Motions, The
* Use of Optical Flow for the Autonomous Navigation, The
* Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination
* Use of Perceptual Organization in the Prediction of Geometric Structures, The
* Use of phase diversity and modified phase congruence for edge enhancement in ultrasonic imaging
* Use of physics based models in hyperspectral image exploitation
* Use of power law models in detecting region of interest
* Use of Pre-interleaving for Video Streaming Over Wireless Access Networks
* Use of Quadrature Filters for Detection of Stellate Lesions in Mammograms
* Use of Quadtrees for Edge Enhancement
* Use of random graph parsing for scene labelling by probabilistic relaxation
* Use of random time-intervals (RTIs) generation for biometric verification
* Use of Range and Reflectance Data to Find Planar Surface Regions
* Use of Reality Models in Augmented Reality Applications, The
* Use of remote sensing and geographic information tools for irrigation management of citrus trees
* Use of remote sensing in understanding spring pheneology over the forest dominant natural subregions of Alberta
* Use of remote sensing to screen earthen levees
* Use of Residuals in Image Denoising, The
* Use of ridge regression for improved estimation of kinetic constants from PET data
* use of Roentgen stereophotogrammetry to study micromotion of orthopaedic implants, The
* Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images
* Use Of Satellite Imagery To Guide Field Plot Sampling Scheme For Biomass Estimation In Ghanaian Forest, The
* Use of Satellite Radar Bistatic Measurements for Crop Monitoring: A Simulation Study on Corn Fields
* Use of Segmentation and Shape Recognition Techniques in Synthetic Aperture Radar Images, The
* Use of Semantic and Physical Constraints in Bayesian Networks for Form Recognition
* Use of Semantic Human Description as a Soft Biometric, The
* Use of Semivariograms to Identify Earthquake Damage in an Urban Area
* Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery
* Use of Shadows for Extracting Buildings in Aerial Images
* Use of simplex search in active shape models for improved boundary segmentation
* use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques, The
* Use of Size Functions for Comparison of Shapes Through Differential Invariants, The
* Use of Skeletons for Recognition and Representation
* Use of Soil-Landscape Relationships Modelling and Geotechnologies for Detailing the Soil Map Of Distrito Federal in Brazil, The
* Use of space filling curves in fast encoding of VQ images
* Use of Sparse Representation for Pedestrian Detection in Thermal Images
* Use of Spatial Reference Systems in Interactive Object Recognition
* Use of Spatially Random Base Stations in Cloud Radio Access Networks, The
* Use of spectroscopy for assessment of color discrimination in animal vision
* Use of stereo-matching to coregister multiangle data from MISR
* use of stereo and motion in a generic object-based coder, The
* Use of stochastic grammars for hypnogram analysis
* Use of Structured Pattern Representations for Combining Classifiers
* use of super-resolution techniques to reduce slice thickness in functional MRI, The
* Use of Symmetry Chords for Expressing Grey Level Constraints, The
* Use of Synthesized Images to Evaluate the Performance of Optical Character Recognition Devices and Algorithms, The
* Use of synthetic bands derived from mixing models in the multispectral classification of remote sensing images
* use of temporal, semantic and visual partitioning model for efficient near-duplicate keyframe detection in large scale news corpus, The
* Use of Texture Concept and Parametric Imaging Concept for Biomedical Image Segmentation
* Use of Texture Operators in Image Segmentation
* Use of the angle information in the wavelet transform maxima for image de-noising
* Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms, The
* Use of the Bradley-Terry Model to Quantify Association in Remotely Sensed Images
* Use of the Delaunay Triangulation for the Identification and the Localization of Objects
* Use of the Facet Model and the Topographic Primal Sketch in Image Analysis, The
* Use of the Gray-Level SAT to Find the Salient Cavities in Echocardiograms, The
* use of the grey level SAT to find the salient cavities in echocardiograms, The
* Use of the Hough transform for image data compression
* Use of the Hough Transform to Detect Lines and Curves in Pictures
* Use of the Hough transform to separate merged text/graphics in forms
* Use of the novelty detection technique to identify the range of applicability of empirical ocean color algorithms
* Use of the Radon Transform As a Method of Extracting Information About Shape in Two Dimensions
* Use of the rational function model for imagery rectification
* Use of the RS decoder as an RS encoder for two-way digital communications and storage systems
* Use of the surface-attribute probe for 3-D object characterization
* Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles
* Use of Three-Dimensional Gaussian Interpolation in the Projector/Backprojector Pair of Iterative Reconstruction for Compensation of Known Rigid-Body Motion in SPECT
* use of tongue protrusion gestures for video-based communication, The
* Use of Topographic Information to Improve a Land Cover Classification Image: Preliminary Results
* Use of UAS for Assessing Agricultural Systems in an Wetland in Tanzania in the Dry- and Wet-Season for Sustainable Agriculture and Providing Ground Truth For TERRA-SAR X Data, The
* Use of UAV Systems for Mapping of Built-Up Area, The
* Use of Ubiquitous Technologies in Military Logistic System In Iran
* Use of Ultrasound and Computer Vision for 3D Reconstruction
* Use of Vanishing Point for the Classification of Reflections From Foreground Mask in Videos, The
* Use of Variance and Entropic Thresholding Methods for Image Segmentation, The
* Use of Viewpoint Information for Example Selection in CBIR
* use of visual search for knowledge gathering in image decision support, The
* use of watermarks in the protection of digital multimedia products, The
* Use of Wavelet-Based Denoising Techniques to Enhance the First-Arrival Picking on Seismic Traces, The
* Use of Wavelets for Noise Detection in the Images Taken by the Analog and Digital Photogrammetric Cameras, The
* Use of Zoom within Active Vision, The
* Use the Fuzzy Hough transform towards reduction of the precision/uncertainty duality
* Use Your Hand as a 3-D Mouse or Relative Orientation from Extended Sequences of Sparse Point and Line Correspondences Using the Affine Trifocal Tensor
* Useful Computer Vision Techniques for Human-Robot Interaction
* Useful features for human verification in near-infrared periocular images
* Useful Geometric Properties of the Generalized Cone
* Useful information plane on pattern classification
* Usefulness of boundary sequences in computing shape features for arbitrary shaped regions
* Usefulness of Retina Codes in Biometrics
* USeg: A Retargetable Word Segmentation Procedure for Information Retrieval
* User's Search Behavior Graph for Aiding Personalized Web Search
* User-Action-Driven View and Rate Scalable Multiview Video Coding
* User-adaptive hand gesture recognition system with interactive training
* User-adaptive home video summarization using personal photo libraries
* User-adaptive mobile video streaming
* User-Agent Cooperation in Multiagent IVUS Image Segmentation
* User-Appropriate Viewer for High Resolution Interactive Engagement with 3D Digital Cultural Artefacts
* User-assisted archive document image analysis for digital library construction
* User-Assisted Ink-Bleed Reduction
* User-Aware Image Tag Refinement via Ternary Semantic Analysis
* User-aware object-based video transmission over the next generation Internet
* User-Calibration-Free Gaze Estimation Method Using a Binocular 3D Eye Model
* User-Centered Computer Vision
* User-Centered Design of an Interactive Off-Line Handwritten Architectural Floor Plan Recognition
* User-Centered Evaluation (UCE) Methods and Metrics
* User-Centred System for End-to-End Secure Multimedia Content Delivery: From Content Annotation to Consumer Consumption, A
* User-Centric Design of a Vision System for Interactive Applications
* User-Centric Environment Discovery With Camera Networks in Smart Homes
* User-centric image segmentation using an interactive parameter adaptation tool
* User-Centric Learning and Evaluation of Interactive Segmentation Systems
* User-centric speaker report: Ranking-based effectiveness evaluation and feedback
* User-centric universal multimedia access in home networks
* User-configurable OCR enhancement for online natural history archives
* User-controlled simplification of polygonal models
* User-Customizable Urban Traffic Information Collection Method Based on Wireless Sensor Networks, A
* User-Defined Expected Error Rate in OCR Postprocessing by Means of Automatic Threshold Estimation
* User-defined gestural interaction: A study on gesture memorization
* User-defined ROI tracking for estimation of the myocardial blush grade
* User-Directed Analysis of Scanned Images
* User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models
* User-driven lossy compression for images and video
* User-driven page layout analysis of historical printed books
* User-driven saliency maps for evaluating Region-of-Interest detection
* User-friendly image sharing using polynomials with different primes
* User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
* user-friendly method to geometrically calibrate projector-camera systems, A
* User-Friendly Random-Grid-Based Visual Secret Sharing
* User-guided pedestrian and object removal
* User-Guided Shape from Shading to Reconstruct Fine Details from a Single Photograph
* User-Guided Wrapping of PDF Documents Using Graph Matching Techniques
* User-independent system for sign language finger spelling recognition
* User-Oriented Affective Video Content Analysis
* User-Oriented QoS Analysis in MPEG-2 Video Delivery
* User-Oriented Social Analysis across Social Media Sites
* User-side adaptive protection of location privacy in participatory sensing
* user-specific and selective multimodal biometric fusion strategy by ranking subjects, A
* User-Specific Hand Modeling from Monocular Depth Sequences
* User-Steered Image Segmentation Paradigms: Live Wire and Live Lane
* User-Steered Image Segmentation Using Live Markers
* User Adaptive Clustering for Large Image Databases
* User and Device Adaptation in Summarizing Sports Videos
* User assisted disparity remapping for stereo images
* User Assisted Modeling of Buildings from Aerial Images
* User Assisted Modeling of Buildings
* User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior
* User assisted stereo image segmentation
* User Attention Based Arousal Content Modeling
* User Authentication based on Face Recognition with Support Vector Machines
* User authentication based on foot motion
* User Authentication Based on JPEG2000 Images
* User Authentication through Typing Biometrics Features
* User Authentication Using Fusion Of Face And Palmprint
* User centered design of gesture-based interaction technology
* User centered image management system for digital libraries
* User Classification for Keystroke Dynamics Authentication
* User defined topological predicates in database systems
* User Dependent Definition of the Information in Images and Its Use in Information Retrieval, A
* User directed view synthesis on OMAP processors
* User Driven 3d Reconstruction Environment
* User driven innovation in smart displays: Lessons from the entertainment industry
* User Driven Two-Dimensional Computer-Generated Ornamentation
* User Evaluation of the RADIUS Testbed System
* User Experience Design in Professional Map-Based Geo-Portals
* User Experience of Gesture Based Interfaces: A Comparison with Traditional Interaction Methods on Pragmatic and Hedonic Qualities
* User Experience of Hurricane Visualization in an Immersive 3D Environment
* User Feedback, Learning in the Query, Relevance Feedback
* User Feedback, Video Indexing, Video Retrieval, Relevance Feedback
* User Friendly Open GIS Tool for Large Scale Data Assimilation: A Case Study of Hydrological Modelling
* User guided visualization for target search
* User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis
* User Intentions in Digital Photo Production: A Test Data Set
* User Interaction, Relevance Feedback, External Information
* User interactive multiple aerial view analysis for reconstructing a large number of 3D architectural models
* User Interface Design For Acquiring Statistics From Video, A
* User interface for a system and method for head size equalization in 360 degree panoramic images
* User Interface Representation for Image Understanding
* User Interface Technologies for a Virtual Communication Space
* User Localisation for Visually-Based Human-Machine-Interaction
* User oriented language model for face detection
* User Programmable Visual Inspection
* User Strategies in Video Retrieval: A Case Study
* User Study Comparing 3D Modeling with Silhouettes and Google SketchUp, A
* User Study in Non-static HDR Scenes Acquisition
* User variance and its impact on video retrieval benchmarking
* User Verification by Combining Speech and Face Biometrics in Video
* Users plan optimization for participatory urban texture documentation
* Users with Disabilities: Maximum Control with Minimum Effort
* Using 2D Active Contour Models for 3D Reconstruction from Serial Sections
* Using 2D C+-strings as spatial knowledge representation for image database systems
* Using 3-Dimensional Meshes to Combine Image-Based and Geometry-Based Constraints
* Using 3D-Bresenham for resampling structured grids
* Using 3D Features to Improve Terrain Classification
* Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images
* Using 3D Models for Real-Time Facial Feature Tracking, Pose Estimation, and Expression Monitoring
* Using 3D models for the segmentation of image sequences
* Using 3D Models for Visualizing The City as it Might be
* Using 3D Models to Recognize 2D Faces in the Wild
* Using 3D pose alignment tools in forensic applications of Face Recognition
* Using 3D scene structure to improve tracking
* Using 3D Spline Differentiation to Compute Quantitative Optical Flow
* Using a 3D Position Sensor for Registration of Spect and US Images of the Kidney
* Using a Binary Space Partitioning Tree for Reconstructing Polyhedral Building Models from Airborne Lidar Data
* Using a boosted tree classifier for text segmentation in hand-annotated documents
* Using a category to analyze an image showing a graphical representation
* Using a Color Reflection Model to Separate Highlights from Object Color
* Using a Combined Stereo/Temporal Matcher to Determine Ego-motion
* Using a Connected Filter for Structure Estimation in Perspective Systems
* Using a Deformable Surface Model to Obtain a Shape Representation of the Cortex
* Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision
* Using a DEM to Determine Geospatial Object Trajectories
* Using a Finite Element Method for Active Contour Models and 3-D Reconstruction from Cross Sections
* Using a flexibility constrained 3D statistical shape model for robust MRF-based segmentation
* Using a fuzzy framework for delineation and decomposition of Immunoglobulin G in cryo electron tomographic images
* Using a Fuzzy Inference System to Reduce False Positives in Intrusion Detection
* Using a game to evaluate image retrieval, organization, and annotation
* Using a Generalized Linear Mixed Model to Study the Configuration Space of a PCA+LDA Human Face Recognition Algorithm
* Using a Geometric Formulation of Annular-Like Shape Priors for Constraining Variational Level-Sets
* Using a Head-up Display-Based Steady-State Visually Evoked Potential Brain: Computer Interface to Control a Simulated Vehicle
* Using a hierarchical approach to avoid over-fitting in early vision
* Using a High-Fidelity Simulation Framework for Performance Singularity
* Using a Linear Subspace Approach for Invariant Subpixel Material Identification in Airborne Hyperspectral Imagery
* Using a Markov Network to Recognize People in Consumer Images
* Using a Micro-UAV for Ultra-High Resolution Multi-sensor Observations Of Antarctic Moss Beds
* Using a Mixed Wave-Diffusion Process to Elicit the Symmetry Set
* Using a Movable RFID Antenna to Automatically Determine the Position and Orientation of Objects on a Tabletop
* Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition
* Using a New Search Strategy to Improve the Performance of N-FINDR Algorithm for End-Member Determination
* Using a partitioned dictionary for contextual post-processing of OCR-results
* Using a pictorial dictionary as a high level user interface for visual information retrieval
* Using a probabilistic source model for comparing images
* Using a Probabilistic Syllable Model to Improve Scene Text Recognition
* Using a Product Manifold distance for unsupervised action recognition
* Using a Raster Display for Photometric Stereo
* Using a Simple Shape Measure to Improve Automatic 3D Reconstruction
* Using a Smartphone to Measure Heart Rate Changes during Relived Happiness and Anger
* Using a Spatio-Temporal GIS Database to Monitor the Spatial Evolution of Urban Flooding Phenomena. The Case of Athens Metropolitan Area in Greece
* Using a Spectral Reflectance Model for the Illumination-Invariant Recognition of Local Image Structure
* Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain
* Using a Structured World Model in Flexible Recognition of Two Dimensional Patterns
* Using a Tensor Framework for the Analysis of Facial Dynamics
* Using a Topological Descriptor to Investigate Structures of Virus Particles
* Using a Virtual Environment to Teach Cancer Patients, T'Ai Chi, Relaxation and Self-Imagery
* Using a Virtual World to Design a Simulation Platform for Vision and Robotic Systems
* Using a Visual Discrimination Model for the Detection of Compression Artifacts in Virtual Pathology Images
* Using a wavelet-based fractal feature to improve texture discrimination on SAR images
* Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
* Using Active Contours and Fourier Descriptors for Motion Tracking with Applications in MRI
* Using active contours and mathematical morphology tools for quantification of immunohistochemical images
* Using Active Illumination for Accurate Variational Space-Time Stereo
* Using Active Vision to Simplify Perception for Robot Driving
* Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems
* Using adapted Levenshtein distance for on-line signature authentication
* Using Adaptive Filter to Increase Automatic Speech Recognition Rate in a Digit Corpus
* Using Adaptive Run Length Smoothing Algorithm for Accurate Text Localization in Images
* Using Adaptive Tone Mapping to Enhance Edge-Preserving Color Image Automatically
* Using Adaptive Tracking to Classify and Monitor Activities in a Site
* Using Aerial Imagery and GIS in Automated Building Footprint Extraction and Shape Recognition for Earthquake Risk Assessment of Urban Inventories
* Using Aerosol Reflectance for Dust Detection
* Using Aesthetic and Empathetic Expressions to Motivate Desirable Lifestyle
* Using Affine Correspondence to Estimate 3-d Facial Pose
* Using affine features for an efficient binary feature descriptor
* Using Affine Invariants on Perspective Projections of Plane Curves
* Using Affinity for Extracting Images of Moving Objects from TV-Frame Sequences
* Using Airborne Laser-Scanner-Data in Forestry Management: A Novel Approach to Single Tree Delineation
* Using Airborne Laser Scanner Data and CIR Orthophotos to Estimate the Stem Volume of Forest Stands
* Using Airborne Lidar for the Assessment of Canopy Structure Influences on CO2 Fluxes
* Using Airborne Small-Footprint Laser Scanner to Assess the Quantity of Seedlings in an Uneven-Aged Spruce Forest
* Using Algebraic Functions of Views for Indexing-Based Object Recognition
* Using Alpha Shapes to Approximate Signal Strength Based Positioning Performance
* Using an Active Shape Structural Model for Biometric Sketch Recognition
* Using an adaptive VAR Model for motion prediction in 3D hand tracking
* Using an artificial imagination for texture retrieval
* Using an Exact Performance of Hough Transform for Image Text Segmentation
* Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3-D Medical Images
* Using an ICA Representation of High Dimensional Data for Object Recognition and Classification
* Using an ICA representation of local color histograms for object recognition
* Using an Image Retrieval System for Vision-Based Mobile Robot Localization
* Using an Image Tree to Assist Stereo Matching
* Using an MRI distortion transfer function to characterize the ghosts in motion-corrupted images
* Using Analogy to Cluster Hand-Drawn Sketches for Sketch-Based Educational Software
* Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images
* Using Angle Densities for 3-D Recognition
* Using Angular Dispersion of Gradient Direction for Detecting Edge Ribbons
* Using Animation in Active Learning Tool to Detect Possible Attacks in Cryptographic Protocols
* Using anisotropic diffusion equations in pixon domain for image de-noising
* Using Anisotropic Diffusion of Probability Maps for Activity Detection in Block-design Functional MRI
* Using Apes for Interferometric SAR Imaging
* Using apparent boundary and convex hull for the shape characterization of foraminifera images
* Using Appearance and Context for Outdoor Scene Object Classification
* Using Approximate Models as Source of Contextual Information for Vision Processing
* Using Arbitrary Region Coding
* Using ArcGIS Model Builder for object-based image classification of seagrass meadows
* Using artificial queries to evaluate image retrieval
* Using ASM in CT Data Segmentaion for Prostate Radiotherapy
* Using Association Rules as Texture Features
* Using Associative Memory Principles to Enhance Perceptual Ability of Vision Systems
* Using attention for video segmentation
* Using attribute trees to analyse auroral appearance over Canada
* Using attributed plex grammars for the generation of image and graph databases
* Using Augmented Reality and Interactive Simulations to Realize Hybrid Prototypes
* Using Automatically Constructed View-Independent Relational Model in 3D Object Recognition
* Using B-spline curves for hand recognition
* Using background audio change detection for segmenting video
* Using Background Knowledge in Multilayer Perceptron Learning
* Using background memory for efficient video coding
* Using bandwidth aggregation to improve the performance of quality-adaptive streaming
* Using Basic Image Features for Texture Classification
* Using Bayesian Network for combining classifiers
* Using Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
* Using behavior analysis algorithms to anticipate security threats before they impact mission critical operations
* Using Beltrami Framework for Orientation Diffusion in Image Processing
* Using bidimensional regression to assess face similarity
* Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences
* Using Bilinear Models for View-invariant Action and Identity Recognition
* Using Biologically Inspired Features for Face Processing
* Using Blood Vessels Location Information in Optic Disk Segmentation
* Using Boosting to Improve Oil Spill Detection in SAR Images
* Using boosting to prune bagging ensembles
* Using Boundary Conditions for Combining Multiple Descriptors in Similarity Based Queries
* Using bounded-influence M-estimators in multi-frame super-resolution reconstruction: A comparative study
* Using Bounded Diameter Minimum Spanning Trees to Build Dense Active Appearance Models
* Using Brain Imaging to Interpret Student Problem Solving
* Using Browsing to Improve Content-Based Image Retrieval
* Using building and bridge information for adapting roads to ALS data by means of network snakes
* Using Calibrated Camera for Euclidean Path Modeling
* Using Camera Motion to Estimate Range for Robotic Parts Manipulation
* Using Canny's Criteria to Derive a Recursively Implemented Optimal Edge Detector
* Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework
* Using Catastrophe Theory to Derive Trees from Images
* Using Category-based Collaborative Filtering in the Active WebMuseum
* Using Causal Scene Analysis to Direct Focus of Attention
* Using CBIR and Pathfinder Networks for Image Database Visualisation
* Using CCD Moiré Pattern Analysis to Implement Pressure-Sensitive Touch Surfaces
* Using Cellular Automata to Form Car Society in Vehicular Ad Hoc Networks
* Using Cellular Neural Network to See random-dot stereograms
* Using Centroid Covariance in Target Recognition
* Using character recognition and segmentation to tell computer from humans
* Using character shape coding for information retrieval
* Using Chou's pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier
* Using Chromatic Information in Dense Stereo Correspondence
* Using Chromatic Information in Edge-Based Stereo Correspondence
* Using Chromaticity Distributions and Eigenspace Analysis for Pose-, Illumination- and Specularity-Invariant Recognition of 3D Objects
* Using circular statistics for trajectory shape analysis
* Using Circular Symmetry and Intensity Profiles for Computer Vision Inspection
* Using citing information to understand the logical structure of document images
* Using Class Separation for Feature Analysis and Combination of Class-Dependent Features
* Using classifiers as heuristics to describe local structure in Active Shape Models with small training sets
* Using closed captions to train activity recognizers that improve video retrieval
* Using cloud shadows to infer scene structure and camera calibration
* Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
* Using Co-training and Self-training in Semi-supervised Multiple Classifier Systems
* Using codebooks of fragmented connected-component contours in forensic and historic writer identification
* Using collaborative learning for image contrast enhancement
* Using collaborative recommendations to enhance sensor web's utility as a decision making tool
* Using Collinear Points to Compute Egomotion and Detect Nonrigidity
* Using Collineations to Compute Motion and Structure in an Uncalibrated Image Sequence
* Using color bin images for crowd detections
* Using Color Compatibility for Assessing Image Realism
* Using Color for Geometry-Insensitive Segmentation
* Using color histogram normalization for recovering chromatic illumination-changed images
* Using color reach histogram for object search in colour and/or depth scene
* Using color texture sparsity for facial expression recognition
* Using Color to Computer Optical Flow
* Using Color to Separate Reflection Components
* Using colour information to understand censorship cards of film archives
* Using colour local binary pattern features for face recognition
* Using Colour Templates for Target Identification and Tracking
* Using colour, texture, and hierarchial segmentation for high-resolution remote sensing
* Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image
* Using Combination of Structural, Feature and Raster Classifiers for Recognition of Hand-Printed Characters
* Using Complex Gabor Filters to Detect and Localize Edges and Bars
* Using component features for face recognition
* Using computational models to study texture representations in the human visual system
* Using Computer Vision to Control a Reactive Computer Graphics Character in a Theater Play
* Using Concept Recognition to Annotate a Video Collection
* Using Conditional Random Field for Crowd Behavior Analysis
* Using Configuration States for the Representation and Recognition of Gesture
* Using Confusion Reject to Improve (User and) System (Cross) Learning of Gesture Commands
* Using Conic Correspondence in Two Images to Estimate the Epipolar Geometry
* Using Consensus Sequence Voting to Correct OCR Errors
* Using Constancy of Distance to Estimate Position and Displacement in Space
* Using Constraint Lines for Estimating Egomotion
* Using Context in the Global Recognition of a Set of Objects: An Optimization Approach
* Using context saliency for movie shot classification
* Using Context to Control Computer Vision Algorithms
* Using Context to Create Semantic 3d Models of Indoor Environments
* Using contextual information for image retrieval
* Using Contextual Information to Set Control Parameters of a Vision Process
* Using Continuous Face Verification to Improve Desktop Security
* Using continuous features in the maximum entropy model
* Using contours to detect and localize junctions in natural images
* Using Coplanar Circles to Perform Calibration-Free Planar Scene Analysis under a Perspective View
* Using Coupled Subspace Models for Recovery of Reflectance Spectra from Airborne Images
* Using Coupled Subspace Models for Reflectance/Illumination Separation
* Using covariance matrices for unsupervised texture segmentation
* Using Crest Lines to Guide Surface Reconstruction from Stereo
* Using cross-media correlation for scene detection in travel videos
* Using cross-ratios to model curve data for aircraft recognition
* Using Crowdsourced Geodata for Agent-Based Indoor Evacuation Simulations
* Using Curvature Features in a Multiclassifier OCR System
* Using Curvelet transform for watermarking based on amplitude modulation
* Using DaVinci Technology for Digital Video Devices
* Using DDM Asymmetry Metrics for Wind Direction Retrieval From GPS Ocean-Scattered Signals in Airborne Experiments
* Using Deformable Surfaces to Segment 3-D Images and Infer Differential Structures
* Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments
* Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
* Using dendronal signatures for feature extraction and retrieval
* Using Dependent Regions for Object Categorization in a Generative Framework
* Using Depth-is-Positive Constraint to Recover Translational Motion
* Using depth features to retrieve monocular video shots
* Using Depth to Extend Randomised Hough Forests for Object Detection and Localisation
* Using derivatives in a longest common subsequence dissimilarity measure for time series classification
* Using Detailed Independent 3d Sub-models to Improve Facial Feature Localisation and Pose Estimation
* Using DGPS trajectory to evaluate an ortho-rectification method designed for flash radar images
* Using diagonals of orthogonal projection matrices for affine invariant contour matching
* Using Diagram Generation Software to Improve Diagram Recognition: A Case Study of Music Notation
* Using differential constraints to generate a 3D face model from stereo
* Using Differential Constraints to Reconstruct Complex Surfaces from Stereo
* Using Differential Geometry in R4 to Extract Typical Features in 3D Density Images
* Using Differential Geometry in R4 to Extract Typical Features in 3D Images
* Using Differential Properties for Stereo Reconstruction of Complex Surfaces
* Using diffusion equations for improving performance of wavelet-based image denoising techniques
* Using digital photographs and object-based image analysis to estimate percent ground cover in vegetation plots
* Using Dihedral Angles for Edge Extraction in Range Data
* Using DInSAR to Separate Surface and Subsurface Features
* Using directional statistics to learn cast shadows from a multi-spectral light sources physical model
* Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
* Using Discriminant Eigenfeatures for Image Retrieval
* Using Discrimination Graphs to Represent Visual Interpretations that Are Hypothetical and Ambiguous
* Using disparity for quality assessment of stereoscopic images
* Using Disparity Functionals for Stereo Correspondence and Surface Reconstruction
* Using distance transform based algorithms for extracting measures of the fiber network in volume images of paper
* Using distance transform to solve real-time machine vision inspection problems
* Using distance transforms to decompose 3D discrete objects
* Using Distributed Partial Memories to Improve Self-Organizing Collective Movements
* Using distributed source coding and depth image based rendering to improve interactive multiview video access
* Using diversity measures for generating error-correcting output codes in classifier ensembles
* Using diversity of errors for selecting members of a committee classifier
* Using Domain Knowledge in Low-Level Visual Processing to Interpret Handwritten Music: An Experiment
* Using dominant points and variants for profile extraction from chromosomes
* Using Dominant Sets for k-NN Prototype Selection
* Using Dominant Sets for Object Tracking with Freely Moving Camera
* Using dynamic Bayesian network for scene modeling and anomaly detection
* Using Dynamic Programming for Minimizing the Energy of Active Contours in the Presence of Hard Constraints
* Using Dynamic Programming for Solving Variational Problems in Vision
* Using dynamic time warping of T0 contours in the evaluation of cycle-to-cycle Pitch Detection Algorithms
* Using Dynamically Promoted Experts for Music Recommendation
* Using Ear Biometrics for Personal Recognition
* Using Earth Mover's Distance in the Bag-of-Visual-Words Model for Mathematical Symbol Retrieval
* Using eigen-deformations in handwritten character recognition
* Using eigencolor normalization for illumination-invariant color object recognition
* Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data
* Using eigenvectors of a vector field for deriving a second directional derivative operator for color images
* Using Elimination Methods to Compute Thermophysical Algebraic Invariants from Infrared Imagery
* Using encoding cost data for segmentation of compressed image sequences
* Using Enhanced Spherical Images for Object Representation
* Using Evolution to Learn How to Perform Interest Point Detection
* Using evolutionary algorithms for model-based clustering
* Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks
* Using Exotic Guidance for PLEIADES-HR Image Quality Calibration
* Using Expectation-Maximisation to Learn a Dynamical Model for a Tracker from Measurement Sequences
* Using Expectation-Maximisation to Learn Dynamical Models from Visual Data
* Using Expert Systems for Image Understanding
* Using Extended EM to Segment Planar Structures in 3D
* Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
* Using Extended Three-valued Increment Sign for a denoising model of high-frequency artifacts in JPEG images by estimation of specific frequency
* Using Extremal Boundaries for 3-D Object Modeling
* Using eye gaze, head pose, and facial expression for personalized non-player character interaction
* Using Eye Reflections for Face Recognition Under Varying Illumination
* Using Eye Region Biometrics to Reveal Affective and Cognitive States
* Using Face Detection for Browsing Personal Slow Video in a Small Terminal and Worn Camera Context
* Using face morphing to protect privacy
* Using Face Quality Ratings to Improve Real-Time Face Recognition
* Using facial symmetry in the illumination cone based 3D face reconstruction
* Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition
* Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking
* Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images
* Using Feature Combination and Statistical Resampling for Accurate Face Recognition Based on Frequency Domain Representation of Facial Asymmetry
* Using Feature Probabilities to Reduce the Expected Computational Cost of Template Matching
* Using Feature Selection For Object Segmentation and Tracking
* Using Field Interdependence to Improve Correction Performance in a Transducer-Based OCR Post-Processing System
* Using First- and Second-Order Variograms for Characterizing Landscape Spatial Structures From Remote Sensing Imagery
* Using Flow Field Divergence for Obstacle Avoidance: Towards Qualitative Vision
* Using Focus of Attention with the Hough Transform for Accurate Line Parameter-Estimation
* Using Force Fields Derived from 3D Distance Maps for Inferring the Attitude of a 3D Rigid Object
* Using Formal Verification to Evaluate Human-Automation Interaction: A Review
* Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
* Using Fourier local magnitude in adaptive smoothness constraints in motion estimation
* Using Fourier/Mellin-based correlators and their fractional versions in navigational tasks
* Using fractal encoding for image indexing
* Using fragile bit coincidence to improve iris recognition
* Using Frontier Points to Recover Shape, Reflectance and Illumunation
* Using full motion 3D Flash LIDAR video for target detection, segmentation, and tracking
* Using fuzzy logic to analyze superscript and subscript relations in handwritten mathematical expressions
* Using fuzzy methods to model nearest neighbor rules
* Using Gabor Filters to Measure the Physical Parameters of Lines
* Using Gait Change for Terrain Sensing by Robots
* Using Gait Features for Improving Walking People Detection
* Using Galois Theory to Prove Structure from Motion Algorithms are Optimal
* Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations
* Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
* Using Gaussian Processes for Human Tracking and Action Classification
* Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology
* Using Generative Models for Handwritten Digit Recognition
* Using Generic Geometric and Physical Models For Representing Solids
* Using Generic Geometric Models for Intelligent Shape Extraction
* Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study
* Using genetic algorithm optimizing stack filters based on MMSE criterion
* Using Genetic Algorithms for Solving Hard Problems in GIS
* Using Genetic Algorithms to Estimate Confidence Intervals for Missing Spatial Data
* Using Genetic Algorithms to Find Person-Specific Gabor Feature Detectors for Face Indexing and Recognition
* Using Genetic Algorithms to Improve Matching Performance of Changeable biometrics from Combining PCA and ICA Methods
* Using geomatics and airborne laser scanning for rockfall risk zoning: A case study in the french alps
* Using Geometric-Properties For Automatic Object Positioning
* Using Geometric Constraints for Matching Disparate Stereo Views of 3d Scenes Containing Planes
* Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
* Using Geometric Constraints to Solve the Point Correspondence Problem in Fringe Projection Based 3D Measuring Systems
* Using Geometric Corners to Build a 2D Mosaic from a Set of Images
* Using Geometric Distance Fits for 3-D Object Modeling and Recognition
* Using geometric extrema for segment-to-segment characteristics comparison in online signature verification
* Using geometric hashing to repair CAD objects
* Using Geometric Hashing with Information Theoretic Clustering for Fast Recognition from a Large CAD Modelbase
* Using Geometric Information in Prototype Selection for the Nearest Neighbour Rule
* Using geometric processing in the visualization of ring features in tomographic images of wood
* Using Geometric Properties for Correspondence-less Image Alignment
* Using Geometric Properties of Correspondence Vectors for the Registration of Free-form Shapes
* Using Geometric Properties to Evaluate Possible Integration of Authoritative and Volunteered Geographic Information
* Using Geometrical Information for Accurate Scene Understanding in an Artificial Vision System
* Using Geometrical Rules and a Priori Knowledge for the Understanding of Indoor Scenes
* Using Geometry Invariants for Camera Response Function Estimation
* Using geometry towards stereo dense matching
* Using global bag of features models in random fields for joint categorization and segmentation of objects
* Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated Camera
* Using GPUs for machine learning algorithms
* Using Gradient Information to Enhance the Progressive Probabilistic Hough Transform
* Using Gradient Orientation to Improve Least Squares Line Fitting
* Using Grammar-Based Recognizers for Symbol Completion in Diagrammatic Sketches
* Using Grammars for Scene Interpretation
* Using Graph Theory to Identify Aberrant Hierarchical Patterns in Parkinsonian Brain Networks
* Using Graphics Hardware for Enhancing Edge and Circle Detection
* Using graphs for statistical object models
* Using grey-level and distance information for medial surface representation of volume images
* Using Grey-Level Models to Improve Active Shape Model Search
* Using Grid Based Feature Localization for Fast Image Matching
* Using Group Prior to Identify People in Consumer Images
* Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding
* Using Hand Gesture and Speech in a Multimodal Augmented Reality Environment
* Using Handwriting Action to Construct Models of Engineering Objects
* Using Harris Corners for the Retrieval of Graphs in Historical Manuscripts
* Using Head Movement to Recognize Activity
* Using Hidden Markov Model for Chinese Business Card Recognition
* Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition
* Using hidden Markov models and wavelets for face recognition
* Using Hidden Markov Models as a Tool for Handwritten Text Line Segmentation
* Using Hidden Markov Models for Recognizing Action Primitives in Complex Actions
* Using Hidden Nodes in Bayesian Networks
* Using Hidden Scale for Salient Object Detection
* Using Hierarchical Models for 3D Human Body-Part Tracking
* Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data
* Using High-Level Semantic Features in Video Retrieval
* Using High-Level Visual Information for Color Constancy
* Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture
* Using Highlights to Constrain Object Size and Location
* Using Hopfield networks in the nominal color coding of classified images
* Using Hopfield networks to segment color images
* Using horizontal and vertical building structure to constrain indirect sensor orientation
* Using Human and Model Performance to Compare MRI Reconstructions
* Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database
* Using Human Visual System modeling for bio-inspired low level image processing
* Using Hypergraph Knowledge Representation for Natural Terrain Robot Navigation and Path Planning
* Using Hyperquadrics for Shape Recovery from Range Data
* Using hyperspectral reflectance data for discrimination between healthy and diseased plants, and determination of damage-level in diseased plants
* Using Hyperspectral Spectrometry and Functional Models to Characterize Vine-Leaf Composition
* Using Ideal Images to Establish a Baseline of OCR Performance
* Using IFs and Moments to Build a Quasi Invariant Image Index
* Using Illumination Estimated from Silhouettes to Carve Surface Details on Visual Hull
* Using Illumination Invariant Color Histogram Descriptors for Recognition
* Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems
* Using Image Flow to Detect Eye Blinks in Color Videos
* Using Image Processing Methods to Improve the Explosive Detection Accuracy
* Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization
* Using Image Segments in PicSOM CBIR System
* Using image signatures for place recognition
* Using Image Subtraction and Classification to Evaluate Change in Subtropical Intertidal Wetlands
* Using Importance Sampling for Bayesian Feature Space Filtering
* Using in Vivo Bioluminescence Imaging to Shed Light on Cancer Biology
* Using in Volume Computing of Digital Close Range Photogrammetry
* Using Inactivity to Detect Unusual behavior
* Using Independent Subspace Analysis for Selecting Filters Used in Texture Processing
* Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds
* Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait
* Using InSAR Coherence to Map Stand Age in a Boreal Forest
* Using Inter-feature-Line Consistencies for Sequence-Based Object Recognition
* Using Intermediate Objects to Improve the Efficiency of Visual-Search
* Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
* Using inverse image frequency for perception-based color image quantization
* Using Irreducible Group Representations for Invariant 3D Shape Description
* Using irregular pyramid for text segmentation and binarization of gray scale images
* Using Isolated Landmarks and Trajectories in Robot Navigation
* Using Isometry to Classify Correct/Incorrect 3D-2D Correspondences
* Using ITS to Improve the Capacity of Freeway Merging Sections by Transferring Freight Vehicles
* Using k-d trees for robust 3D point pattern matching
* Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade
* Using k-Poselets for Detecting People and Localizing Their Keypoints
* Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
* Using Kernels on Hierarchical Graphs in Automatic Classification of Designs
* Using Kinect for face recognition under varying poses, expressions, illumination and disguise
* Using known motion fields for image separation in transparency
* Using land-vehicle steering constraint to improve the heading estimation of MEMS GPS/INS georeferencing systems
* Using Landmarks as a Deformation Prior for Hybrid Image Registration
* Using Landmarks to Establish a Point-to-Point Correspondence between Signatures
* Using Language to Drive the Perceptual Grouping of Local Image Features
* Using Language to Learn Structured Appearance Models for Image Annotation
* Using Laser Altimetry-based Segmentation to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota
* Using Lateral Coupled Snakes for Modeling the Contours of Worms
* Using Lattice Topology Information to Investigate Persistent Scatterers at Facades in Urban Areas
* Using Learned Conditional Distributions as Edit Distance
* Using Lexical Similarity in Handwritten Word Recognition
* Using Light Polarization in Laser-Scanning
* Using Line and Ellipse Features for Rectification of Broadcast Hockey Video
* Using Line Correspondence Stereo to Measure Surface Orientation
* Using Line Correspondences in Invariant Signatures for Curve Recognition
* Using Line Segments as Structuring Elements for Sampling-Invariant Measurements
* Using Linear Symmetry Features as a Pre-processing Step for Fingerprint Images
* Using Linguistic Context for Image Interpretation and Annotation
* Using Linguistic Models for Image Retrieval
* Using Linking Features in Learning Non-parametric Part Models
* Using Local 3D Structure for Segmentation of Bone from Computer Tomography Images
* Using Local Affine Invariants to Improve Image Matching
* Using local and global object's information to track vehicles in urban scenes
* Using Local Context To Improve Face Detection
* Using local density information to improve IB algorithms
* Using local deviations of vectorization to enhance the performance of raster-to-vector conversion systems
* Using Local Features in a Neural Network Based Gray-level Reduction Technique
* Using local features to measure land development in urban regions
* Using Local Integral Invariants for Object Recognition in Complex Scenes
* Using Local Planar Geometric Invariants to Match and Model Images of Line Segments
* Using local regression kernels for statistical object detection
* Using Local Symmetry for Landmark Selection
* Using local texture maps of brain MR images to detect Mild Cognitive Impairment
* Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding
* Using location and motion statistics for the localization of moving objects in multiple camera surveillance videos
* Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
* Using Machine Learning for Content-Based Image Retrieving
* Using Machine Vision and Hand-Motion Control to Improve Crane Operator Performance
* Using macroscopic information in image segmentation
* Using many cameras as one
* Using Marching Cubes on Small Machines
* Using Markov Random Fields for Contour-Based Grouping
* Using matching distance in size theory: A survey
* Using Mathematical Morphology for Similarity Search of 3D Objects
* Using MATLAB and C in an image processing lab course
* Using Maximum Entropy for Automatic Image Annotation
* Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers
* Using MCSST Method for Measuring Sea Surface Temperature with MODIS Imagery and Modeling and Prediction of Regional Variations with Least Squares Method (Case Study: Persian Gulf, Iran)
* Using Mean Field Annealing to Solve Anisotropic Diffusion Problems
* Using Membrane Computing for Obtaining Homology Groups of Binary 2D Digital Images
* Using middle level features for robust shape tracking
* Using mirror cameras for estimating depth
* Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
* Using mobile laser scanning data for automated extraction of road markings
* Using Mobile Systems to Transmit Location Based Information
* Using Modality Replacement to Facilitate Communication between Visually and Hearing-Impaired People
* Using Model-based Localization with Active Navigation
* Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences
* Using modeling and fuzzy logic to detect and track microvessels in conjunctiva images
* Using Models of Feature Perception in Distortion Measure Guidance
* Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects
* Using Models to Improve Stereo Reconstruction
* Using Models to Recognise Man-Made Objects
* Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments
* Using Modis Normalized Difference Vegetation Index to monitor seasonal and inter-annual dynamics of wetland vegetation in the Great Artesian Basin: a baseline for assessment of future changes in a unique ecosystem
* Using moment invariants and HMM in facial expression recognition
* Using moment invariants to analyze 3-D color textures
* Using Moment Invariants to Recognize and Locate Partially Occluded 2D Objects
* Using Moments on Spatiotemporal Plane for Facial Expression Recognition
* Using Moments To Acquire The Motion Parameters of a Deformable Object without Correspondences
* Using Moments to Reduce Object Recognition to a One-Dimensional Search
* Using Morphological Differential Attribute Profiles for Change Categorization in High Resolution SAR Images
* Using Motion-Compensated Frame-Rate Conversion for the Correction of 3:2 Pulldown Artifacts in Video Sequences
* Using Motion Compensation, Block and Region Coding
* Using Motion from Orthographic Projections to Prune 3-D Point Matches
* Using Motion from Orthographic Views to Verify 3-D Point Matches
* Using Mouse Feedback in Computer Assisted Transcription of Handwritten Text Images
* Using MPEG-21 for cross-layer multimedia content adaptation
* Using MPEG-7 at the Consumer Terminal in Broadcasting
* Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
* Using MPEG standards for multimedia customization
* Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest
* Using multi-instance enrollment to improve performance of 3D face recognition
* Using multi-layer distance maps for motion planning on surfaces with moving obstacles
* Using Multi-matching System Based on a Simplified Deformable Model of the Human Iris for Iris Recognition
* Using multi-modal 3D contours and their relations for vision and robotics
* Using Multi Resolution Census and Ranklet Transformation in Long Base Line SAR Image Matching
* Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree
* Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation
* Using multiple coaxial images for determining the focal gradient in a range camera
* Using multiple cues for hand tracking and model refinement
* Using Multiple Examples for Content-Based Image Retrieval
* Using Multiple Frame Integration for the Text Recognition of Video
* Using Multiple Global Motion Models for Improved Block-Based Video Coding
* Using multiple graphics cards as a general purpose parallel computer: applications to computer vision
* Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
* Using Multiple Information Sources in a Computational Vision System
* Using Multiple Masks to Improve End-to-End Face Recognition Performance
* Using Multiple Patches for 3D Object Recognition
* Using multiple segmentations for image auto-annotation
* Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
* Using multiple sensors for reliable markerless identification through supervised learning
* Using Multiple Views To Resolve Human Body Tracking Ambiguities
* Using multiresolution and multistreaming for faster access in image database broadcast
* Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification
* Using multiscale top points in image matching
* Using Multisensory Images to Derive the Structure of Three-Dimensional Objects: A Review
* Using mutual information to indicate facial poses in video sequences
* Using NASA'S Long Term Data Record version 3 for the monitoring of land surface vegetation
* Using natural class hierarchies in multi-class visual classification
* Using natural image properties as demosaicing hints
* Using Negative Shape Features for Logo Similarity Matching
* Using Neural Networks To Detect Dominant Points In Chain-Coded Contours
* Using neural networks to learn shape decomposition by successive prototypication
* Using noise inconsistencies for blind image forensics
* Using non-linear diffusion and motion information for video segmentation
* Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
* Using Non Local Features for 3D Shape Grouping
* Using normal flow for detection and tracking of limbs in color images
* Using normal patterns in handwritten character recognition
* Using Normalized Compression Distance for image similarity measurement: an experimental study
* Using Normalized Interest Point Trajectories Over Scale for Image Search
* Using Object Interactions to Improve Particle Filter Performance
* Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study
* Using occluding contours for 3D object modeling
* Using Occluding Contours for Object Recognition
* Using Occluding Contours for Recovering Shape Properties of Objects
* Using occlusion models to evaluate scale-space processors
* Using Occlusions to Aid Position Estimation for Visual Motion Capture
* Using Occupancy Grids for Mobile Robot Perception and Navigation
* Using OCR and equalization to downsample documents
* using of thermal images of palm-dorsa vein-patterns for biometric verification, The
* Using omnidirectional structure from motion for registration of range images of minimal overlap
* Using One-Class Classification Techniques in the Anti-phoneme Problem
* Using Ontologies to Reduce the Semantic Gap between Historians and Image Processing Algorithms
* Using optical defocus to denoise
* Using Optical Flow as Evidence for Probabilistic Tracking
* Using optical imagery to enhance radar tracking performance
* Using Optimal Algorithms to Test Model Assumptions in Computer Vision
* Using orientation codes for rotation-invariant template matching
* Using orientation tokens for object recognition
* Using Otoacoustic Emissions as a Biometric
* Using Overlapping Distributions to Deal with Face Pose Mismatch
* Using pano-mapping tables for unwarping of omni-images into panoramic and perspective-view images
* Using Parallel Graph Transformations in Design Support System
* Using Parallel String Matching Algorithm for Contour Based 2-D Shape Recognition
* Using Partial Derivatives of 3D Images to Extract Typical Surface-Features
* Using Partial Edge Contour Matches for Efficient Object Category Localization
* Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a
* Using Partial Shape Knowledge for Stereo Reconstruction
* Using Particle Filter to Track and Model Microtubule Dynamics
* Using Particles to Track Varying Numbers of Interacting People
* Using Patch Metrics as Validation for Contextual Classification of Heathland Vegetation
* Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems
* Using Pavement Markings to Support the QA/QC of LIDAR Data
* Using PCA to Model Shape for Process Control
* Using pedestrians walking on uneven terrains for camera calibration
* Using Perceptual Color Contrast for Color Image Processing
* Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects
* Using Perceptual Inference Networks To Manage Vision Processes
* Using Perceptual Organization to Extract 3-D Structures
* Using perceptual relation of regularity and anisotropy in the texture with independent component model for defect detection
* Using Permutation Tests to Study How the Dimensionality, the Number of Classes, and the Number of Samples Affect Classification Analysis
* Using Perspective Transformations in Scene Analysis
* Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors
* Using Phase and Directional Line Features for Efficient Palmprint Authentication
* Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
* Using phase information for symmetry detection
* Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model
* Using Photometric Invariants for 3D Object Recognition
* Using Physical and Logical Constraints for Invoice Understanding
* Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches
* Using Physics-based Invariant Representations for the Recognition of Regions in Multispectral Satellite Images
* Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys
* Using Planar Parallax to Estimate the Time-to-Contact
* Using plane + parallax for calibrating dense camera arrays
* Using point correspondences without projective deformation for multi-view stereo reconstruction
* Using Points at Infinity for Parameter Decoupling in Camera Calibration
* Using polarimetric imaging for material classification
* Using Polarization to Separate Reflection Components
* Using Polyballs to Approximate Shapes and Skeletons
* Using Polygons to Recognize and Locate Partially Occluded Objects
* Using Polynomial Kernel Support Vector Machines for Speaker Verification
* Using position extrema points to capture shape in on-line handwritten signature verification
* Using pre and post-processing methods to improve binding site predictions
* Using principal curvatures and Darboux frame to recover 3D geometric primitives from range images
* Using prior shape and intensity profile in medical image segmentation
* Using Prior Shapes in Geometric Active Contours in a Variational Framework
* Using Priors for Improving Generalization in Non-Rigid Structure-from-Motion
* Using Probabilistic Domain Knowledge to Reduce the Expected Computational Cost of Matching
* Using Probabilistic Domain Knowledge to Reduce the Expected Computational Cost of Template Matching
* Using probabilities in analyzing two dimensional spatial patterns
* Using Probability Distribution Functions for Satellite Validation
* Using Probability Maps for Multi-organ Automatic Segmentation
* Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation
* Using Projective Geometry to Recover Planar Surfaces in Stereovision
* Using Projective Invariant Properties for Efficient 3D Reconstruction
* Using Projective Invariants for Constant Time Library Indexing in Model Based Vision
* Using Prolog to implement a compiler for a parallel image processing language
* Using proximity and spatial homogeneity in neighbourhood-based classifiers
* Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM
* Using Pyramids to Define Local Thresholds for Blob Detection
* Using Pyramids to Detect Good Continuation
* Using Quadtrees to Represent Polygonal Maps
* Using Quadtrees to Smooth Images
* Using quasi-invariants for automatic model building and object recognition: An overview
* Using Quaternions for Parametrizing 3-D Rotations in Unconstrained Nonlinear Optimization
* Using R-Trees for Interactive Visualization of Large Multidimensional Datasets
* Using Radar Imagery for Crop Discrimination: A Statistical and Conditional Probability Study
* Using RADIUS Site Models without the RCDE
* Using Random Forests for Handwritten Digit Recognition
* Using random subspace to combine multiple features for face recognition
* Using range data in automatic modeling of buildings
* Using Range Profiles for Data Association in Multiple-Target Tracking
* Using Ray-Traced Templates to Find Individual Trees in Aerial Photographs
* Using Readers' Highlighting on Monochromatic Documents for Automatic Text Transcription and Summarization
* Using Real Shadows to Create Virtual Ones
* Using reflectance models for color scanner calibration
* Using Region-Based Saliency for 3D Interest Points Detection
* Using region semantics and visual context for scene classification
* Using Relative Orientation Constraints To Produce Virtual Images From Oblique Frames
* Using relaxation technique for region-based object recognition
* Using relevance feedback to learn visual concepts from image instances
* Using Remote Vision: The Effects of Video Image Frame Rate on Visual Object Recognition Performance
* Using Renyi's Information and Wavelets for Target Detection: An Application to Mammograms
* Using replicator dynamics for analyzing fMRI data of the human brain
* Using resolution pyramids for watershed image segmentation
* Using retina modelling to characterize blinking: comparison between EOG and video analysis
* Using retinex for point selection in 3D shape registration
* Using Retinex Image Enhancement to Improve the Artery/Vein Classification in Retinal Images
* Using Richer Models for Articulated Pose Estimation of Footballers
* Using Rigid Constraints to Analyse Motion Parameters from Two Sets of 3D Corresponding Point Pattern
* Using Ripley's K-function to improve graph-based clustering techniques
* Using Road Pavement Markings as Ground Control for LIDAR Data
* Using robust dispersion estimation in support vector machines
* Using Robust Estimation Algorithms for Tracking Explicit Curves
* Using Robust Methods for Automatic Extraction of Buildings
* Using Rough Relational Models for Geometric Reasoning
* Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification
* Using RTT Variability for Adaptive Cross-Layer Approach to Multimedia Delivery in Heterogeneous Networks
* Using RZL Coding to Enhance Histogram-Pair Based Image Reversible Data Hiding
* Using Satellite Data to Represent Tropical Instability Waves (TIWs)-Induced Wind for Ocean Modeling: A Negative Feedback onto TIW Activity in the Pacific
* Using Satellite Images for Wireless Network Planing in Baku City
* Using SAX representation for human action recognition
* Using Scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents
* Using scale space filtering to make thinning algorithms robust against noise in sketch images
* Using Scene Constraints during the Calibration Procedure
* Using Scene Context to Model Segmentations
* Using scene features to improve wide-area video surveillance
* Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS)
* Using Score Normalization to Solve the Score Variation Problem in Face Authentication
* Using segmentation in CT metal artifact reduction
* Using Segmentation to Verify Object Hypotheses
* Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking
* Using selective correlation coefficient for robust image registration
* Using self-organising maps in the detection and recognition of road signs
* Using Self-Organizing Recognition as a Mechanism for Rejecting Segmentation Errors
* Using semivariogram indices to analyse heterogeneity in spatial patterns in remotely sensed images
* Using sensor pattern noise for camera model identification
* Using Sequential Context for Image Analysis
* Using set partitioning in hierarchical trees to authenticate digital images
* Using Shadows in Finding Surface Orientations
* Using Shadows in the Interpretation of Aerial Images
* Using Shape and Intensity to Track Non-Rigid Objects
* Using Shape and Layout Information to Find Signatures, Text, and Graphics
* Using Shear Invariant for Image Denoising in the Contourlet Domain
* Using shorelines for autonomous air vehicle guidance
* Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction
* Using SIFT features in palmprint authentication
* Using Signal/Residual Information of Eigenfaces for PCA Face Space Dimensionality Characteristics
* Using Signing Space as a Representation for Sign Language Processing
* Using silhouette for pose estimation of object with surface of revolution
* Using similarity measures and homogeneity for the comparison of images
* Using similarity scores from a small gallery to estimate recognition performance for larger galleries
* Using Simple Decomposition for Smoothing and Feature Point Detection Of Noisy Digital Curves
* Using simplicial partitions to determine a closest point to a query line
* Using simulated Terrestrial Laser Scanning to analyse errors in high-resolution scan data of irregular surfaces
* Using Singular Displacements for Uncalibrated Monocular Visual Systems
* Using Skeletonization and Shortest Skeleton Path Approach for Chinese Character Representation
* Using skew Gabor filter in source signal separation and local spectral multi-orientation analysis
* Using skew Gabor filter in source signal separation and local spectral orientation analysis
* Using Small-Footprint Discrete and Full-Waveform Airborne LiDAR Metrics to Estimate Total Biomass and Biomass Components in Subtropical Forests
* Using Smart-Phones and Floor Plans for Indoor Location Tracking
* Using Smart Cameras to Localize Self-Assembling Modular Robots
* Using snakes for the registration of topographic road database objects to ALS features
* Using Snakes with Asymmetric Energy Terms for the Detection of Varying-Contrast Edges in SAR Images
* Using social effects to guide tracking in complex scenes
* Using Socially Assistive Human-Robot Interaction to Motivate Physical Exercise for Older Adults
* Using Software Agent Negotiation for Service Selection
* Using solar shadow trajectories for camera calibration
* Using Song to Identify Cassin's Vireo Individuals. A Comparative Study of Pattern Recognition Algorithms
* Using Sorted Switching Median Filter to remove high-density impulse noises
* Using SP-Frames for Error Resilience in Optimized Video Streaming
* Using Space-Time Coding for Watermarking Color Images
* Using Space Continuity and Orientation Constraints for Range Data-Acquisition
* Using Spanning Graphs for Efficient Image Registration
* Using sparse regression to learn effective projections for face recognition
* Using Spatial Data Mining Techniques to Reveal Vulnerability of People and Places Due to Oil Transportation and Accidents: A Case Study of Istanbul Strait
* Using spatial data support for reducing uncertainty in geospatial applications
* Using Spatial Information as an Aid to Maximum-Entropy Image Threshold Selection
* Using spatial pyramids with compacted VLAT for image categorization
* Using Spatial Relations for Graphical Symbol Description
* Using Spatial Sorting and Ranking in Model-Based Object Recognition
* Using Spatially Distributed Patterns for Multiple View Camera Calibration
* Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion
* Using Spatiotemporal Correlations to Learn Invariant Object Recognition
* Using Specific Displacements to Analyze Motion without Calibration
* Using Spectral Features for Modelbase Partitioning
* Using Spectral/Spatial Information for Automatic Recognition
* Using specular highlights as pose invariant features for 2D-3D pose estimation
* Using specularities for recognition
* Using specularities in comparing 3D models and 2D images
* Using Specularities to Recover Multiple Light Sources in the Presence of Texture
* Using Speech for Handwritten Mathematical Expression Recognition Disambiguation
* Using Speech Input for Image Interpretation and Annotation
* Using Sphere Images for Calibrating Fisheye Cameras under the Unified Imaging Model of the Central Catadioptric and Fisheye Cameras
* Using spherical moments for visual servoing from a special target with unique projection center cameras
* Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
* Using Stability of Interpretation as Verification for Low Level Processing: An Example from Egomotion and Optic Flow
* Using Stacked Generalization to Combine SVMs in Magnitude and Shape Feature Spaces for Classification of Hyperspectral Data
* Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
* Using Stationary And Mobile Laser Scanner To Detect Forest Defoliation
* Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection
* Using Steerable Filters for Illumination-Invariant Recognition in Multispectral Images
* Using Stereo Matching for 2-D Face Recognition Across Pose
* Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose
* Using Stereo Vision Analysis to Recognize Partially Obscured Objects
* Using Stereo Vision To Support The Automated Analysis Of Surveillance Videos
* Using Stereomotion to Track Binocular Targets
* Using Stochastic Petri Nets for Level-Crossing Collision Risk Assessment
* Using stochastic syntactic analysis for extracting a logical structure from a document image
* Using String Languages to Describe Picture Languages
* Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance
* Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and Offline Japanese Character Classifiers
* Using Stroke or Character-Based Self-Organizing Maps in the Recognition of On-Line, Connected Cursive Script
* Using Strong Shape Priors for Stereo
* Using Structure for Video Object Retrieval
* Using Structure in Content-based Image Retrieval
* Using Structured Illumination to Enhance Video-Based Eye Tracking
* Using structured light for efficient depth edge detection
* Using Subspace Multiple Linear Regression for 3D Face Shape Prediction from a Single Image
* Using Super-Resolution Methods to Solve a Novel Multi-Sinusoidal Signal Model
* Using Supervised Learning and Comparing General and ANTI-HIV Drug Databases Using Chemoinformatics
* Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching
* Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication
* Using support vector regression and segmentation to estimate forest height, biomass and volume from LiDAR transects and Quickbird imagery
* Using Surface Model to Correct and Fit Disparity Data in Stereo Vision
* Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments
* Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model
* Using Surfaces and Object Models to Recognize Partially Obscured Objects
* Using SVM for Efficient Detection of Human Motion
* Using Symbolic Computation to Find Algebraic Invariants
* Using Symbolic Differences to Organize Relational Models
* Using Symmetries for Analysis of Shape from Contour
* Using Symmetry for Detecting and Locating Objects in a Picture
* Using symmetry in robust model fitting
* Using Symmetry to Select Fixation Points for Segmentation
* Using Symmetry, Ellipses, and Perceptual Groups for Detecting Generic Surfaces of Revolution in 2D Images
* Using Synthetic Data for Planning, Development and Evaluation of Shape-from-silhouette Based Human Motion Capture Methods
* Using Synthetic Images to Register Real Surfaces with Surface Models
* Using Tactic-Based Learning (formerly Mentoring) to Accelerate Recovery of an Adaptive Learning System in a Changing Environment
* Using targeted statistics for face regeneration
* Using Tasseled Cap Transformation of CBERS-02 Images to Detect Dieback or Dead Robinia Pseudoacacia Plantation
* Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series
* Using Temporal Coherence for Gait Pose Estimation From a Monocular Camera View
* Using temporal coherence to build models of animals
* Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences
* Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living
* Using Terrestrial Laser Scanners to Calculate and Map Vertical Bridge Clearance
* Using Terrestrial Laser Scanning and Lidar Data for Photo-Realistic Visualisation of Climate Impacts at Heritage Sites
* Using texture-based symbolic features for medical image representation
* Using Texture Analysis for Medical Diagnosis
* Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses
* Using Texture for Image Retrieval
* Using texture to complement color in image matting
* Using texture to tackle the problem of scale in land-cover classification
* Using the Active Appearance Algorithm for Face and Facial Feature Tracking
* Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods
* Using the alpha-beta-Neighborhood for Adaptive Document Filtering
* Using The Beta-binomial Distribution To Assess Performance Of A Biometric Identification Device
* Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D
* Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
* Using the Creation Machine to Locate Airplanes on Aerial Photos
* Using the CSM Correspondence Calculation Algorithm to Quantify Differences between Surfaces
* Using the Directional Derivative Trace Transform for Seismic Wavefield Separation
* Using the Draft H.26l Video Coding Standard for Mobile Applications
* Using the expectation-maximization algorithm for depth estimation and segmentation of multi-view images
* Using the FFT to Determine Digital Straight Line Chain Codes
* Using the Fisher-Rao Metric to Compute Facial Similarity
* Using the Fourier Slice Theorem for Representation of Object Views and Models with Application to Face Recognition
* Using the fractal code to watermark images
* Using the Gaussian Image to Find the Orientation of Objects
* Using the Hexagonal Grid for Three-Dimensional Images: Direct Fourier Method Reconstruction and Weighted Distance Transform
* Using the Hierarchical Pathfinding A* Algorithm in GIS to Find Paths through Rasters with Nonuniform Traversal Cost
* Using the Higher Order Singular Value Decomposition for Video Denoising
* Using the HVS binocular properties for the construction of a comprehensive stereoscopic matching model
* Using the Inner-Distance for Classification of Articulated Shapes
* Using the Interferometric Capabilities of the ESA CryoSat-2 Mission to Improve the Accuracy of Sea Ice Freeboard Retrievals
* Using the KL-Center for Efficient and Accurate Retrieval of Distributions Arising from Texture Images
* Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction
* Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration
* Using the Low-Resolution Properties of Correlated Images to Improve the Computational Efficiency of Eigenspace Decomposition
* Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis
* Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach
* Using the Orientation of Fragmentary 3D Edge Segments for Polyhedral Object Recognition
* Using the original and symmetrical face training samples to perform representation based two-step face recognition
* Using the Orthographic Projection Model to Approximate the Perspective Projection Model for 3D Facial Reconstruction
* Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
* Using the Pn Potts model with learning methods to segment live cell images
* Using the Pupillary Reflex as a Diabetes Occurrence Screening Aid Tool through Neural Networks
* Using the Shadow as a Single Feature for Real-Time Monocular Vehicle Pose Determination
* Using the Shape Characteristics of Rain to Identify and Remove Rain from Video
* Using the Shape Gradient for Active Contour Segmentation: From the Continuous to the Discrete Formulation
* Using the Skeleton for 3D Object Decomposition
* Using the Spatio-Temporal Volume for Motion Segmentation
* Using the vector distance functions to evolve manifolds of arbitrary codimension
* Using the vectorcardiogram to remove ECG noise
* Using the Video Lookup Table for Reflectivity Calculations: Specific Techniques and Graphic Results
* Using the Watershed Transform for Iris Detection
* Using the Web to Create Dynamic Dictionaries in Handwritten Out-of-Vocabulary Word Recognition
* Using the whole body for multi-channel gestural interface
* Using Thermal Time and Pixel Purity for Enhancing Biophysical Variable Time Series: An Interproduct Comparison
* Using Three Reassigned Spectrogram Patches and Log-Gabor Filter for Audio Surveillance Application
* Using top-down and bottom-up analysis for a multi-scale skeleton hierarchy
* Using top n Recognition Candidates to Categorize On-line Handwritten Documents
* Using Topic Concepts for Semantic Video Shots Classification
* Using Topic Keyword Clusters for Automatic Document Clustering
* Using topic models for OCR correction
* Using Topological Information of Images to Improve Stereo Matching
* Using Transmural Regularization and Dynamic Modeling for Noninvasive Cardiac Potential Imaging of Endocardial Pacing With Imprecise Thoracic Geometry
* Using tree-grammars for training set expansion in page classification
* Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data
* Using tri-training to exploit spectral and spatial information for hyperspectral data classification
* Using Tsallis Entropy into a Bayesian Network for CBIR
* Using Tucker Decomposition to Compress Color Images
* Using two-class classifiers for multiclass classification
* Using two-dimensional models to interact with the three-dimensional world
* Using Typical Testors for Feature Selection in Text Categorization
* Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS
* Using underapproximations for sparse nonnegative matrix factorization
* Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments
* Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests
* Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications
* Using Urban Landscape Trajectories to Develop a Multi-Temporal Land Cover Database to Support Ecological Modeling
* Using Validation by Inference to Select a Hypothesis Function
* Using Vanishing Points for Camera Calibration
* Using Vanishing Points To Correct Camera Rotation In Images
* Using vanishing points to estimate parameters of fisheye camera
* Using Various Types of Multimedia Resources to Train System for Automatic Transcription of Czech Historical Oral Archives
* Using Vector Quantization to Build Nonlinear Factorial Models of the Low-dimensional Independent Manifolds in Optical Imaging Data
* Using Vertical Panoramic Images to Record a Historic Cemetery
* Using video technology for reducing TV energy
* Using View Interpolation for Low Bit-rate Video
* Using Virtual Active Vision Tools to Improve Autonomous Driving Tasks
* Using virtual reality and percolation theory to visualize fluid flow in porous media
* Using visibility cameras to estimate atmospheric light extinction
* Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor
* Using vision based tracking to support real-time graphical instruction for students who have visual impairments
* Using Vision Metrology System for Quality Control In Automotive Industries
* Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas
* Using Visual Context and Region Semantics for High-Level Concept Detection
* Using Visual Dictionary to Associate Semantic Objects in Region-Based Image Retrieval
* Using Visual Features for Anti-Spam Filtering
* Using Visualizations to Support Design and Debugging in Virtual Reality
* Using Voxel Similarity as a Measure of Medical Image Registration
* Using Wavelet Extraction for Haptic Texture Classification
* Using Wavelet Support Vector Machine for Classification of Hyperspectral Images
* Using Wavelet Transform and Partial Distance Search to Implement k NN Classifier on FPGA with Multiple Modules
* Using Wavelets for Compression and Multiresolution Search with Active Appearance Models
* Using Wavelets for Detection, Recognition, Fusion
* Using web grammar to recognize dimensions in engineering drawings
* Using web search engines to improve text recognition
* Using Webcam to Enhance Fingerprint Recognition
* Using Webcast Text for Semantic Event Detection in Broadcast Sports Video
* Using weighted dynamic range for histogram equalization to improve the image contrast
* Using weighted spatial relationships in retrieval by visual contents
* Using Wiimote for 2D and 3D Pointing Tasks: Gesture Performance Evaluation
* Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments
* Using Word Graphs as Intermediate Representation of Uttered Sentences
* Using Zernike Moments for the Illumination and Geometry Invariant Classification of Multispectral Texture
* Using, constraint inequality on estimated correlation for rapid image search
* USPS Office of Advanced Technology Database of Handwritten Cities, States, ZIP Codes, Digits, and Alphabetic Characters
* USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
* Utilisation des modeles markoviens en reconnaissance de l'ecriture arabe: Etat de l'art
* Utilisation of edge adaptive upsampling in compression of depth map videos for enhanced free-viewpoint rendering
* Utilisation of historical plans of the castle of Heidelberg for change detection and new construction activities
* Utilising objective perceptual image quality metrics for implicit link adaptation
* Utility-based dynamic camera assignment and hand-off in a video network
* Utility data annotation with Amazon Mechanical Turk
* Utility model for on-demand digital content
* utility of MPEG-7 systems in audio-visual applications with multiple streams, The
* Utility of Remotely Sensed Imagery for Assessing the Impact of Salvage Logging after Forest Fires
* Utility of Satellite and Aerial Images for Quantification of Canopy Cover and Infilling Rates of the Invasive Woody Species Honey Mesquite (Prosopis Glandulosa) on Rangeland
* Utility of Spaceborne Radar to Render Flood Inundation Maps Based on Multialgorithm Ensembles, The
* Utility of Viking Orbiter Images and Products for Mars Mapping
* Utilization of 3D City Models and Airborne Laser Scanning for Terrain-based Navigation of Helicopters and UAVs
* Utilization of a rational-based representation to improve the image quality of a hardware-based K-SOM quantizer
* Utilization of a Stripe Pattern for Dynamic Scene Analysis
* utilization of a Taylor series-based transformation in fingerprint verification, The
* Utilization of False Color Images in Shadow Detection
* Utilization of Fuel Consumption Data in an Ecodriving Incentive System for Heavy-Duty Vehicle Drivers
* Utilization of Hierarchical, Stochastic Relationship Modeling for Hangul Character Recognition
* Utilization of Information Measure as a Means of Image Thresholding
* Utilization of LIDAR DEM for SAR Image Analysis in Dense Urban Areas
* Utilization of matching score vector similarity measures in biometric systems
* Utilization of Multi-spectral Images in Photodynamic Diagnosis
* Utilization of Multispectral Imagery for Cartographic Feature Extraction
* Utilization of Noise-Only Samples in Array Processing With Prior Knowledge
* Utilization of spatial information for point cloud segmentation
* Utilization of Spectral-Spatial Information in the Classification of Imagery Data
* Utilization of spectral measurements and phenological observations to detect grassland-habitats with a RapidEye intra-annual time-series
* Utilization of Stereo Disparity and Optical Flow Information for Human Interaction
* Utilization of stereo disparity and optical flow information for the computer analysis of human interactions
* Utilization of texture, contrast and color homogeneity for detecting and recognizing text from video frames
* Utilization of the MV Spectrum for Diagnosis and Estimation of Harmonic Fields
* Utilization of the Recursive Shortest Spanning Tree Algorithm for Video Object Segmentation by 2-D Affine Motion Modeling
* Utilization Potential of High Resolution Stereo Data for Extracting DEM and Terrain Parameters
* Utilizing a Multi-Source Forest Inventory Technique, MODIS Data and Landsat TM Images in the Production of Forest Cover and Volume Maps for the Terai Physiographic Zone in Nepal
* Utilizing affective analysis for efficient movie browsing
* Utilizing Airborne Laser Intensity for Tree Species Classification
* Utilizing co-occurrence patterns for semantic concept detection in images
* Utilizing Consistency Context for Handwritten Mathematical Expression Recognition
* Utilizing Different Link Types to Enhance Document Clustering Based on Markov Random Field Model With Relaxation Labeling
* Utilizing Edge to Extract Roads in High-Resolution Satellite Imagery
* Utilizing Geographic Information System Data for Unmanned Aerial Vehicle Position Estimation
* Utilizing GIS to Examine the Relationship Between State Renewable Portfolio Standards and the Adoption of Renewable Energy Technologies
* Utilizing HDTV Displays to its Full Potential and its Impact on Video Compression
* Utilizing Hierarchical Multiprocessing for Medical Image Registration
* Utilizing Information Theoretic Diversity for SVM Active Learn
* Utilizing Invariant Descriptors for Finger Spelling American Sign Language Using SVM
* Utilizing Learned Motion Patterns to Robustly Track Persons
* Utilizing Least Significant Bit-Planes of RONI Pixels for Medical Image Watermarking
* Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management
* Utilizing Moment Invariants and Grobner Bases to Reason About Shapes
* Utilizing Multitemporal Data by a Stochastic Model
* Utilizing non-uniform cost learning for active control of inter-class confusion
* Utilizing Optical Aberrations for Extended-Depth-of-Field Panoramas
* Utilizing Related Samples to Enhance Interactive Concept-Based Video Search
* Utilizing related samples to learn complex queries in interactive concept-based video search
* Utilizing Scatter for Pixel Subspace Selection
* Utilizing Segmented MRI Data in Image-Guided Surgery
* Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation
* Utilizing semantic word similarity measures for video retrieval
* Utilizing Symmetry in the Reconstruction of Three-Dimensional Shape from Noisy Images
* Utilizing the Hungarian Algorithm for Improved Classification of High-Dimension Probability Density Functions in an Image Recognition Problem
* Utilizing Variational Optimization to Learn Markov Random Fields
* Utilizing venation features for efficient leaf image retrieval
* Utilizing Voronoi Cells of Location Data Streams for Accurate Computation of Aggregate Functions in Sensor Networks
* UTIRIS: University of Tehran IRIS Image Repository
* UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems
* Utopia Compression
* Utrecht University
* Utterance Verification Algorithm in Keyword Spotting System, An
* UvA color document dataset, The
* UW-ISL Document Image Analysis Toolbox: An Experimental Environment
* UWB Through-Wall Imaging Based on Compressive Sensing
* UWB Tomographic Radar Imaging of Penetrable and Impenetrable Objects
* Uygur Words Localization in Single Frame Image of Complex Background
* Uzawa Block Relaxation Methods for Color Image Restoration

Index for "v"


Last update:15-Oct-14 18:05:23
Use price@usc.edu for comments.