ICCGI04
* *International Conference on Computer Graphics and Imaging
* Detecting and Removing Shadows
ICCV01
* *International Conference on Computer Vision
* 3D Hand Pose Reconstruction Using Specialized Mappings
* 3D LAMP: A New Layered Panoramic Representation
* 3D Object Recognition Using Shape Similarity-Based Aspect Graph
* 3D Object Tracking Using Shape-Encoded Particle Propagation
* 3D-Mode: A 3D Modelling and Measurement System Using a Few Photos
* 4-Sensor Camera Calibration for Image Representation Invariant to Shading, Shadows, Lighting, and Specularities
* Accurate Catadioptric Calibration for Real-time Pose Estimation of Room-size Environments
* Accurate Optical Flow in Noisy Image Sequences
* Affine 3-D Reconstruction from Two Projective Images of Independently Translating Planes
* Affine Calibration from Moving Objects
* Affine Invariant Erosion of 3D Shapes
* Alignment of Non-Overlapping Sequences
* Ambiguous Configurations for the 1D Structure and Motion Problem
* AMILab, a 2D/3D Image Processing Software
* Articulated Soft Objects for Video-based Body Modeling
* Automated 3D PDM Construction Using Deformable Models
* Automatic Registration of 2-D with 3-D Imagery in Urban Environments
* Automatic Segmentation and Indexing in a Database of Bird Images
* Background Model Initialization Algorithm for Video Surveillance, A
* Beyond Lambert: Reconstructing Surfaces with Arbitrary BRDFs
* Biologically Motivated, Precise and Simple Calibration and Reconstruction Using a Stereo Light Microscope
* Blind Removal of Image Non-Linearities
* BraMBLe: A Bayesian Multiple-Blob Tracker
* BRDF/BTF Measurement Device
* Calibration with Robust Use of Cheirality by Quasi-Affine Reconstruction of the Set of Camera Projection Centres
* Camera Calibration and 3D Reconstruction from Single Images Using Parallelepipeds
* Capturing Natural Hand Articulation
* Car Detection in Low Resolution Aerial Images
* Caustics of Catadioptric Cameras
* Characterization of Inherent Stereo Ambiguities, A
* Cheirality in Epipolar Geometry
* Classifying and Solving Minimal Structure and Motion Problems with Missing Data
* Cloning Your Own Face with a Desktop Camera
* Co-inference Approach to Robust Visual Tracking, A
* Color Constancy Using KL-Divergence
* Color Eigenflows: Statistical Modeling of Joint Color Changes
* Colour Photometric Stereo: Simultaneous Reconstruction of Local Gradient and Colour of Rough Textured Surfaces
* Combining Single View Recognition and Multiple View Stereo for Architectural Scenes
* Computationally Efficient Face Detection
* Computing Visual Correspondence with Occlusions via Graph Cuts
* Concentric Mosaic(s), Planar Motion and 1D Cameras
* Confidence and Curvature Estimation of Curvilinear Structures in 3-D
* Constrained Active Appearance Models
* Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
* Control of Home Appliances Using Face and Hand Sign Recognition
* Curve Evolution Approach for Image Segmentation Using Adaptive Flows, A
* Data-Driven Model for Monocular Face Tracking, A
* Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, A
* Demonstration of Handprinted Symbol Recognition, A
* Demonstration of Segmentation with Interactive Graph Cuts
* Depth from Defocus in Presence of Partial Self Occlusion
* Deriving Intrinsic Images from Image Sequences
* Determining Reflectance Parameters and Illumination Distribution from a Sparse Set of Images for View-dependent Image Synthesis
* Dimensional Analysis of Image Motion
* Do Ambiguous Reconstructions Always Give Ambiguous Images?
* Do We Really Have to Consider Covariance Matrices for Image Features?
* Document Restoration Using 3D Shape: A General Deskewing Algorithm for Arbitrarily Warped Documents
* Dynamic Textures
* Earth Mover's Distance is the Mallows Distance: Some Insights from Statistics, The
* Efficient Dense Depth Estimation from Dense Multiperspective Panoramas
* Efficient Sequential Karhunen-Loeve Basis Extraction
* EM Algorithm for Video Summarization, Generative Model Approach, An
* Empirical Filter Estimation for Subpixel Interpolation and Matching
* Error Analysis of Pure Rotation-Based Self-Calibration
* Estimation and Interpretation of Discontinuities in Optical Flow Fields
* Euclidean Reconstruction and Auto-Calibration from Continuous Motion
* Example-Based Facial Sketch Generation with Non-parametric Sampling
* Face Recognition with Support Vector Machines: Global versus Component-based Approach
* FaceTracker: A Human Face Tracking and Facial Organ Localizing System
* Fast Algorithm for Nearest Neighbor Search Based on a Lower Bound Tree
* Feature Based Object Recognition using Statistical Occlusion Models with One-to-one Correspondence
* Feature Selection from Huge Feature Sets
* Finding Anomalies in an Arbitrary Image
* Flux Maximizing Geometric Flows
* Folds and Cuts: How Shading Flows Into Edges
* Framework for Segmentation of Talk and Game Shows, A
* Gabor Feature Classifier for Face Recognition, A
* General Imaging Model and a Method for Finding its Parameters, A
* Generalized Mosaicing
* Geometrical Fundamentals of Polycentric Panoramas
* Global Matching Framework for Stereo Computation, A
* Gradient Vector Flow Fast Geodesic Active Contours
* Guiding Random Particles by Deterministic Search
* Harmonics Extraction Based on Higher Order Statistics Spectrum Decomposition for A Unified Texture Model
* Hierarchical Pre-Segmentation without Prior Knowledge
* High Dynamic Range Panoramic Imaging
* Human Tracking in Multiple Cameras
* Human Tracking with Mixtures of Trees
* Illumination Insensitive Eigenspaces
* Image Detection Under Varying Illumination and Pose
* Image Segmentation by Data-Driven Markov Chain Monte Carlo
* Image Segmentation with Minimum Mean Cut
* Impact of Viewing Geometry on Vision Through the Atmosphere, The
* Improving AR using Shadows Arising from Natural Illumination Distribution in Video Sequences
* Incorporating Differential Constraints in a 3D Reconstruction Process. Application to Stereo
* Incorporating Process Knowledge into Object Recognition for Assemblies
* Indexing Based on Scale Invariant Interest Points
* Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images
* Invariant Mixture Recognition in Hyperspectral Images
* JetStream: Probabilistic Contour Extraction with Particles
* Joint Feature Distributions for Image Correspondence
* Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
* KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints, The
* Lambertian Reflectance and Linear Subspaces
* Learning Image Statistics for Bayesian Tracking
* Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy
* Learning Local Evidence for Shading and Reflectance
* Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances
* Learning Spectral Calibration Parameters for Color Inspection
* Learning the Semantics of Words and Pictures
* Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces, A
* Linear Multi View Reconstruction and Camera Recovery
* Markov Face Models
* Matching Shapes
* Maximum Likelihood Framework for Iterative Eigendecomposition, A
* Model-Based Bundle Adjustment with Application to Face Modeling
* Model-Based Initialisation of Vehicle Tracking: Dependency on Illumination
* Modelling Faces Dynamically across Views and Over Time
* Motion Estimation from Disparity Images
* Motion Segmentation by Subspace Separation and Model Selection
* Multi-Agent Event Recognition
* Multi-Frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects
* Multi-View Scene Capture by Surfel Sampling: From Video Streams to Non-Rigid 3D Motion, Shape and Reflectance
* Multiple Motion Scene Reconstruction from Uncalibrated Views
* Multiple View Geometry of Non-planar Algebraic Curves
* New Imaging Model, A
* New Perspectives on Geometric Reflection Theory From Rough Surfaces
* Noise in Bilinear Problems
* Novel Modeling Algorithm for Shape Recovery of Unknown Topology, A
* Occlusion Robust Adaptive Template Tracking
* Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters
* On Cosine-Fourth and Vignetting Effects in Real Lenses
* On Projection Matrices P^k, -> P^2, k=,3,..., 6, and their Applications in Computer Vision
* On the Complexity of Probabilistic Image Retrieval
* Optimal Method for the Affine F-Matrix and Its Uncertainty Estimation in the Sense of both Noise and Outliers
* Optimal Motion Estimation from Multiview Normalized Epipolar Constraint
* Pairwise Face Recognition
* Parallel-Perspective Stereo Mosaics
* People Tracking Using Hybrid Monte Carlo Filtering
* Performance Evaluation of Stereo for Tele-presence
* Photometric Image-Based Rendering for Image Generation in Arbitrary Illumination
* Physics-based Model Acquisition and Identification in Airborne Spectral Images
* Plan-View Trajectory Estimation with Dense Stereo Background Models
* Plane-based Projective Reconstruction
* Precise Sub-Pixel Estimation on Area-Based Matching
* Probabilistic Framework for Segmenting People Under Occlusion
* Probabilistic Framework for Space Carving, A
* Probabilistic Learning and Modelling of Object Dynamics for Tracking
* Probabilistic Tracking in a Metric Space
* Projective Structure and Motion from Two Views of a Piecewise Planar Scene
* Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion
* Pseudo-Distance Map for the Segmentation-Free Skeletonization of Gray-Scale Images, A
* Real-time Automated Concurrent Visual Tracking of Many Animals and Subsequent Behavioral Compilation
* Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination
* Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
* Real-Time Video Phase-Locked Loops
* Real-time Virtual Object Insertion
* Recognition of Shapes by Editing Shock Graphs
* Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera
* Reconstructing Surfaces Using Anisotropic Basis Functions
* Reducing Drift in Parametric Motion Tracking
* Region Extraction from Multiple Images
* Region Segmentation via Deformable Model-Guided Split and Merge
* Robust Histogram Construction from Color Invariants
* Robust Interest Points Matching Algorithm, A
* Robust Principal Component Analysis for Computer vision
* Robust Real-Time Face Detection
* Segmentation and range sensing using a moving-aperture lens
* Segmentation of the Left Ventricle in Cardiac MR Images
* Segmentation with Pairwise Attraction and Repulsion
* Selecting Objects With Freehand Sketches
* Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations
* Self-Calibration of a Stereo Rig Using Monocular Epipolar Geometry
* Self-Supervised Learning for Object Recognition based on Kernel Discriminant-EM Algorithm
* Separating Appearance from Deformation
* Separation of Multiple Objects in Motion Images by Clustering
* Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking
* Shadow Carving
* Shape Deformation: SVM Regression and Application to Medical Image Segmentation
* Shape from Texture and Integrability
* Simple and Efficient Template Matching Algorithm, A
* Simultaneous Estimation of Super-Resolved Intensity and Depth Maps from Low Resolution Defocused Observations of a Scene
* Smarter Presentations: Exploiting Homography in Camera-Projector Systems
* Space of All Stereo Images, The
* Sparse PCA: Extracting Multi-scale Structure from Data
* Split Aperture Imaging for High Dynamic Range
* Statistical Approach to Background Subtraction for Surveillance Systems, A
* Statistical Calibration of the CCD Imaging Process
* Statistical Context Priming for Object Detection
* Stereo Matching by Compact Windows via Minimum Ratio Cycle
* Stereoscopic Segmentation
* Stochastic Processes in Vision: From Langevin to Beltrami
* Stochastic Rigidity: Image Registration for Nowhere-Static Scenes
* Stochastic Road Shape Estimation
* Stripe Boundary Codes for Real-Time Structured-Light Range Scanning of Moving Objects
* Structure and Motion from Silhouettes
* Structure from Motion Using Sequential Monte Carlo Methods
* Surface Matching by 3D Point's Fingerprint
* Tele-Graffiti: A Pen and Paper-Based Remote Sketching System
* Template Matching Approach to Content Based Image Indexing by Low Dimensional Euclidean Embedding
* Topology Free Hidden Markov Models: Application to Background Modeling
* Towards Real-Time Multi-Modality 3-D Medical Image Registration
* True Single View Point Cone Mirror Omni-Directional Catadioptric System
* Trust-Region Methods for Real-Time Tracking
* Unambigous Determination of Shape from Photometric Stereo with Unknown Light Sources
* Uncalibrated Motion Capture Exploiting Articulated Structure Constraints
* Using Scene Constraints during the Calibration Procedure
* Variable Bandwidth Mean Shift and Data-Driven Scale Selection, The
* Variational Model for Filling-in Gray Level and Color Images, A
* Versatile Method for Trifocal Tensor Estimation, A
* Very High Accuracy Velocity Estimation using Orientation Tensors, Parametric Motion, and Simultaneous Segmentation of the Motion Field
* Video Georegistration: Algorithm and Quantitative Evaluation
* Video Objects Segmentation Using Eulerian Region-Based Active Contours
* Video Phase-Locked Loops in Gait Recognition
* View-Based Clustering of Object Appearances Based on Independent Subspace Analysis
* Viewpoint Invariant Texture Matching and Wide Baseline Stereo
* Visual Learning by Integrating Descriptive and Generative Methods
* Visual Servoing Invariant to Changes in Camera Intrinsic Parameters
* What Value Covariance Information in Estimating Vision Parameters?
220 for ICCV01
ICCV03
* *International Conference on Computer Vision
* 3D Tracking = Classification + Interpolation
* Active concept learning for image retrieval in dynamic databases
* Adaptive Dynamic Range Imaging: Optical Control of Pixel Exposures over Space and Time
* affine invariant deformable shape representation for general curves, An
* Affine-invariant local descriptors and neighborhood statistics for texture recognition
* Appearance sampling for obtaining a set of basis images for variable illumination
* Applying the information bottleneck principle to unsupervised clustering of discrete and continuous image representations
* Assessing accuracy factors in deformable 2d/3d medical image registration using a statistical pelvis model
* Autocalibration of a projector-screen-camera system: theory and algorithm for screen-to-camera homography estimation
* automatic drowning detection surveillance system for challenging outdoor pool environments, An
* Automatic video summarization by graph modeling
* Automatically labeling video data using multi-class active learning
* background layer model for object tracking through occlusion, A
* Background modeling and subtraction of dynamic scenes
* bayesian approach to unsupervised one-shot learning of object categories, A
* Bayesian clustering of optical flow fields
* bayesian network framework for relational shape matching, A
* Beltrami flow over implicit manifolds, The
* Binocular Helmholtz Stereopsis
* Boosting chain learning for object detection
* Calibrating pan-tilt cameras in wide-area surveillance networks
* Calibration of a hybrid camera network
* Camera calibration using spheres: a semi-definite programming approach
* Camera Calibration with Known Rotation
* Capturing subtle facial motions in 3d face tracking
* Caratheodory-Fejer Approach to Robust Multiframe Tracking, A
* Catadioptric Camera Calibration Using Geometric Invariants
* catchment feature model for multimodal language analysis, The
* Circular motion geometry by minimal 2 points in 4 images
* class of photometric invariants: separating material from shape and illumination, A
* Color edge detection by photometric quasi-invariants
* Combinatorial constraints on multiple projections of a set of points
* Combining gradient and albedo data for rotation invariant classification of 3d surface texture
* Comparison of Graph Cuts with Belief Propagation for Stereo, Using Identical MRF Parameters
* Computing geodesics and minimal surfaces via graph cuts
* Computing MAP Trajectories by Representing, Propagating and Combining PDFs Over Groups
* Conditional feature sensitivity: a unifying view on active recognition and feature selection
* Constraining human body tracking
* Context-Based Vision System for Place and Object Recognition
* Controlling model complexity in flow estimation
* Counting people in crowds with a real-time network of simple image sensors
* Cumulative residual entropy, a new measure of information and its application to image alignment
* cylindrical surface model to rectify the bound document image, A
* Dealing with textureless regions and specular highlights: A progressive space carving scheme using a novel photo-consistency measure
* Dense matching of multiple wide-baseline views
* Dense shape reconstruction of a moving object under arbitrary, unknown lighting
* Detecting Pedestrians Using Patterns of Motion and Appearance
* Determining reflectance and light position from a single image without distant illumination assumption
* Discriminative random fields: a discriminative framework for contextual interaction in classification
* Dominant sets and hierarchical clustering
* Dynamic stroke information analysis for video-based handwritten chinese character recognition
* Dynamic texture segmentation
* efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures, An
* Efficient, robust and accurate fitting of a 3d morphable model
* Entropy-of-likelihood feature selection for image correspondence
* Epitomic analysis of appearance and shape
* Eye design in the plenoptic space of light rays
* Eye gaze estimation from a single image of one eye
* Face sketch synthesis and recognition
* Facial expression decomposition
* Facial expression understanding in image sequences using dynamic and active visual information fusion
* Fast intensity-based 2d-3d image registration of clinical data using light fields
* Fast Pose Estimation with Parameter-Sensitive Hashing
* Fast stereo matching using reliability-based dynamic programming and consistency constraints
* Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking
* Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach
* Filtering using a tree-based estimator
* Fragmentation in the vision of scenes
* Fusion of Static and Dynamic Body Biometrics for Gait Recognition
* Gamut Constrained Illuminant Estimation
* Gaze manipulation for one-to-one teleconferencing
* Geometric segmentation of perspective images based on symmetry groups
* Globally convergent autocalibration
* Good continuations in digital image level lines
* Graph partition by Swendsen-Wang cuts
* High resolution terrain mapping using low altitude aerial stereo imagery
* Highlight removal by illumination-constrained inpainting
* How to deal with point correspondences and tangential velocities in the level set framework
* Image Parsing: Unifying Segmentation, Detection, and Recognition
* Image registration with global and local luminance alignment
* Image spaces and video trajectories: Using isomap to explore video sequences
* Image statistics and anisotropic diffusion
* Image-Based Rendering Using Image-Based Priors
* Images as bags of pixels
* Improved fast gauss transform and efficient kernel density estimation
* Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo
* Inferring 3D Structure with a Statistical Image-Based Shape Model
* Information theoretic focal length selection for real-time active 3-d object tracking
* Integrated Edge and Junction Detection with the Boundary Tensor
* Joint region tracking with switching hypothesized measurements
* Landmark-based shape deformation with topology-preserving constraints
* Large-scale event detection using semi-hidden markov models
* Learning a classification model for segmentation
* Learning a locality preserving subspace for visual recognition
* Learning and Inferring Image Segmentations Using the GBP Typical Cut Algorithm
* Learning how to inpaint from global image statistics
* Learning pedestrian models for silhouette refinement
* Linear multi-view reconstruction of points, lines, planes and cameras using a reference plane
* Local Projective Shape of Smooth Surfaces and Their Outlines, The
* Machine learning and multiscale methods in the identification of bivalve larvae
* Maintaining multi-modality through mixture tracking
* Markov-based failure prediction for human motion analysis
* Mean shift based clustering in high dimensions: A Texture Classification Example
* Meshfree particle method
* Minimally-supervised classification using multiple observation sets
* Minimum risk distance measure for object recognition
* Mirrors in motion: epipolar geometry and motion estimation
* model-based approach for automated feature extraction in fundus images, A
* Model-based multiple view reconstruction of people
* Modeling Textured Motion: Particle, Wave and Sketch
* multi-scale generative model for animate shapes and parts, A
* Multiclass spectral clustering
* Multiple-cue illumination estimation in textured scenes
* Multiple-view structure and motion from line correspondences
* Multiview reconstruction of space curves
* Natural Image Statistics for Natural Image Segmentation
* new paradigm for recognizing 3-d object shapes from range data, A
* new perspective [on] shape-from-shading, A
* Noniterative Greedy Algorithm for Multiframe Point Correspondence, A
* Nonmetric lens distortion calibration: closed-form solutions, robust estimation and model selection
* novel approach for texture shape recovery, A
* Object recognition with informative features and linear classification
* Obstacle detection using projective invariant and vanishing lines
* On exploiting occlusions in multiple-view geometry
* On the epipolar geometry of the crossed-slits projection
* On the use of marginal statistics of subband images
* Online Selection of Discriminative Tracking Features
* Outlier correction in image sequences for the affine camera
* Paracatadioptric camera calibration using lines
* Perspective shape from shading and viscosity solutions
* Phenomenological eigenfunctions for image irradiance
* Photo-consistent 3d fire by flame-sheet decomposition
* Plane-based calibration algorithm for multi-camera systems via factorization of homography matrices
* Polarization-based inverse rendering from a single view
* Polarization-based transparent surface modeling from two views
* Preemptive RANSAC for live structure and motion estimation
* Probabilistic bilinear models for appearance-based vision
* Ranking prior likelihood distributions for Bayesian shape localization framework
* Real-Time Pattern Matching Using Projection Kernels
* Real-time simultaneous localisation and mapping with a single camera
* Recognishing panoramas
* Recognition of group activities using dynamic probabilistic networks
* Recognition with local features: the kernel recipe
* Recognizing action at a distance
* Recognizing human action efforts: An adaptive three-mode PCA framework
* Recovery of epipolar geometry as a manifold fitting problem
* Reflectance-based classification of color edges
* Regression Based Bandwidth Selection for Segmentation Using Parzen Windows
* Reinforcement learning for combining relevance feedback techniques
* Reliable recovery of piled box-like objects via parabolically deformable superquadrics
* Robust regression with projection based m-estimators
* Scene modeling based on constraint system decomposition techniques
* segmentation algorithm for contrast-enhanced images, A
* Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
* Selection of scale-invariant parts for object class recognition
* Separating Reflection Components of Textured Surfaces Using a Single Image
* Shape and motion under varying illumination: unifying structure from motion, photometric stereo, and multi-view stereo
* Shape gradients for histogram segmentation using active contours
* Shape representation via harmonic embedding
* Space-time interest points
* sparse probabilistic learning algorithm for real-time tracking, A
* Spectral partitioning for structure from motion
* Statistical background subtraction for a mobile observer
* Stochastic refinement of the visual hull to satisfy photometric and silhouette consistency constraints
* Surface classification using conformal structures
* Surface reconstruction by integrating 3d and 2d data of multiple views
* Surface reconstruction from feature based stereo
* Surface reflectance modeling of real objects with interreflections
* SVM-based nonparametric discriminant analysis, an application to face detection
* Tales of shape and radiance in multi-view stereo
* Texture segmentation by multiscale aggregation of filter responses and shape elements
* theory of multiplexed illumination, A
* Towards a mathematical theory of primal sketch and sketchability
* Towards direct recovery of shape and motion parameters from image sequences
* Towards Gauge Invariant Bundle Adjustment: A Solution Based on Gauge Dependent Damping
* Tracking across multiple cameras with disjoint views
* Tracking articulated body by dynamic markov network
* Tracking articulated hand motion with eigen dynamics analysis
* Tracking Objects Using Density Matching and Shape Priors
* Two-frame wide baseline matching
* Unified subspace analysis for face recognition
* Unsupervised image translation
* Unsupervised improvement of visual detectors using co-training
* Unsupervised non-parametric region segmentation using level sets
* Using prior shape and intensity profile in medical image segmentation
* Using specularities for recognition
* Using temporal coherence to build models of animals
* Variable bandwidth QMDPE and its application in robust optical flow estimation
* Variational frameworks for DT-MRI estimation, regularization and visualization
* Variational space-time motion segmentation
* Variational stereovision and 3d scene flow estimation with statistical similarity measures
* Video google: A text retrieval approach to object matching in videos
* Video input driven animation (VIDA)
* View-invariant alignment and matching of video sequences
* Visual correspondence using energy minimization and mutual information
* Voxel carving for specular surfaces
* Weighted and robust incremental method for subspace learning
* What does motion reveal about transparency?
199 for ICCV03
ICCV05
* *International Conference on Computer Vision
* 3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines
* 3D Shape Recognition and Reconstruction Based on Line Element Geometry
* 8-Point Algorithm Revisited: Factorized 8-Point Algorithm
* Actions as Space-Time Shapes
* Active Search for Real-Time Vision
* Adaptive Enhancement of Cardiac Magnetic Resonance (CMR) Images
* Algebraic Approach to Surface Reconstruction from Gradient Fields, An
* Appearance Modeling Under Geometric Context
* Automatic 3D Face Modeling from Video
* Avoiding the Streetlight Effect: Tracking by Exploring Likelihood Modes
* Axis-Based Representation for Recognition, An
* Background Estimation as a Labeling Problem
* Basic Gray Level Aura Matrices: Theory and its Application to Texture Synthesis
* Bayesian Approach for Shadow Extraction from a Single Image, A
* Bayesian Autocalibration for Surveillance
* Bayesian Body Localization Using Mixture of Nonlinear Shape Models
* Bayesian Structural Content Abstraction for Region-Level Image Authentication
* Behaviour Understanding in Video: A Combined Method
* Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
* Bi-Directional Tracking Using Trajectory Segment Analysis
* Bilinear Illumination Model for Robust Face Recognition, A
* Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
* BRDF Invariant Stereo Using Light Transport Constancy
* Building a Classification Cascade for Visual Identification from One Example
* Can Two Specular Pixels Calibrate Photometric Stereo?
* Class-Specific Material Categorisation
* Closely Coupled Object Detection and Segmentation
* Combining Generative Models and Fisher Kernels for Object Recognition
* Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views
* Common Pattern Discovery Using Earth Mover's Distance and Local Flow Maximization
* Conditional Random Fields for Contextual Human Motion Recognition
* Conformal Metrics and True Gradient Flows for Curves
* Consistent Segmentation for Optical Flow Estimation
* Consistent Surface Color for Texturing Large Objects in Outdoor Scenes
* Contour-Based Learning for Object Detection
* Convex Grouping Combining Boundary and Region Information
* Coupled Space Learning for Image Style Transformation
* Creating Efficient Codebooks for Visual Recognition
* Deformation Invariant Image Matching
* Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects
* Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
* Detecting Irregularities in Images and in Video
* Detecting Rotational Symmetries
* Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax
* Detection of Concentric Circles for Camera Calibration
* Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors
* Detection, Analysis and Matching of Hair
* Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination
* Discovering Objects and their Localization in Images
* Dynamic Measurement Clustering to Aid Real Time Tracking
* Dynamic Refraction Stereo
* Edge-Based Rich Representation for Vehicle Classification
* Efficient Block Noise Removal Based on Nonlinear Manifolds
* Efficient Learning of Relational Object Class Models
* Efficient Model-Based 3D Tracking of Deformable Objects
* Efficient Visual Event Detection Using Volumetric Features
* Efficiently Registering Video into Panoramic Mosaics
* Efficiently Solving Dynamic Markov Random Fields Using Graph Cuts
* Eliminating Structure and Intensity Misalignment in Image Stitching
* Enhanced Correlation-Based Method for Stereo Correspondence with Sub-Pixel Accuracy, An
* Ensemble Prior of Image Structure for Cross-Modal Inference, An
* Ensuring Color Consistency across Multiple Cameras
* Evaluation of Features Detectors and Descriptors Based on 3D Objects
* Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization, An
* Exploring the Space of a Human Action
* Face Recognition by Stepwise Nonparametric Margin Maximum Criterion
* Face Recognition in the Presence of Multiple Illumination Sources
* Face Recognition with MRC-Boosting
* Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
* Fast Multiple Object Tracking via a Hierarchical Particle Filter
* Fast Recognition of Multi-View Faces with Feature Selection
* Fast Texture-Based Tracking and Delineation Using Texture Entropy
* Feature Hierarchies for Object Classification
* Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
* Finding Tree Structures by Grouping Symmetries
* Fitting Globally Stabilized Algebraic Surfaces to Range Data
* Fixed Point Probability Field for Complex Occlusion Handling
* Fundamental Matrix for Cameras with Radial Distortion
* Fusing Points and Lines for High Performance Tracking
* Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid
* General Framework for Temporal Video Scene Segmentation, A
* Generative/Discriminative Learning Algorithm for Image Classification, A
* Geometric and Photometric Restoration of Distorted Documents
* Geometric Context from a Single Image
* Geometric Invariants and Applications under Catadioptric Camera Model
* Globally Optimal Estimates for Geometric Reconstruction Problems
* Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation
* Good Continuation of General 2D Visual Features: Dual Harmonic Models and Computational Inference
* Graph Cut Algorithm for Generalized Image Deconvolution, A
* Guiding Model Search Using Segmentation
* Hierarchical Field Framework for Unified Context-Based Classification, A
* High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps
* Hilbert Functions and Applications to the Estimation of Subspace Arrangements
* How Hard is 3-View Triangulation Really?
* Identifying Individuals in Video by Combining Generative and Discriminative Head Models
* Image Based Regression Using Boosting Method
* Image Statistics Based on Diffeomorphic Matching
* Improved Sub-pixel Stereo Correspondences through Symmetric Refinement
* Incorporating Visual Knowledge Representation in Stereo Reconstruction
* Incremental Discovery of Object Parts in Video Sequences
* Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence
* Integrated Framework for Image Segmentation and Perceptual Grouping, An
* Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation
* Integrating Representative and Discriminative Models for Object Category Detection
* Integrating the Effects of Motion, Illumination and Structure in Video Sequences
* Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
* Is ICA Significantly Better than PCA for Face Recognition?
* Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment?
* Iterative Optimization Approach for Unified Image Segmentation and Matting, An
* Joint Haar-like Features for Face Detection
* KALMANSAC: Robust Filtering by Consensus
* Kernel-Based Multifactor Analysis for Image Synthesis and Recognition
* Large Deformation Diffeomorphic Metric Mapping of Fiber Orientations
* Layered Active Appearance Models
* Learning a Sparse, Corner-Based Representation for Time-varying Background Modeling
* Learning and Inference in Parametric Switching Linear Dynamical Systems
* Learning Effective Image Metrics from Few Pairwise Examples
* Learning Hierarchical Models of Scenes, Objects, and Parts
* Learning Layered Motion Segmentation of Video
* Learning Models for Predicting Recognition Performance
* Learning Non-Generative Grammatical Models for Document Analysis
* Learning Non-Negative Sparse Image Codes by Convex Programming
* Learning Object Categories from Google's Image Search
* Learning the Probability of Correspondences without Ground Truth
* Lighting Normalization with Generic Intrinsic Illumination Subspace for Face Recognition
* Linear Approaches to Camera Calibration from Sphere Images or Active Intrinsic Calibration Using Vanishing Points
* Local Features for Object Class Recognition
* Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition
* LOCUS: Learning Object Classes with Unsupervised Segmentation
* Manifold Clustering
* Maximum Entropy Framework for Part-Based Texture and Object Recognition, A
* Mesh Optimization Using an Inconsistency Detection Template
* Mixtures of Dynamic Textures
* Model-Based Vehicle Segmentation Method for Tracking, A
* Modeling Scenes with Local Descriptors and Latent Aspects
* Modelling Shapes with Uncertainties: Higher Order Polynomials, Variable Bandwidth Kernels and Non Parametric Density Estimation
* More-Than-Topology-Preserving Flows for Active Contours and Polygons
* Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
* Multi-Scale Gesture Recognition from Time-Varying Contours
* Multi-Scale Hybrid Linear Model for Lossy Image Representation, A
* Multi-View AAM Fitting and Camera Calibration
* Multi-View Geometry of 1D Radial Cameras and its Application to Omnidirectional Camera Calibration
* Multi-View Reconstruction Using Photo-consistency and Exact Silhouette Constraints: A Maximum-Flow Formulation
* Multi-View Surface Reconstruction Using Polarization
* Multilevel Banded Graph Cuts Method for Fast Image Segmentation, A
* Multiperspective Projection and Collineation
* Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions
* Multiple View Geometry and the L_inf-norm
* Mutual Information Regularized Bayesian Framework for Multiple Image Restoration
* Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
* N-Dimensional Probablility Density Function Transfer and its Application to Colour Transfer
* Neighborhood Preserving Embedding
* New Framework for Approximate Labeling via Graph Cuts, A
* Non-Negative Lighting and Specular Object Recognition
* Non-Orthogonal Binary Subspace and Its Applications in Computer Vision
* Non-Parametric Self-Calibration
* Object Categorization by Learned Universal Visual Dictionary
* Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning
* Object Recognition in High Clutter Images Using Line Features
* Object Tracking across Multiple Independently Moving Aerial Cameras
* Objective Image Fusion Performance Characterisation
* Okapi-Chamfer Matching for Articulated Object Recognition
* On Optimal Light Configurations in Photometric Stereo
* On Optimizing Template Matching via Performance Characterization
* On the Equivalence of Common Approaches to Lighting Insensitive Recognition
* On the Spatial Statistics of Optical Flow
* On-Line Density-Based Appearance Modeling for Object Tracking
* Opaque Document Imaging: Building Images of Inaccessible Texts
* Parameter-Free Radial Distortion Correction with Center of Distortion Estimation
* Passive Photometric Stereo from Motion
* Patch Based Blind Image Super Resolution
* Perceptual Scale-Space and Its Applications
* Periodic Motion Detection and Segmentation via Approximate Sequence Alignment
* Phase Field Models and Higher-Order Active Contours
* Photometric Stereo under Perspective Projection
* Practical Single Image Based Approach for Estimating Illumination Distribution from Shadows, A
* Prior-Based Segmentation by Projective Registration and Level Sets
* Priors for People Tracking from Small Training Sets
* Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
* Probabilistic Contour Extraction Using Hierarchical Shape Representation
* Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieval, A
* Progressive Surface Reconstruction from Images Using a Local Prior
* Pyramid Match Kernel: Discriminative Classification with Sets of Image Features, The
* Quasiconvex Optimization for Robust Geometric Reconstruction
* Randomized RANSAC with Sequential Probability Ratio Test
* Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
* Realtime IBR with Omnidirectional Crossed-Slits Projection
* Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras
* Reconstructing the Geometry of Flowing Water
* Recovering Facial Shape and Albedo Using a Statistical Model of Surface Normal Direction
* Recovering Human Body Configurations Using Pairwise Constraints between Parts
* Recovering Photometric Properties of Multiple Strongly-Reflective, Partially-Transparent Surfaces from a Single Image
* Registration of Multimodal Fluorescein Images Sequence of the Retina
* Regular Polygon Detection
* Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback
* Robust Algorithm for Point Set Registration Using Mixture of Gaussians, A
* Robust Path-Based Spectral Clustering with Application to Image Segmentation
* Robust Point Matching for Two-Dimensional Nonrigid Shapes
* Robust Structure from Motion and Identified Dynamics
* Scale-Invariant Contour Completion Using Conditional Random Fields
* Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
* Semi-Supervised Framework for Mapping Data to the Intrinsic Manifold, A
* Separating Reflections in Human Iris Images for Illumination Estimation
* Separating Transparent Layers of Repetitive Dynamic Behaviors
* Shadow Flow: A Recursive Method to Learn Moving Cast Shadows
* Shape and Appearance Repair for Incomplete Point Surfaces
* Shape and Spatially-Varying BRDFs from Photometric Stereo
* Shape Classifer Based on Generalized Probabilistic Descent Method with Hidden Markov Descriptor
* Shape from Symmetry
* Shape Parameter Optimization for AdaBoosted Active Shape Model
* Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences
* Shape-Based Segmentation Approach: An Improved Technique Using Level Sets, A
* Shapelets Correlated with Surface Normals Produce Surfaces
* Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter
* Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups
* Space-Time Scene Manifolds
* Sparse Image Coding Using a 3D Non-Negative Tensor Factorization
* Spectral Technique for Correspondence Problems Using Pairwise Constraints, A
* Spherical Matching for Temporal Correspondence of Non-Rigid Surfaces
* Squaring the Circles in Panoramas
* Stochastic Filter for Fluid Motion Tracking, A
* Structured Light in Scattering Media
* Supervised Learning Framework for Generic Object Detection in Images, A
* Surface Parameterization Using Riemann Surface Structure
* Symmetric Patch-Based Correspondence Model for Occlusion Handling, A
* TemporalBoost for Event Recognition
* Theoretical Limit on the Number of Effective Pixels that can be Optically Resolved on a Non-Planar Subject, A
* Theory of Inverse Light Transport, A
* Theory of Refractive and Specular 3D Shape by Light-Path Triangulation, A
* Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
* Uncalibrated Perspective Reconstruction of Deformable Structures
* Unifying Approach to Hard and Probabilistic Clustering, A
* Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
* Using Eye Reflections for Face Recognition Under Varying Illumination
* Using Frontier Points to Recover Shape, Reflectance and Illumunation
* Variational-Based Method to Extract Parametric Shapes from Images
* Vector Boosting for Rotation Invariant Multi-View Face Detection
* Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching
* Video Behaviour Profiling and Abnormality Detection without Manual Labelling
* Vignette and Exposure Calibation and Compensation
* Visual Learning Given Sparse Data of Unknown Complexity
* Visual Speech Recognition with Loosely Synchronized Feature Streams
* What Metrics Can Be Approximated by Geo-Cuts, Or Global Optimization of Length/Area and Flux
* When Does a Camera See Rain?
245 for ICCV05
ICCV07
* *International Conference on Computer Vision
* 3-D Metric Reconstruction and Registration of Images of Near-planar Surfaces
* 3D generic object categorization, localization and pose estimation
* 3D Model based Object Class Detection in An Arbitrary View
* 3D object recognition from range images using pyramid matching
* 3D Object Representation Using Transform and Scale Invariant 3D Features
* 3D Teacher for Car Detection in Aerial Images, A
* 3D-3D Registration Problem Revisited, The
* Accurate Non-Iterative O(n) Solution to the PnP Problem
* Action Recognition from Arbitrary Views using 3D Exemplars
* Active Learning with Gaussian Processes for Object Categorization
* Adaptive enhancement and noise reduction in very low light-level video
* Adaptive Vocabulary Forests for Dynamic Indexing and Category Learning
* Applications of parametric maxflow in computer vision
* Articulated Shape Matching by Robust Alignment of Embedded Representations
* Automatic Cardiac View Classification of Echocardiogram
* Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models, The
* Bilayer Stereo Matching
* Biologically Inspired System for Action Recognition, A
* Blurred/Non-Blurred Image Alignment using Sparseness Prior
* Boosting Invariance and Efficiency in Supervised Learning
* Bottom-up saliency is a discriminant process
* BRDF Acquisition with Basis Illumination
* Capacity Scaling for Graph Cuts in Vision
* Chaotic Invariants for Human Action Recognition
* Classification of Weakly-Labeled Data with Partial Equivalence Relations
* ClassMap: Efficient Multiclass Recognition via Embeddings
* Cluster Boosted Tree Classifier for Multi-View, Multi-Pose Object Detection
* Co-Tracking Using Semi-Supervised Support Vector Machines
* Component Based Deformable Model for Generalized Face Alignment, A
* Conditional State Space Models for Discriminative Motion Estimation
* Consistent Correspondence between Arbitrary Manifold Surfaces
* Contextual Distance for Data Perception
* Contour Grouping Based on Local Symmetry
* Convex Optimization for Deformable Surface 3-D Tracking
* Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
* Correspondence labelling for wide-timeframe free-form surface matching
* Correspondence Transfer for the Registration of Multimodal Images
* COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes
* Coupled Detection and Trajectory Estimation for Multi-Object Tracking
* Database and Evaluation Methodology for Optical Flow, A
* Deformable Image Mosaicing for Optical Biopsy
* Deformable Template As Active Basis
* Depth and Appearance for Mobile Scene Analysis
* Depth Information by Stage Classification
* Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
* Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames
* Detecting Illumination in Images
* Detection and Tracking of Multiple Humans with Extensive Pose Articulation
* Differential EMD Tracking
* Direct Estimation of Non-Rigid Registrations with Image-Based Self-Occlusion Reasoning
* Discrete Differential Operator for Direction-based Surface Morphometry, A
* Discriminant Embedding for Local Image Descriptors
* Discriminative Subsequence Mining for Action Classification
* Divide-and-Conquer Approach to 3D Object Reconstruction from Line Drawings, A
* Dynamic Cascades for Face Detection
* Dynamically consistent optical flow estimation
* DynamicBoost: Boosting Time Series Generated by Dynamical Systems
* Efficient Feature Extraction for Image Classification
* Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
* Efficient Message Representations for Belief Propagation
* Efficient Mining of Frequent and Distinctive Feature Configurations
* Efficient Multi-View Reconstruction of Large-Scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts
* Efficient Optimization for L-inf-problems using Pseudoconvexity
* Efficient Silhouette Extraction with Dynamic Viewpoint
* Embedded Profile Hidden Markov Models for Shape Analysis
* Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples, An
* Event Detection in Crowded Videos
* Exploiting Object Hierarchy: Combining Models from Different Category Levels
* Exploiting Occluding Contours for Real-Time 3D Tracking: A Unified Approach
* Extracting Spatiotemporal Interest Points using Global Information
* Extracting Texels in 2.1D Natural Textures
* Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera
* Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
* Fast Bilinear SfM with Side Information
* Fast Crowd Segmentation Using Shape Indexing
* Fast Matching of Planar Shapes in Sub-cubic Runtime
* Fast Method to Minimize L-inf Error Norm for Geometric Vision Problems, A
* Fast Pixel/Part Selection with Sparse Eigenvectors
* Fast training and selection of Haar features using statistics in boosting-based face detection
* Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
* Fitting a Morphable Model to 3D Scans of Faces
* Game-Theoretic Multiple Target Tracking
* General Discriminant Model for Color Face Recognition, A
* Generalized Median Graphs: Theory and Applications
* Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting, A
* Geolocating Static Cameras
* Geometric Integrability and Consistency of 3D Point Clouds
* Global Optimization through Searching Rotation Space and Optimal Estimation of the Essential Matrix
* Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
* Globally Optimal Algorithm for Robust TV-L1 Range Image Integration, A
* Globally Optimal Image Segmentation with an Elastic Shape Prior
* Gradient Feature Selection for Online Boosting
* Gradient Intensity-Based Registration of Multi-Modal Images of the Brain
* Graph Based Discriminative Learning for Robust and Efficient Object Tracking
* Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
* Half Quadratic Analysis for Mean Shift: With Extension to A Sequential Data Mode-Seeking Method
* Harvesting Image Databases from the Web
* Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
* Hierarchical Model-Based Human Motion Tracking Via Unscented Kalman Filter
* Hierarchical Part-Template Matching for Human Detection and Segmentation
* Hierarchical Semantics of Objects (hSOs)
* High Detection-rate Cascades for Real-Time Object Detection
* High Dynamic Range Camera using Reflective Liquid Crystal
* High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
* Homographic Framework for the Fusion of Multi-view Silhouettes, A
* How Good are Local Features for Classes of Geometric Objects
* Human Pose Estimation using Motion Exemplars
* Hybrid Graph Model for Unsupervised Object Segmentation, A
* Illumination and Affine- Invariant Point Matching using an Ordinal Approach
* Image Classification using Random Forests and Ferns
* Improving Descriptors for Fast Tree Matching by Optimal Linear Projection
* Improving Numerical Accuracy of Grobner Basis Polynomial Equation Solvers
* Incremental Learning of Boosted Face Detector
* Instability of Projective Reconstruction of Dynamic Scenes near Critical Configurations
* Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians
* Interactive Offline Tracking for Color Objects
* Interactive Search for Image Categories by Mental Matching
* Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs
* Invariant Large Margin Nearest Neighbour Classifier, An
* Joint Affinity Propagation for Multiple View Segmentation
* Joint Feature Tracking and Radiometric Calibration from Auto-Exposure Video
* Joint Manifold Model for Semi-supervised Multi-valued Regression, The
* L-inf to Structure and Motion Problems in 1D-Vision, An
* Laplacian PCA and Its Applications
* Latent Model Clustering and Applications to Visual Recognition
* Layer-Based Restoration Framework for Variable-Aperture Photography, A
* Learn to Track Edges
* Learning 3-D Scene Structure from a Single Still Image
* Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
* Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
* Learning Graph Matching
* Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter
* Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
* Learning priors for calibrating families of stereo cameras
* Learning Structured Appearance Models from Captioned Images of Cluttered Scenes
* Learning The Discriminative Power-Invariance Trade-Off
* Learning the Taxonomy and Models of Categories Present in Arbitrary Images
* Learning to Find Object Boundaries Using Motion Cues
* Leveraging archival video for building face datasets
* Limits of Learning-Based Superresolution Algorithms
* Locally Invariant Fractal Features for Statistical Texture Classification
* Locally Smooth Metric Learning with Application to Image Retrieval
* LogCut: Efficient Graph Cut Optimization for Markov Random Fields
* Matte-less, Variational Approach to Automatic Scene Compositing, A
* Metric Learning Using Iwasawa Decomposition
* Minimizing the Reprojection Error in Surface Reconstruction from Images
* Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets
* Mode-seeking by Medoidshifts
* Modeling View and Posture Manifolds for Tracking
* Monocular SLAM as a Graph of Coalesced Observations
* Moving Object Extraction with a Hand-held Camera
* MRF Optimization via Dual Decomposition: Message-Passing Revisited
* Multi-Camera Calibration with One-Dimensional Object under General Motions
* Multi-Image Restoration Method for Image Reconstruction from Projections, A
* Multi-View Stereo for Community Photo Collections
* Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh
* Multilinear Projection for Appearance-Based Recognition in the Tensor Framework
* Multiscale Edge Detection and Fiber Enhancement Using Differences of Oriented Means
* Multispectral Imaging Using Multiplexed Illumination
* N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation
* New Convolution Kernel for Atmospheric Point Spread Function Applied to Computer Vision, A
* No Grouping Left Behind: From Edges to Curve Fragments
* Noise Robust Spectral Clustering
* Non-homogeneous Content-driven Video-retargeting
* Non-Linear Beam Model for Tracking Large Deformations
* Non-metric affinity propagation for unsupervised image categorization
* Non-Parametric Probabilistic Image Segmentation
* Non-Rigid Image Registration using a Hierarchical Partition of Unity Finite Element Method
* Non-rigid Photometric Stereo with Colored Lights
* Nonlinear Discriminative Approach to AAM Fitting, A
* Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
* Novel Depth Cues from Uncalibrated Near-field Lighting
* Novel High Breakdown M-estimator for Visual Data Segmentation, A
* Objects in Context
* Omnidirectional Vision Sensor with Single View and Constant Resolution, An
* On Constrained Sparse Matrix Factorization
* On the Differential Geometry of 3D Flow Patterns: Generalized Helicoids and Diffusion MRI Analysis
* On the Extraction of Curve Skeletons using Gradient Vector Flow
* Optimization and Learning for Registration of Moving Dynamic Textures
* Optimizing Image Registration by Mutually Exclusive Scale Components
* Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction
* Pairwise Similarities across Images for Multiple View Rigid/Non-Rigid Segmentation and Registration
* Parsing Images of Architectural Scenes
* Penrose Pixels Super-Resolution in the Detector Layout Domain
* People-LDA: Anchoring Topics to People using Face Recognition
* Perspectively Invariant Normal Features
* Phase Based Modelling of Dynamic Textures
* Plane-based self-calibration of radial distortion
* pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm
* Population Shape Regression From Random Design Data
* PR: More than Meets the Eye
* Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
* Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
* Probabilistic Linear Discriminant Analysis for Inferences About Identity
* probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure, A
* Proximity Distribution Kernels for Geometric Context in Category Recognition
* Rank Minimization Approach to Video Inpainting, A
* Real-time Accurate Object Detection using Multiple Resolutions
* Real-time Body Tracking Using a Gaussian Process Latent Variable Model
* Real-Time Marker-free Motion Capture from multiple cameras
* Real-Time SLAM Relocalisation
* Real-Time Visibility-Based Fusion of Depth Maps
* Reconstructing High Quality Face-Surfaces using Model Based Stereo
* Reconstructing the Surface of Inhomogeneous Transparent Scenes by Scatter-Trace Photography
* Recovering Occlusion Boundaries from a Single Image
* Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo
* Removing Non-Uniform Motion Blur from Images
* Restoration Framework for Correcting Photometric and Geometric Distortions in Camera-based Document Images, A
* Retrieving actions in movies
* Ricci Flow for 3D Shape Analysis
* Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery
* Robust Graph-Based Method for The General Correspondence Problem Demonstrated on Image Stitching, A
* Robust Object Tracking with Regional Affine Invariant Features
* Robust Structured Light Coding for 3D Reconstruction
* Robust Visual Tracking Based on Incremental Tensor Subspace Learning
* Robust Visual Tracking Using the Time-Reversibility Constraint
* Rock, Paper, and Scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes
* Rotational Motion Deblurring of a Rigid Object from a Single Image
* Scalable Approach to Activity Recognition based on Object Use, A
* Scale-Dependent 3D Geometric Features
* Scale-Invariant Features on the Sphere
* Scene Modeling Using Co-Clustering
* Scene Representation Based on Multi-Modal 2D and 3D Features, A
* Scene Summarization for Online Image Collections
* Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm, A
* Segmentation using Meta-texture Saliency
* Semi-supervised Discriminant Analysis
* Separating Parts from 2D Shapes using Relatability
* Shape and Appearance Context Modeling
* Shape Descriptors for Maximally Stable Extremal Regions
* Shape from Focus and Defocus: Convexity, Quasiconvexity and Defocus-Invariant Textures
* Shape from Varying Illumination and Viewpoint
* Shape Priors using Manifold Learning Techniques
* Shape Reconstruction Based on Similarity in Radiance Changes under Varying Illumination
* Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape
* Signals on Pencils of Lines
* Simultaneous Learning of Nonlinear Manifold and Dynamical Models for High-dimensional Time Series
* Simultaneous Segmentation and 3D Reconstruction of Monocular Image Sequences
* Spatial Random Partition for Common Visual Pattern Discovery
* Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes
* Spatio-Temporal Shape from Silhouette using Four-Dimensional Delaunay Meshing
* Spectral Latent Variable Models for Perceptual Inference
* Spectral Regression for Efficient Regularized Subspace Learning
* Specular Highlight Detection Based on the Fresnel Reflection Coefficient
* Spherical-Homoscedastic Shapes
* Stable Affine Frames on Isophotes
* Steerable Random Fields
* Stereo Matching with the Distinctive Similarity Measure
* Stochastic Adaptive Tracking In A Camera Network
* Structure from Motion with Missing Data is NP-Hard
* Structure from Statistics: Unsupervised Activity Analysis using Suffix Trees
* Study of Face Recognition as People Age, A
* Supervised Learning of Image Restoration with Convolutional Networks
* Support Kernel Machines for Object Recognition
* Surface-from-Gradients with Incomplete Data for Single View Modeling
* Symmetry-Based Generative Model for Shape, A
* Synthetic Aperture Tracking: Tracking through Occlusions
* Task Specific Local Region Matching
* Temporal Segmentation of Facial Behavior
* Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation
* Ten-fold Improvement in Visual Odometry Using Landmark Matching
* Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
* Toward a Theory of Shape from Specular Flow
* Toward Reconstructing Surfaces With Arbitrary Isotropic Reflectance: A Stratified Photometric Stereo Approach
* Trajectory Rectification and Path Modeling for Video Surveillance
* Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
* Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation: The Opposing Metrics Method
* Unsupervised Image Categorization and Object Localization using Topic Models and Correspondences between Images
* Unsupervised Joint Alignment of Complex Images
* Unsupervised Learning of Object Deformation Models
* Untangling Cycles for Contour Grouping
* Using Color Compatibility for Assessing Image Realism
* Using High-Level Visual Information for Color Constancy
* USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images
* Variable Dimensional Local Shape Descriptors for Object Recognition in Range Data
* Variational Framework for Simultaneous Motion Estimation and Restoration of Motion-Blurred Video, A
* Variational Method for Scene Flow Estimation from Stereo Sequences, A
* Variational optimal control technique for the tracking of deformable objects
* Variational Particle Filter for Multi-Object Tracking
* Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions
* Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling
* Vector Quantizing Feature Space with a Regular Lattice
* Video-based Face Recognition on Real-World Data
* Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
* von Kries Hypothesis and a Basis for Color Constancy, The
* Webcam Synopsis: Peeking Around the World
* What Can Casual Walkers Tell Us About A 3D Scene?
* What, where and who? Classifying events by scene and object recognition
* When is a Discrete Diffusion a Scale-Space?
290 for ICCV07
ICCV09
* *International Conference on Computer Vision
ICCV87
* *International Conference on Computer Vision
* 3D Curve Based Matching Method Using Dynamic Programming
* 3D Symmetry-Curvature Duality Theorems
* Active Vision
* Against Quantitative Optical Flow
* Ambiguities of a Motion Field
* Analysis of a Road Image as Seen from a Vehicle
* Asp: A Continuous Viewer-Centered Representation for 3D Object Recognition, The
* Autonomous Land Vehicle Road Following
* Building, Registering, and Fusing Noisy Visual Maps
* Closed-Form Solutions to Image Flow Equations for 3D Structure and Motion
* Complexity Level Analysis of Immediate Vision, A
* Composite Edge Detection with Random Field Models
* Computationally-Efficient Methods for Recovering Translational Motion
* Computing the Euler Number of a 3D Image
* Contour Based Stereo Algorithm, A
* Control Free, Low-Level Image Segmentation: Theory, Architecture, and Experimentation
* Coordinate Rotation Invariance of Image Characteristics for 3D Shape and Motion Recovery
* Cylindrical Shape from Contour and Shading without Knowledge of Lighting Conditions or Surface Albedo
* Depth Reconstruction in Stereopsis
* Detecting Moving Objects
* Detecting Textons and Texture Boundaries in Natural Images
* Deterministic Bayesian Estimation of Markovian Random Fields with Applications to Computational Vision
* Development, Implementation, Testing, and Application of an Affine Transform Invariant Curvature Function
* Discrete Scale-Space Representation, A
* Early Detection of Motion Boundaries, The
* Error Analysis of Motion Parameter Estimation from Image Sequences
* Estimation of Image Motion Using Wavefront Region Growing
* Estimation of Motion and Structure of 3-D Objects from a Sequence of Images
* Evidence-Based 3D Vision System for Range Images, An
* Extracting Surfaces from Stereo Images: an Integrated Approach
* Fast and Reliable Passive Trinocular Stereovision
* From Waltz to Winston (via the Connection Table)
* Hierarchical Likelihood Approach for Region Segmentation According to Motion-Based Criteria, A
* Highlight Identification Using Chromatic Information
* Highspeed Stereo Matching System Based on Dynamic Programming, A
* Image Algebra in a Nutshell
* Image Sequence Analysis of Complex Physical Objects: Nonlinear Small Scale Water Surface Waves
* Image Sequence Segmentation Using Motion Coherence
* Inferring Surfaces from Boundaries
* Interaction of Different Modules in Depth Perception
* Invariant Properties of the Projections of Straight Homogeneous Generalized Cylinders
* Layout2: A Production System Modeling Visual Perspective Information
* Learning To Recognize Objects Using Feature Indexed Hypotheses
* Linking Image-Space and Accumulator-Space: A New Approach for Object Recognition
* Local Shape from Specularity
* Low Level Image Analysis on an MIMD Architecture
* Matching from 3-D Range Models into 2-D Intensity Scenes
* Matching Image Edges to Object Memory
* Method for Enforcing Integrability in Shape from Shading Algorithms, A
* Method for Initial Hypothesis Formation in Image Understanding, A
* Model for the Extraction of Image Flow, A
* Model of Visual Knowledge Representation, A
* Motion and Structure from Motion from Point and Line Matches
* Multi-Resolution Morphology
* Multisensor Integration: Experiments in Integrating Thermal and Visual Sensors
* New Approach to Surface Reconstruction: The Coupled Depth/Slope Model, A
* Object Recognition Using Alignment
* On Projective Geometry and the Recovery of 3-D Structure
* On the Geometric Interpretation of Image Contours
* One-Dimensional Regularization with Discontinuities
* Optical Flow Using Spatiotemporal Filters
* Optimal Edge Detection Using Recursive Filtering
* Optimal orientation detection of linear symmetry
* Parallel Algorithms for Computer Vision on the Connection Machine
* Perception and Computation
* Position-, Rotation-, and Scale-Invariant Pattern Recognition Using Parallel Distributed Processing
* Problem of Robust Shape Descriptions, The
* Propagation of Interpretations Based on Graded Resolution Input
* Quantization Errors in Stereo Triangulation
* Range-Imaging System Utilizing Nematic Liquid Crystal Mask
* Recognition by Parts
* Recognition of Object Families Using Parameterized Models
* Reconstruction of Two-Dimensional Velocity Fields as a Linear Estimation Problem
* Reconstructions of Surfaces from Profiles
* Representation and Three-Dimensional Interpretation of Image Texture: An Integrated Approach
* Representation of Variables in Connectionist Networks, The
* Scale Change Versus Scale Space Representation
* Shape Decomposition by Mathematical Morphology
* Shape from Darkness
* Shape Recognition from Single Silhouettes
* Singularities of Contrast Functions in Scale Space
* Snakes: Active Contour Models
* Solution and Uniqueness of Image Flow Equations for rigid Curved Surfaces in Motion
* Solving Ill-Conditioned Problems by Minimizing Equation Error
* Spectral and Polarization Stereo Methods Using a Single Light Source
* Stereo Error Detection, Correction, and Evaluation
* Stereopsis And Eye-Movement
* Symmetry-Seeking Models and 3D Object Reconstruction
* Three Dimensional Object Representation Revisited
* Tracing Surfaces for Surfacing Traces
* Two Dimensional Optimal Edge Recognition Using Matched and Weiner Filters for Machine Vision
* Two-Dimensional Solution to the Problem of Zero-Crossings and Spatiotemporal Interpolation in Computer and Human Vision, A
* Unified Approach to the Linear Camera Calibration Problem, A
* Unified Perspective on Computational Techniques for the Measurement of Visual Motion, A
* Unsupervised Bayesian Model-Learning with Application to Textured and Polynomial Image Segmentation
* Using a Color Reflection Model to Separate Highlights from Object Color
* What is Regular in Regularization?
98 for ICCV87
ICCV88
* *International Conference on Computer Vision
* Adaptive Clustering Algorithm for Image Segmentation, An
* Admissibility of Constraint Functions in Relaxation Labeling
* Aligning a Model to an Image Using Minimal Information
* Alignment of Objects with Smooth Surfaces, The
* Analysis of a Sequence of Stereo Scenes Containing Multiple Moving Objects Using Rigidity Constraints
* Application of Qualitative Depth and Shape from Stereo
* Applying Sensor Models to Automatic Generation of Object Recognition Programs
* Aspect Graphs and Nonlinear Optimization in 3-D Object Recognition
* Brightness-Based Stereo Matching
* Color from Black and White
* Color Image Analysis with an Intrinsic Reflection Model
* Color Reflectance Model and Its Use for Segmentation, A
* Combinatorics of Object Recognition in Cluttered Environments Using Constrained Search, The
* Computational Aspects of Determining Optical Flow
* Constraint-Based System for Interpretation of Aerial Imagery, A
* Coping with Discontinuities in Computer Vision: Their Detection, Classification and Measurement
* Creating the Perspective Projection Aspect Graph of Polyhedral Objects
* Creation of Structure in Dynamic Shape, The
* Detecting Specular Reflection Using Lambertian Constraints
* Determining the Optimal Weights in Multiple Objective Function Optimization
* Efficiently Computing and Representing Aspect Graphs of Polyhedral Objects
* Egomotion and the Stabilized World
* Error of Fit Measures for Recovering Parametric Solids
* Estimating Motion from Sparse Range Data Without Correspondence
* Evolution Properties of Space Curve
* Eye Fixation and Early Vision: Kinetic Depth
* Feasibility Of Motion And Structure Computations, The
* Geometric Hashing: A General and Efficient Model-Based Recognition Scheme
* Geometry from Specularities
* How the Delaunay Triangulation Can Be Used for Representing Stereo Data
* Image Description Via the Multiresolution Intensity Axis of Symmetry
* Information in the Geometric Structure of Retinal Flow Fields
* Learnable and Nonlearnable Visual Concepts
* Matching Perspective Images Using Geometric Constraints and Perceptual Grouping
* Measuring Image Flow by Tracking Edge-Lines
* Modal Control of an Attentive Vision System
* Morphological Algorithms for Computing Non-Planar Point Neighborhoods on Cellular Automata
* Morphological Feature Detection
* Motion And Depth From Binocular Orthographic Views
* Motion Coherence Theory, The
* Multigrid Bayesian Estimation of Image Motion Fields Using Stochastic Relaxation
* Multiple Shape-from-Texture into Texture Analysis and Surface Segmentation
* New Model-Based Stereo Approach for 3D Surface Reconstruction Using Contours on the Surface Pattern, A
* Nonlinear Approach to the Motion Correspondence Problem, A
* Novel Approach to Colour Constancy, A
* Occlusion-Sensitive Matching
* On the Congruence of Noisy Images to Line Segment Models
* On the Sensitivity of the Hough Transform for Object Recognition
* Optic Acceleration
* Optimal Computing of Structure from Motion Using Point Correspondences in Two Frames
* Optimal Corner Detector
* Optimal Morphological Approaches to Image Matching and Object Detection
* Organization of Curve Detection: Coarse Tangent Fields and Fine Spline Coverings, The
* Organization of Smooth Image Curves at Multiple Scales
* Parallel Depth Recovery by Changing Camera Parameters
* Parallel Optical Flow Using Local Voting
* Perceiving Structure from Motion: Failure of Shape Constancy
* Polynomial Methods for Structure from Motion
* Pyramid Implementation of Optimal Step Conjugate Search Algorithms for Some Computer Vision Problems
* Recognize the Similarity Between Shapes Under Affine Transformation
* Recognizing 3-D Objects Using Surface Descriptions
* Reconstruction of Consistent Shape from Inconsistent Data: Optimization of 2.5D Sketches
* Reconstruction of Surfaces of 3-D Objects by M-array Pattern Projection Method
* Recovering Shape Deformation by an Extended Circular Image Representation
* Representing Oriented Piecewise C^2 Surfaces
* Robust Depth Estimation from Optical Flow
* Robust Window Operators
* Self-Calibration of Stereo Cameras
* Shape From Angles Under Perspective Projection
* Shape Information from Shading: A Theory about Human Perception
* Singularities of Principal Direction Fields from 3-D Images
* Space-Time Sampling with Motion Uncertainty: Constraints on Space-Time Filtering
* Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network
* Structure and Motion from Two Perspective Views Via Planar Patch
* Surface Reconstruction by Dynamic Integration of Focus, Camera Vergence, and Stereo
* Surface Reconstruction from Image Sequences
* Synergistic Smooth Surface Stereo
* System for 3-D Workpieces Recognition, A
* Temporal Edges: The Detection of Motion and the Computation of Optical Flow
* Theory on Optical Velocity Fields and Ambiguous Motion of Curves, A
* Towards Real-Time Trinocular Stereo
* Towards the Automatic Generation of Recognition Strategies
* Translating Optical Flow into Token Matches and Depth from Looming
* Trinocular General Support Algorithm: A Three-Camera Stereo Algorithm for Overcoming Binocular Matching Errors, The
* Two-View Matching
* Unsupervised Bayesian Estimation for Segmenting Textured Images
* Using Dynamic Programming for Minimizing the Energy of Active Contours in the Presence of Hard Constraints
* Using Flow Field Divergence for Obstacle Avoidance: Towards Qualitative Vision
* Using Symmetries for Analysis of Shape from Contour
90 for ICCV88
ICCV90
* *International Conference on Computer Vision
* 2.1-D Sketch, The
* 3D Structure from a Monocular Sequence of Images
* About Lacunarity, Some Links Between Fractal and Integral Geometry and an Application to Texture Segmentation
* Accurate Corner Detection: An Analytical Study
* Active 3D Object Models
* Active Surface Reconstruction by Integrating Focus, Vergence, Stereo, and Camera Calibration
* Analysis of facial images using physical and anatomical models
* Appearance-Model-Based Representation and Matching of 3-D Objects
* approach to 3D scene reconstruction from noisy binocular image sequences using information fusion, An
* Approach to Color Constancy Using Multiple Images, An
* Bayesian Decision Theoretic Approach for Adaptive Goal-Directed Sensing, A
* BONSAI: 3D Object Recognition Using Constrained Search
* Calculating Surface Reflectance Using a Single-Bounce Model of Mutual Reflection
* Collaboration between computer graphics and computer vision
* Compact Image Representation from Multiscale Edges
* computational model for face location, A
* Computing Optical Flow from an Overconstrained System of Linear Algebraic Equations
* Computing Spatiotemporal Surface Flow
* Computing the Visual Potential of an Articulated Assembly of Parts
* Computing Two Motions from Three Frames
* Cooperative Integration of Multiple Stereo Algorithms
* Curved Inertia Frames and the Skeleton Sketch: Finding Salient Frames of Reference
* Decomposition Theory and Transformations of Visual Directions
* Description and Reconstruction from Image Trajectories of Rotational Motion
* Detecting and Localizing Edges Composed of Steps, Peaks and Roofs
* Detecting Height from Constrained Motion
* Detection of Convex and Concave Discontinuous Points in a Plane Curve
* Detection of Interest Points Using Symmetry
* Determining Back-Facing Curved Model Surfaces by Analysis at the Boundary
* Determining Camera Rotation from Vanishing Points of Lines on Horizontal Planes
* Determining Reflectance Parameters Usi