TABU Search
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Tabu Search (H3)
* Future paths for Integer Programming and Links to Artificial Intelligence
Tactile Sensing
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Computational Approaches for Processing and Analysis of Tactile Information
* Feature-Based Tactile Object Recognition
* Integrated System for Active Exploration Using Contact and Non-Contact Sensors, An
* Model-Based Recognition and Localization from Sparse Range or Tactile Data
7 for Tactile Sensing
Target Pose Estimation
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Registration and Exploitation of Multi-pass Airborne Synthetic Aperture Radar Images
Target Recognition
* *Automatic ObjectTarget Recognition VIII
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* ATR Applications (H1)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Image Clutter Characterization for Object Detection in High Clutter Images
Target Tracking
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Region, Target Tracking (H2)
* Target and Feature Tracking, Multi-Object, Multiple Objects, Multiple Target (H3)
* Target Tracking Systems (H3)
* Target Tracking Techniques, Evaluation, Comparison, Survey (H3)
* Target Tracking Techniques, Motion Models, Prediction, Control (H3)
* Target Tracking Techniques, Occlusions, Clutter (H4)
* Target Tracking Techniques, Particle Filter Techniques (H4)
* Target Tracking Techniques, Tests (H4)
* Target Tracking, Active, Camera Following, Real Time Issues, Hardware (H3)
* Target Tracking, Collision Detection (H3)
* Target Tracking, Multiple Sensors, Multiple Cameras (H3)
* Tracking for Weather, Clouds (H3)
* Tracking Known Objects, Models, Points, Robot Hand-Eye Tracking (H3)
14 for Target Tracking
Task Planning
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Task Planning and Action Coordination in Integrated Sensor-Based Robots
Telepresence
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Telepresence, Teleoperation, Immersion (H3)
Television
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* HDTV Issues, Coding, Transmission (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Transmission Issues, Special Issues, Surveys (H3)
* Transmission, Television, and Television Coding (H2)
* Method of Coding TV Signals Based on Edge Detection, A
Template Decomposition
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Simplified Algorithm for Approximate Separable Decomposition of Morphological Templates, A
Template Matching
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Optical Flow Field Computations and Use (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Template Matching Techniques (H2)
* Correlation-Relaxation-Labeling Framework for Computing Optical Flow: Template Matching from a New Perspective, A
* Object Detection Using Focused Color DCT Matching
* Online Recognition of Handwritten Symbols
* Person Identification Using Multiple Cues
* Representation and Recognition of Handwritten Digits Using Deformable Templates
* Vision-Based Road Detection in Automotive Systems: A Real-Time Expectation-Driven Approach
13 for Template Matching
Terrain
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* DEM, DTM, Evaluations, Valdiation, Surveys, Overviews (H2)
* Terrain Extraction, DEM, DTM (H1)
Tetrahedral Representation
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Local Topological Parameters in a Tetrahedral Representation
Text Analysis
* OCR, Document Analysis and Character Recognition Systems (H)
* Reading Chess
Text Recognition
* Cursive Script, Text Line Segmentation, Segmentation, Text Line Extraction (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
Texture Analysis
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Texture Discrimination and Classification (H2)
* Texture for Defect Detection (H2)
* Is There Any Texture in the Image?
Texture Boundary
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Texture Boundaries and Edges (H2)
Texture Models
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Texture Models, Analysis Techniques (H2)
Texture Recognition
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Real-Time Recognition with the Entire Brodatz Texture Database
Texture Segmentation
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Multi-Scale, Pyramid Texture Segmentation Approaches (H2)
* Noise Models in Segmentation (H2)
* Textures and Color for Segmentation (H2)
Texture Synthesis
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Image repairing: robust image synthesis by adaptive ND tensor voting
* Multispectral Texture Synthesis Using Fractal Concepts
Texture
* *Visual Information Processing V
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Review, Comparison, Evaluation of Texture Analysis Techniques (H1)
* Texture Edge Operators (H3)
* Automatic Watershed Segmentation of Randomly Textured Color Images
* Comparative Study of Textural Analysis Techniques to Characterise Tissue from Intravascular Ultrasound
* Personal identification based on iris texture analysis
11 for Texture
Texture, Co-occurrence
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Co-occurrence Matrix Description Methods (H1)
Texture, Color
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Modeling and Identifying 3-D Color Textures
Texture, Evaluation
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Filtering for Texture Classification: A Comparative Study
* Optical Texture Analysis for Automatic Cytology and Histology: A Markovian Approach
* Theoretical Comparison of Texture Algorithms, A
Texture, Orientation
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Texture for Surface Orientation (H2)
Texture, Recognition
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Classification of Textures by Structural Analysis
Texture, Segmentation
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Texture Based Segmentation Techniques (H1)
Texture, Shape
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Shape from Texture (H1)
Texture, Statistical
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Statistical Methods for Texture Description and Analysis (H1)
* Statistical Texture Classification (H2)
Texture, Structural
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Structural Methods for Texture Description (H1)
Texture, Survey
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Statistical and Structural Approaches to Texture
* Texture Analysis Anno 1983
Texture, Transforms
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Transforms for Texture -- Fourier (H1)
Textures, Filters
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Filter Approaches to Texture (H2)
* Wavelets, Gabor Filters for Texture (H3)
Textures, Fractals
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Fractals for Texture Analysis and Description, Fractal Dimension (H2)
Textures, Oriented
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Oriented Texture, Directional Texture Patterns (H2)
Textures, Structural
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Multi-scale Region Detector, A
Textures, Synthesis
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Models for Texture Synthesis (H3)
* Texture Synthesis (H2)
Thai Characters
* OCR, Document Analysis and Character Recognition Systems (H)
* Recognition of Handprinted Thai Characters Using Loop Structures
Theil-Sen Estimator
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Efficient Randomized Algorithms for Robust Estimation of Circular Arcs and Aligned Ellipses
Thinning Techniques
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Distance Transforms, Distance Functions, Distance Measures (H2)
* Skeletons and Axial Descriptions - Medial Axis Transform (MAT) etc. (H
* Thinning Methodologies: A Comprehensive Survey
Thinning
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Thinning Algorithms in Three Dimensions (H3)
* Thinning Algorithms (H2)
* Specialized Edge-Trackers for Contour Extraction and Line-Thinning
Three-Dimensional Data
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Morphology for Range and 3-D data (H3)
Three-Dimensional Models
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* MRI, Noise and Artifact Reduction (H2)
* MRI, Surveys, Overviews, Evaluations (H2)
* Segmentation, Features, Models from Magnetic Resonance Data, MRI (H2)
Three-Dimensional Skeleton
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* MAT, Skeletons in Three Dimensions (H2)
Three Dimensional Computations
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Basic Algorithms for Three-Dimensional Computations (H1)
Three Dimensional Points
* 2-D Points with 3-D Structures (H2)
* 3-D Points with 3-D Structures (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Three Views, Stereo
* Stereo Using Three Views, Trinocular Stereo (H1)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Threshold Selection
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Histogram Analysis for Threshold Selection and Segmentation (H2)
Threshold Selection, Survey
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Survey of Threshold Selection Techniques, A
* Survey of Thresholding Techniques, A
Thresholding
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Comment on Using the Uniformity Measure for Performance-Measure in Image Segmentation
Thresholds, Evaluation
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Comparative Performance Study of Several Global Thresholding Techniques for Segmentation, A
* Threshold Evaluation Techniques
Tiled Images
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Fast Linear Transformation For Tiled Images
Time to Collision
* Focus of Expansion and Other Features (H2)
* Obstacle Detection, Time to Collision Techniques (H2)
* Optical Flow Field Computations and Use (H)
* Analyzing Looming Motion Components from Their Spatiotemporal Spectral Signature
Time to Impact
* Focus of Expansion and Other Features (H2)
* Optical Flow Field Computations and Use (H)
TIN
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Triangulated Surface Models, Mesh Models, 3-D Meshes (H3)
* Iterative TIN Generation from Digital Elevation Models
* Radial Sweep Algorithm for Constructing Triangulated Irregular Networks, The
Tomography
* Diffraction Tomography (H2)
* Electrical Impedance Tomography (H2)
* Iterative Reconstruction Techniques (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Optical, Infrared Tomography (H2)
* Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction (H2)
* Tomographic Image Generation, Reconstruction (H2)
* Tomographic Images, Artifact Removal, Enhancement (H2)
* Tomographic Images, CAT Scans (H1)
* Tomographic Images, Overviews, Surveys (H2)
10 for Tomography
Topological Structure
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Resolving View Sensitivity With Surface Locality
Topology
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Digital Topology (H2)
* Three Dimensional Geometry and Topology, Computational Geometry (H2)
Tracking Objects
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Visual Servoing using Correlation Filters
Tracking
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Active Contours, Snakes or Deformable Curves (H2)
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Active Vision: Foveal Sensing (H2)
* Active Vision: Gaze Control (H2)
* Arm Tracking for Gestures (H4)
* Contours Through a Sequence (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Hand Tracking for Gestures (H3)
* Hand-Eye Coordination (H2)
* Head Motion, Head Tracking, Tracking Faces in Video (H1)
* Long Sequence Matching and Motion (H2)
* Long Sequences, Motion (H3)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Motion Estimates Using 5 or More Frames (H2)
* Obstacles, Collision, Other Vehicles, Objects on the Road (H3)
* Region, Target Tracking (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Snakes, Applications (H3)
* Snakes, General Techniques and Descriptions (H3)
* Snakes, Motion Tracking (H2)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Target Recognition with Tracking, Recognition in Sequences (H2)
* Tracking Animals, Animal Gait (H4)
* Tracking Faces, Heads Using Color Models (H3)
* Tracking of Moving Objects and Matching in Sequences (H1)
* Tracking People with 3D Models (H4)
* Tracking People with Multiple Cameras or Depth (H4)
* Tracking People, Human Tracking (H3)
* Analysis of Two-Dimensional Movement Using Fourier Descriptors
* Error Propagation in two-sensor 3D position estimation
* Incremental Focus of Attention for Robust Visual Tracking
* Recognition via Consensus of Local Moments of Brightness and Orientation
* Toward a System for the Interpretation of Moving Light Display
* Vehicle Segmentation and Classification Using Deformable Templates
35 for Tracking
Tracking, Clouds
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Tracking for Weather, Clouds (H3)
Tracking, Nonrigid
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Nonrigid, Deformable Motion Tracking (H3)
Trademarks
* Analysis of Graphics, Symbols, Trademarks, Logos (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
Traffic Analysis
* Analysis of Traffic (H3)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Training Set
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Training Set Size, Analysis, Selection (H2)
Transcoding
* Hardware and Systems for Transcoding, Conversions (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Transform Coding
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Transform Coding -- General (H2)
Transform
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Multiplierless PR Quadrature Mirror Filters for Subband Image-coding
Transforms
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Filters and Transforms for Recognition or Detection (H1)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Lifting Operator, Transform (H4)
* Transforms, Radon, Haar, Hadamard, etc. (H2)
Translation Estimation
* Optical Flow Field Computations and Use (H)
* Performance of Camera Translation Direction Estimators from Optical-flow: Analysis, Comparison, and Theoretical Limits, The
Transmission
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image Transmission Issues, Progressive Transmission -- Still Images (H3)
* Lossless Coding, Lossless Compression, Transmission (H2)
* Transmission Issues, ATM Networks (H3)
* Transmission Issues, Coding (H3)
* Transmission Issues, Internet, Packet Video (H3)
* Transmission Issues, Reduce Errors from Coding or Transmission (H3)
* Transmission Issues, Special Issues, Surveys (H3)
* Transmission Issues, Wireless Systems, Mobile Systems (H3)
* Video Phone Issues, Coding (H3)
11 for Transmission
Tree Classifiers
* Decision Trees (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Tree Searching
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Matching Using Tree Searching Techniques (H2)
Trees
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Trees, Individual Trees, Tree Crowns (H2)
Trees, Sigma
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Sigma-Tree Q A Symbolic Spatial Data Model, The
Triangulated Models
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* General Triangulation Models, Delaunay (H4)
* Triangulated Surface Models, Mesh Models, 3-D Meshes (H3)
Triangulation
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Surface Griding with Intrinsic Parameters
Trifocal Tensor
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Threading Fundamental Matrices
Trilinear Tensor
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* On Degeneracy of Linear Reconstruction From Three Views: Linear Line Complex and Applications
Trinocular Stereo
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Segmented Shape Description from 3-View Stereo
Turbulence
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Super Resolution, Restoration, for Atmosphere Effects, Turbulence (H3)
Two Dimensional Histograms
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Two-Dimensional Histogram Analysis for Segmentation (H2)
Two Dimensional Points
* 2-D Points with 2-D Structures, Point Matching (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)