Damage Assessment
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Change Detection, Damage Assessment (H3)
Data Fusion
* 3-D Model Construction from Multiple Views Using Range and Intensity Data
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery
* Information Fusion Problem and Rule Based Hypothesis Applied to Complex Aggregations of Image Events, The
* Markov Random Field Approach to Data Fusion and Colour Segmentation, A
* Parallel Integration of Vision Modules
* Segmentation of Range Images Via Data Fusion and Morphological Watersheds
* Segmenting Unstructured 3D Points into Surfaces
* Surface Reconstruction by Dynamic Integration of Focus, Camera Vergence, and Stereo
13 for Data Fusion
Data Structures
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* System Issues, Data Structures (H3)
* Fast Algorithms for Basic Processing and Analysis Operations on Block-Represented Binary Images
Data Visualization
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Graphics, Rendering Issues (H3)
Database Organization
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Organizing Large Structural Modelbases
Database
* *Digital Image Storage and Archiving Systems
* *Storage and Retrieval for Image and Video Databases II
* *Storage and Retrieval for Image and Video Databases
* *Storage and Retrieval for Still Image and Video Databases IV
* *Visual Communications and Image Processing '96
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Database Indexing Using Color and Shape or Regions (H3)
* Database Indexing Using Color (H3)
* Database Indexing Using Complex Features or Object Models (H4)
* Database Indexing Using Shape Descriptions and Features (H3)
* Database Indexing Using Texture (H3)
* Database Indexing, Specific Tasks (H3)
* Database Issues, Finding People (H2)
* Document Retrieval Systems, Databases and Issues, Libraries (H2)
* Image Database -- Overall Systems (H2)
* Image Database Applications (H1)
* Image Database Indexing Techniques (H2)
* Image Database, Retrieval -- Surveys, Evaluations (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Object Extraction, Object Detection for Database Indexing (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
* Recognition by Color Indexing (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Retrieval and Indexing Applied to Coded Images (H3)
* Shape Features for Database Indexing, Feature Extraction (H4)
* Video Database General, Overview, Survey and Evaluations (H3)
* Video Database Indexing Systems (H3)
* Video Database Indexing Techniques (H3)
* Video Database Indexing, Color Analysis, Object Appearance (H4)
* Video Database Indexing, Motion Analysis (H4)
* Video Database Issues and Techniques (H2)
* Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
* Automatic-Indexing and Content-Based Retrieval of Captioned Images
* Efficient Color Histogram Indexing for Quadratic Form Distance Functions
* Similar-Shape Retrieval in Shape Data Management
* Using Discriminant Eigenfeatures for Image Retrieval
38 for Database
Database, Face
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Face Retrieval, Face Databases, Retrieval of Faces (H2)
Database, Fingerprints
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-Time Matching System for Large Fingerprint Databases
Database, Survey
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Image Database Management
Dataset
* *LHI Object Datasets
* *Lotus Hill Institute
* *Oxford Image Examples
* *PEIPA Computer Vision Software
* *Princeton
* *Spectral Imaging Data Base
* *Washington Ground Truth Image Database
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Radius CDROM Ground Truthed Data Set, The
10 for Dataset
Dataset, 3-D Data
* *PRISM: 3D Data Archives and Public Access
* *Stanford 3D Scanning Repository, The
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* How to measure the pose robustness of object views
* Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
* WWW-Accessible 3D Image and Model Database for Computer Vision Research, A
8 for Dataset, 3-D Data
Dataset, 3-D Models
* *Large Geometric Models Archive
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Dataset, Action Recognition
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Free viewpoint action recognition using motion history volumes
Dataset, Actions
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Actions as Space-Time Shapes
* Propagation networks for recognition of partially ordered sequential action
* Recognizing human actions: a local SVM approach
* Tracking Multiple Objects through Occlusions
Dataset, Aerial Images
* *Aerial Image Dataset
Dataset, Biometrics
* *BANCA Database, The
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Biosec baseline corpus: A multimodal biometric database
* MCYT baseline corpus: a bimodal biometric database
* XM2VTSDB: The Extended M2VTS Database
Dataset, Buildings
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Calibrated, Registered Images of an Extended Urban Area
Dataset, Cardiac MRI
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Cardiac MRI dataset
Dataset, Checks
* OCR, Document Analysis and Character Recognition Systems (H)
* new database for research on bank-check processing, A
Dataset, Color Calibration
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera characterization for color research
Dataset, Color Constancy
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Data Set for Colour Research, A
Dataset, Discussion
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Dataset Issues in Object Recognition
Dataset, Documents
* *NIST OCR Databases
* *Warped Documents, IUPR
* OCR, Document Analysis and Character Recognition Systems (H)
* UvA color document dataset, The
Dataset, Expressions
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Comprehensive Database for Facial Expression Analysis
Dataset, Faces
* *Annotated Facial Dataset
* *AR Face Database, The
* *BioID Face Database
* *CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations, The
* *Description of the Collection of Facial Images
* *Equinox: Human Identification at a Distance (HID)
* *Face Detection Home Page
* *Face Recognition Vendor Test 2006
* *Face Recogniton Home Page
* *FERET Database, The
* *Frontal Face Images
* *NIST Mugshot Identification Database
* *ORL Database of Faces, The
* *UCD Colour Face Image Database for Face Detection, The
* *UMIST Face Database, The
* *University of Oulu Physics-Based Face Database, The
* *Yale Face Database
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* CMU Pose, Illumination, and Expression (PIE) Database of Human Faces, The
* Comprehensive Database for Facial Expression Analysis
* FERET Database and Evaluation Procedure for Face-Recognition Algorithms, The
* FERET Evaluation Methodology for Face-Recognition Algorithms, The
* Hyperspectral Face Database
* Iranian Face Database with age, pose and expression
* VALID: A New Practical Audio-Visual Database, and Comparative Results
* Video Database of Moving Faces and People, A
26 for Dataset, Faces
Dataset, Facial Expressions
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Coding Facial Expressions with Gabor Wavelets
Dataset, Fingerprints
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* FVC2000: Fingerprint Verification Competition
* NIST Special Database 4, Fingerprint Database
Dataset, Gait
* *Baseline Algorithm and Performance for Gait Based Human ID Challenge Problem
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Dataset, Handwriting
* *Ground Truthed Handwritten Word Images
* *On-line Handwriting Database
* *Unipen Project
* *USPS Office of Advanced Technology Database of Handwritten Cities, States, ZIP Codes, Digits, and Alphabetic Characters
* OCR, Document Analysis and Character Recognition Systems (H)
* Database for Handwritten Text Recognition Research, A
Dataset, Human Motion
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion
* INRIA Person Dataset
Dataset, Hyperspectral
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Information limits on neural identification of coloured surfaces in natural scenes
* Statistics of spatial cone-excitation ratios in natural scenes
Dataset, Image Retrieval
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Evaluating Image Retrieval
Dataset, Images
* *Abel Stock
* *CalTech Archived Images
* *Fotosearch
* *OSU Datasets
* *University of Southern California, Signal and Image Processing
Dataset, Iris Images
* *CASIA Iris Image Database
* *Iris Recognition Database
* *NIST ICE Iris Image Database
* *UBIRIS database
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Iris Database
Dataset, Mammography
* *DDSM: Digital Database for Screening Mammography
* *MiniMammographic Database
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Dataset, Matching
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Registration of Challenging Image Pairs: Initialization, Estimation, and Decision
Dataset, Medical Images
* *Medical Dataset Archive
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Dataset, Motion Capture
* *CMU Graphics Lab Motion Capture Database
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Dataset, Motion
* *CMU VASC Image Database
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Human-assisted motion annotation
Dataset, Natural Scenes
* *CalTech 100 Natural Scenes
Dataset, Object Detection
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* CBCL StreetScenes Challenge Framework
Dataset, Object Recognition
* *LHI Object Datasets
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
Dataset, Objects
* *CalTech 101 Objects Categories
* *PASCAL Object Recognition Database Collection, The
* *Video Objects: A Test Database for Video Object Recognition
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Amsterdam Library of Object Images, The
* Columbia Object Image Library (COIL-100)
* Learning methods for generic object recognition with invariance to pose and lighting
8 for Dataset, Objects
Dataset, OCR
* *ERIM Arabic Document Database
* *Japanese Character Image Database
* *NIST OCR Databases
* *UMD Logo Database
* OCR, Document Analysis and Character Recognition Systems (H)
Dataset, Optical Flow
* Optical Flow Field Computations and Use (H)
* Database and Evaluation Methodology for Optical Flow, A
Dataset, Outdoor Scene
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* All the Images of an Outdoor Scene
Dataset, Pedestrians
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Experimental Study on Pedestrian Classification, An
Dataset, People
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Accurate Object Localization with Shape Masks
Dataset, Perceptual Grouping
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* in-depth study of graph partitioning measures for perceptual organization, An
Dataset, Photogrammetry
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Internet database for photogrammetric close range applications
Dataset, Retina
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* DIARETDB1 diabetic retinopathy database and evaluation protocol, The
Dataset, Retrieval
* *BBC Motion Gallery
* *Washington Ground Truth Image Database
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Dataset, Segmentation
* *LHI Segmentation Dataset
* *LHI Surveillance Dataset
* *Validation and Verification of Neural Network Systems
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, A
* Evaluation of Localized Semantics: Data, Methodology, and Experiments
7 for Dataset, Segmentation
Dataset, Sports
* *LHI Sports Activity Dataset
* *UCF Sports Action Dataset
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Dataset, Steganalysis
* OCR, Document Analysis and Character Recognition Systems (H)
* Unseen Challenge data sets, The
Dataset, Stereo
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms, A
Dataset, Surface Reconstruction
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms, A
Dataset, Surveillance
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Crowd Flow Segmentation and Stability Analysis
* Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, A
* Terrascope Dataset: Scripted Multi-Camera Indoor Video Surveillance with Ground-truth, The
Dataset, Texture
* *CUReT: Columbia-Utrecht Reflectance and Texture Database
* *MIT Texture Data
* *Outex: New framework for empirical evaluation of texture analysis algorithms
* *Texture Data
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* PSU Near-Regular Texture Database
Dataset, Vehicles
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Learning to Detect Objects in Images via a Sparse, Part-Based Representation
Dataset, Video
* *BBC Motion Gallery
* *BEHAVE Interactions Test Case Scenarios
* *CAVIAR Test Case Scenarios
* *CVBASE Annotated Video Data
* *Optic Flow Data
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
7 for Dataset, Video
DCT
* OCR, Document Analysis and Character Recognition Systems (H)
* Watermarks in Transform Domains, Compressed Images (H2)
Decision Fusion
* Decision Fusion (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Decision Tree
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Extracting Decision Trees from Trained Neural Networks
* Multiscale Classifier, The
Deconvolution
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Restoration by Deconvolution (H2)
Deformable Curves
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Active Contours, Snakes or Deformable Curves (H2)
* Snakes, Algorithms for Computation (H3)
* Snakes, Applications (H3)
* Snakes, General Techniques and Descriptions (H3)
* Snakes, Interactive Region Segmentations (H4)
* Snakes, Matching Deformable Contours (H3)
* Snakes, Region Segmentation Issues (H3)
* Snakes, Restricted Curves, Splines, etc. (H2)
* Tracking Applied to Heart Images (H3)
* Tracking Deformable Shapes (H3)
11 for Deformable Curves
Deformable Models
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Deformable Models for Segmentation (H2)
* Deformable Models, General, Overview (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Representations for Deformable Models (H2)
* Inferring 2D Object Structure from the Deformation of Apparent Contours
Deformable Solids
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)
* Balloon Models (H2)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle (H3)
* Deformable Models, Medical Applications (H2)
* Deformable Models, University of Manchester Papers (H2)
* Deformable Solids -- Pentland Papers (H2)
* Deformable Solids -- Terzopoulos Papers (H2)
* Nonrigid, Deformable Motion Analysis and Tracking (H2)
* SuperQuadric Representations (H1)
* Surfaces, Rubber Sheets, Plates (H2)
* Perceptual Organization and the Representation of Natural Form
13 for Deformable Solids
Deformable Surfaces
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Active Volumes, Deformable Solids, 3-D Snakes, etc. (H1)
Deformable Template
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Deformable Template Matching (H3)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Active Appearance Models
* Bayesian Framework for Deformable Pattern Recognition with Application to Handwritten Character Recognition
* Deformable Template Approach to Detecting Straight Edges in Radar Images, A
* Interpretation of Synthetic Aperture Radar Image Using Projective Invariants and Deformable Templates, The
* Object Matching Using Deformable Templates
* Representation and Matching of Pictorial Structures, The
* Scale Space Based Deformable Template Matching Algorithm, A
* Structural Image Restoration through Deformable Templates
* Visual Image Retrieval by Elastic Matching of User Sketches
16 for Deformable Template
Deinterlace
* Deinterlacing (H3)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
Delaunay
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Division-Based Analysis Of Symmetry And Its Application
DEM
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Terrain Extraction, DEM, DTM (H1)
Demosaic
* Demosaicing, Demosaicking (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Dempster-Shafer
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Mathematical Theory of Evidence, A
* Statistical Viewpoint on the Theory of Evidence, A
Depth Coding
* Coding, Stereo, Disparity Maps, 3-D Shapes, Mesh (H2)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
Depth from Focus
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Depth from Focus, Changing Camera Parameters (H1)
Depth from Motion
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Optical Flow Field Computations and Use (H)
* On the Estimation of Depth from Motion Using an Anthropomorphic Visual Sensor
* Using Camera Motion to Estimate Range for Robotic Parts Manipulation
Depth Measurement, Survey
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Perspective on Range Finding Techniques for Computer Vision, A
Depth Sensor
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)
Derivative
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Differential and Derivative Filters (H2)
Descriptions, CAD
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Graphics and CAD Based Vision, CAD Models (H1)
* Spherical Dual Images: A 3D Representation Method for Solid Objects that Combines Dual Space and Gaussian Spheres
Descriptions, EGI
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations (H
Descriptions, Facet
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Facet Model for Descriptions, The (H2)
Descriptions, General
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Other Description Techniques (H1)
* None
Descriptions, Generalized Cylinders
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Generalized Cylinders -- Generation (H2)
* Generalized Cylinders -- Theory (H2)
* Generalized Cylinders -- Use (H2)
* Generalized Cylinders, Medial Axis Descriptions (H1)
* Representation and Recognition of Three-Dimensional Shapes
* Visual Perception by Computer
7 for Descriptions, Generalized Cylinders
Descriptions, Geons
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Human Image Understanding: Recent Research and a Theory
* Primitive-Based Shape Modeling and Recognition
Descriptions, Meshes
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Generation or Representation of Surface Patches (H1)
Descriptions, Occupancy Grids
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Occupancy Grids, Voxels (H2)
Descriptions, Octree
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions (H
* Managing Large 3D Urban Database Contents Supporting Phototexture and Levels of Detail
Descriptions, Parametric
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Range Image Interpretation of Mail Pieces with Superquadrics
Descriptions, Parts
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Representation of Parts, Part-Based Models (H1)
* Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
* Finding and Describing Objects in Complex Images
* Object Recognition by Functional Parts
* Structured Description of Complex Objects
7 for Descriptions, Parts
Descriptions, Planar Patches
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Planar Patches from Range, Planar Surfaces (H2)
Descriptions, Range and Regions
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Region Techniques for Range and Surfaces (H2)
Descriptions, Relational Network
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Descriptions Based on Relational Network Structures (H1)
Descriptions, Ribbons
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Ribbon Descriptions (H2)
Descriptions, Scale Space
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Scale Space for Descriptions (H2)
* Scale Space Theory (H2)
Descriptions, Superquadrics
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Range Image Interpretation of Mail Pieces with Superquadrics
Descriptions, Surface Curvature
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Curvature and Features of Surfaces and Range Data (H2)
Descriptions, Surface Patches
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Generation or Representation of Surface Patches (H1)
* Polygonal Surface Patch Models (H3)
* Surface Patches, Planes, Descriptions from Range (H2)
Descriptions, Three-Dimensional
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Other Description Techniques (H1)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Roof Structure, 3-D (H2)
* Three-Dimensional Descriptions -- General (H1)
* Range Image Understanding
* Recent Progress in the Recognition of Objects from Range Data
8 for Descriptions, Three-Dimensional
Descriptions, Voxels
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions (H
* Building an Environment Model Using Depth Information
Detection of Moving Objects
* Optical Flow Field Computations and Use (H)
* Detection of Independent Motion Using Directional Motion Estimation
Dialogue
* Books, Collections, Overviews, General, and Surveys (H)
* Computational and Evolutionary Perspective on the Role of Representation in Vision, A
* Dialogue: Ignorance, Myopia, and Naivete in Computer Vision Systems
* Expert Vision Systems: Some Issues
* Methodology for Experimental Computer Vision
Differential Geometry
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Two-Plus-One-Dimensional Differential Geometry
Differential Invariants
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
Differential
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Differential and Derivative Filters (H2)
Differentiation Filter
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* High-Order Differentiation Filters That Work
Diffuse Illumination
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Shape from Shading on a Cloudy Day
Diffusion Process
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Diffusion Applied to Edge Detection (H2)
* Diffusion Process for Enhancement, Restoration and Smoothing (H2)
* Diffusion Process, Mechanism, or Technique (H1)
* Diffusion Process, Survey, Overview (H2)
Digital Accuracy, Evaluation
* Books, Collections, Overviews, General, and Surveys (H)
* Precision of Digital Vision Systems
Digital Curvature Estimation
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Towards Effective Planar Shape Representation with Multiscale Digital Curvature Analysis Based on Signal-processing Techniques
Digital Elevation Map
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Terrain Extraction, DEM, DTM (H1)
Digital Geometry
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Digital Geometry -- Lines, Curves and Contours (H3)
* Digital Geometry (H2)
* Image Representation Techniques (H1)
* Triangular, Hexagonal Grids, Geometry, Computations (H3)
Digital Terrain Map
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* DEM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)
* Terrain Extraction, DEM, DTM (H1)
Digital Topology
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Digital Topology (H2)
Digital Topology, Survey
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Digital Topology: Introduction and Survey
Dimensionality
* Number of Features, Dimensionality, Dimensionality Reduction (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Direction
* Limited Ego Motion Recovery, Direction or Heading (H3)
* Optical Flow Field Computations and Use (H)
Disambiguating Features
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Resolving View Sensitivity With Surface Locality
Discontinuities in Surfaces
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Discontinuity Analysis in Surface Reconstruction (H3)
Discrete Straight Line
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Fresh Look At the Hough Transform, A
Discrete Topology
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Digital Geometry (H2)
Discriminant Analysis
* Discriminant Analysis (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Discrimination Rule
* Distance Measures, Criteria for Clustering (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Disparity Gradient
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Bayesian-approach to Binocular Stereopsis, A
Display, Stereo
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Stereoscopic Viewing (H1)
Distance Function
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Distance Transforms, Distance Functions, Distance Measures (H2)
* Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
* Three Dimensional Distance Transforms and Distance Functions (H3)
Distance Map
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Distance Transforms, Distance Functions, Distance Measures (H2)
Distance Measures
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Basic Comparison of Relational Network Descriptions (H2)
* Distance Measures, Criteria for Clustering (H2)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement
* On Affine Invariant Clustering and Automatic Cast Listing in Movies
* Toward Improved Ranking Metrics
10 for Distance Measures
Distance Metric
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
* Matching Three-Dimensional Objects Using a Relational Paradigm
* Metric for Comparing Relational Descriptions, A
Distance Transform
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Closest Point Algorithms, ICP, Iterative Closest Point (H3)
* Distance Transforms, Distance Functions, Distance Measures (H2)
* Distance Transforms, Functions and Skeletons (H2)
* Similarity Measure, Distance Transforms and Functions for Objects and Shapes (H3)
* Three Dimensional Distance Transforms and Distance Functions (H3)
Distortion
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Image Manipulation -- Warping, etc. (H2)
Document Analysis
* *Document Recognition II
* Analysis of Maps (H3)
* Analysis Systems Applied to Documents (H1)
* Books, Collections, Overviews, General, and Surveys (H)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Document Analysis Systems, General, Survey, Evaluation (H2)
* Document Layout, Structure Analysis, Web Documents, Online Documents (H4)
* Document Layout, Structure Analysis (H3)
* Documents and Character Analysis -- Surveys, Comparisons, Evaluations (H1)
* Engineering Drawings, Hand Drawings Analysis (H2)
* Extract Data from Specific Forms (H3)
* Find Text in Documents (H4)
* Form and Layout Analysis (H2)
* Line Vectorization, Document Analysis (H2)
* Mail -- Addresses, Document Analysis (H2)
* Map Analysis, Analysis of Map data, Map Processing (H2)
* Newspaper Structure Extraction (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
* Page Segmentation, General, Evaluations (H4)
* Separate Images and Graphics from Text (H4)
* Specific Examples: Extract Titles, Table of Contents, Citation, Information from Papers and Books (H4)
* Table Segmentation, Extract Tables or Forms, General (H4)
* Text Detection, Find Text in General Scenes, Color Documents (H4)
* Text vs. Non-Text Regions (H4)
* Block Segmentation and Text Extraction in Mixed Text/Image Documents
* Image Analysis Applications
* Segmentation of Document Images
* Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation
28 for Document Analysis
Document Compression
* Document Compression, Document Coding Systems and Techniques (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
Document Layout
* OCR, Document Analysis and Character Recognition Systems (H)
* Page Segmentation and Zone Classification: The State of the Art
Document Restoration
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Enhancement, Restoration of Document Images, Curls (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
* Shape from shading for the digitization of curved documents
Document Retrieval
* Document Retrieval Systems, Databases and Issues, Libraries (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
Document Understanding
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Vector-Based Arc Segmentation in the Machine Drawing Understanding System Environment
Documents
* Document Mosaic Generation (H3)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
DPCM
* Differential Pulse Code Modulation (DPCM) Coding (H
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
Drawing Analysis
* OCR, Document Analysis and Character Recognition Systems (H)
* Drawing Understanding Framework Using State Transition Models
Drawing Recognition, Survey
* OCR, Document Analysis and Character Recognition Systems (H)
* Image Processing for Data Capture
Drawings
* Analysis of Graphics, Symbols, Trademarks, Logos (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
Driver Assistance
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Driver Assistance Systems and Techniques (H3)
Driver Monitoring
* Driver Monitoring, Eyes, Gaze (H4)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach
Drop Off Problem
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Qualitative Navigation -- Drop Off (H4)
DTM
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* DEM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)
* Terrain Extraction, DEM, DTM (H1)
Dual Space
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Dual/Gradient Space Concepts (H1)
Dynamic Programming
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Classical Mechanics and Road Detection in SPOT Images
* Coarse-to-Fine Dynamic Programming
* Road Extraction from Aerial and Satellite Images by Dynamic-Programming
* Using Dynamic Programming for Solving Variational Problems in Vision
7 for Dynamic Programming
Dynamic Stereo
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Active/Dynamic Stereo for Navigation
Dynamic Texture
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Dynamic Textures (H2)