H.263
* H.263 Standard and Systems (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Halftone
* Half Tone, Generation and Analysis, Printing (H3)
* Halftone Images, Compressed Images: Image Hiding, Data Hiding, Steganography (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Inverse Half Tone (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
Hand-Eye Systems
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Hand-Eye Coordination (H2)
Handprinted Character Recognition
* OCR, Document Analysis and Character Recognition Systems (H)
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement
Handwriting Database
* OCR, Document Analysis and Character Recognition Systems (H)
* Database for Handwritten Text Recognition Research, A
Handwriting
* Handwritten Characters, Cursive Script, Surveys, Data, Comparisons (H4)
* Handwritten Characters, Feature Extraction (H4)
* Handwritten Characters (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
* Online Recognition of Handwritten Characters (H4)
Handwriting, Survey
* OCR, Document Analysis and Character Recognition Systems (H)
* On-Line Handwriting Recognition: A Survey
Handwritten Characters
* Chinese Characters, Handwritten (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition
* Online Chinese Character-Recognition with Effective Candidate Radical and Candidate Character Selections
Hardware
* Hardware and Architecture for Coding (H2)
* Hardware and Systems for Transcoding, Conversions (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Implementation, Algorithms and Design of Filters (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Motion and Video Coding: Hardware and Systems (H2)
* OCR Systems, General (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
* Optical Flow Field Computations and Use (H)
* Real-Time Computation, Hardware for Optical Flow (H1)
* Real-Time Systems, Architecture, Hardware Issues for Vision (H1)
* Single Chip, Chipset for Coding (H3)
* Systems and Architectures for Image Processing (H2)
13 for Hardware
Hardware, Displays
* Image Displays (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Hardware, Fingerprint Verification
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-Time Fingerprint Verification System
Hardware, Stereo
* Stereo: Real Time Systems (H1)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Hashing
* 2-D Contour Matching, Indexing or Hashing Techniques (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Three-Dimensional Matching Using Hashing/Indexing (H2)
Hausdorff Distance
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Efficient algorithms for robust feature matching
Hausdorff
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Linear Time Algorithm for the Hausdorff Distance Between Convex Polygons, A
HCI
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Gesture Recognition Systems, Applications (H3)
HDTV
* HDTV Issues, Coding, Transmission (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Head Tracking
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* probabilistic Framework for Rigid and Non-rigid Appearance Based Tracking and Recognition, A
Heading
* Limited Ego Motion Recovery, Direction or Heading (H3)
* Optical Flow Field Computations and Use (H)
Heart
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Heart, Cardiac, Angiography using MRI Analysis (H2)
* Heart, Cardiac, Echocardiography (H2)
* Medical Applications -- Heart, Cardiac Applications (H1)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Tracking Applied to Heart Images (H3)
Helicopter Data
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Accurate Estimation of Object Location in an Image Sequence Using Helicopter Flight Data
Heuristic Search
* OCR, Document Analysis and Character Recognition Systems (H)
* Document Image Decoding by Heuristic Search
Hexagonal Grid
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Distance on a Hexagonal Grid
Hexagonal Representation
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Feature Extraction by Golay Hexagonal Pattern Transforms
* Hexagonal Parallel Pattern Transformations
Hexagonal Sampling
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fingerprint Classification Using a Hexagonal Fast Fourier-Transform
Hexagonal
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Triangular, Hexagonal Grids, Geometry, Computations (H3)
Hierarchical Analysis
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Deformable Kernels for Early Vision
Hierarchical Coding
* Hierarchical, Multi-Level, Pyramidal Coding Techniques (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Set Partitioning in Hierarchical Trees (SPIHT) Coding (H
Hierarchical Matching
* Hierarchical/Scale-Space Contour Matching and Descriptions (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Image Registration Experiments
Hierarchical
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Hierarchical, Multi-Scale Texture Representations and Analysis (H2)
High Level Vision
* Knowledge-Based Vision (H1)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Experiments on the Use of the ATMS to Lagel Features for Object Recognition
Hilbert Scan
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Hilbert Scan for Compression and Representation (H2)
Histogram Analysis
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Histogram Analysis for Threshold Selection and Segmentation (H2)
Histograms, Multi-Dimensional
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Scene Segmentation by Cluster Detection in Color Space
Hopfield Networks
* Graph Matching, Neural Networks, Hopfield Networks (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Object Recognition Based on Graph Matching Implemented by a Hopfield-Style Neural Network
* Pattern-Recognition by Graph Matching Using the Potts MFT Neural Networks
* Robust Boundary-Based Object Recognition in Occlusion Environment by Hybrid Hopfield Neural Networks, A
Horizon Vision
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Feature Matching in 360^o Waveforms for Robot Navigation
* Image-Based Navigation Using 360^o Views
* Real-Time Generation of Environmental Map and Obstacle Avoidance Using Omnidirectional Image Sensor with Conic Mirror
Hough Transform
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computing Horizontal/Vertical Convex Shapes Moments on Reconfigurable Meshes
* Contribution to the Determination of Vanishing Points Using Hough Transform
* Detecting Subjective Contours with the Hierarchical Hough Transform
* Fresh Look At the Hough Transform, A
* Hierarchical Line Extraction
* Local Approach To Recovering Global Skewed Symmetry, A
* Localized Radon Transform-Based Detection of Linear Features in Noisy Images
* On Curve Approximation And Hierarchical Hough Transform
* Randomized Polygon Search for Planar Motion Detection
* Robust and Fast Skew Detection Algorithm for Generic Documents, A
* Trinocular Stereovision by Generalized Hough Transform
* Use Neural Networks to Determine Matching Order for Recognizing Overlapping Objects
21 for Hough Transform
Hough
* 3-D/3-D Matching Accumulation Techniques (H3)
* Clustering and Accumulation Array Techniques (H3)
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Hough Transform -- Use and Theory (H1)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Matching Using Accumulation and Alignment Schemes (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Optical Flow Field Computations and Use (H)
* Pose Estimation, 3D Models (H3)
* Range Data Matching -- Accumulation Methods (H3)
* Region/Contour Matching, Accumulation Based (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Analysis and Performance of Two Middle-Level Vision Tasks on a Fine-Grained SIMD Tree Machine, The
* Analyzing Orthographic Projection of Multiple 3-D Velocity Vector Fields in Optical Flow
* Application of the Generalized Hough Transform to Corner Detection
* Complete and Extendable Approach to Visual Recognition, A
* Determination of Three Dimensional Object Location and Orientation from Range Data
* Gauge Inspection Using Hough Transforms
* Hierarchical Approach to Line Extraction, A
* Hough Transform Algorithms for Mesh-Connected SIMD Parallel Processors
* Machine Vision Techniques for Finding Sugarcane Seedeyes
* Method and Means for Recognizing Complex Patterns
* Monolithic Hough Transform Processor Based on Restructurable VLSI, A
* New Methods for Matching 3-D Objects with Single Perspective Views
* On Shapes
* On the Recognition of Articulated objects (Generalizing the Generalized Hough Transform)
* On the Recognition of Curved Objects
* On the Sensitivity of the Hough Transform for Object Recognition
* Parallel Algorithms for Computer Vision on the Connection Machine
* Real-Time Processor for the Hough Transform, A
* Recovering Motion Parameters in Scenes Containing Multiple Moving Objects
* Rigid Body Motion from Depth and Optic Flow
* Rule-Based System for Document Image Segmentation, A
* Survey of the Hough Transform, A
* Triangle-Based Pose Determination of 3-D Objects
* Two-Dimensional Object Recognition Using Multiresolution Models
* Velocity Determination in Scenes Containing Several Moving Objects
39 for Hough
Hough, Curves
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Hough Transform -- Circle Features (H2)
Hough, Evaluation
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Geometric Constructions for Predicting Hough Transform Performance
Hough, General Shapes
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Hough Transform -- General Features (H2)
Hough, Lines
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Hough Transform -- Line Extraction (H2)
Hough, Motion
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Detection of Unresolved Targets Using the Hough Transform, The
* Estimation of Complex Multimodal Motion: An Approach Based on Robust Statistics and Hough Transform
* Objects Velocity Estimation on Images Sequences by Hough Transform with Projection (HTP)
* Randomized Hough Transform Applied to Translational and Rotational Motion Analysis
Hough, Multi-Resolution
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Multi-Resolution and Parallel Hough Transform (H2)
Hough, Parallel
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Multi-Resolution and Parallel Hough Transform (H2)
* Product Label Inspection Using Transputers
Hough, Survey
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Survey of the Hough Transform, A
Huffman
* Huffman Coding (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Human Actions
* Detecting Human Actions, Human Activities, Human Behavior (H3)
* Inference, Learning Human Actions, Human Activities, Human Behavior (H4)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Human Detection
* Counting People, Transportation System Monitoring, Crosswalks (H4)
* Human Detection, People Detection, Pedestrians, Locating (H3)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Human Motion
* Detecting Human Actions, Human Activities, Human Behavior (H3)
* Human Activities, Interactions, Groups (H3)
* Human Activities, Sports, Planned Activities (H4)
* Human Motion Capture, Joint Information, Dance, Special Activities (H4)
* Inference, Learning Human Actions, Human Activities, Human Behavior (H4)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Tracking People, Human Tracking (H3)
* W4: Real-Time Surveillance of People and Their Activities
8 for Human Motion
Human Perception
* Books, Collections, Overviews, General, and Surveys (H)
* Human Perception, Human Visual System -- General (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Model of Human Visual-Motion Sensing
Human Pose
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Human Posture, or Human Pose, Human Body Pose (H2)
Human Recognition
* Human ID Using Gait, Recognition of People Through Gait (H4)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Human Texture Recognition
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Review, Comparison, Evaluation of Texture Analysis Techniques (H1)
Human Vision
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Color Constancy, Retinex (H2)
* Color Models, Color Representation (H2)
* Color, General Issues (H2)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Grouping, Figure-Ground, Background, Foreground (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Optical Flow Field Computation -- General Issues (H1)
* Optical Flow Field Computations and Use (H)
* Perceptual Grouping, General Systems (H2)
* Perceptual Grouping, Theory (H2)
* Psychology and Psychophysics (H1)
* Psychophysical Experiments for Evaluating a Selected Image Clutter Measures
13 for Human Vision
Human Vision, Survey
* Books, Collections, Overviews, General, and Surveys (H)
* Human and Machine Vision Special Issue
Hybrid Enhancement
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Models and Algorithms for a Real-Time Hybrid Image-Enhancement Methodology
Hyperquadrics
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Hyperquadrics: Smoothly Deformable Shapes with Convex Polyhedral Bounds
Hyperspectral
* High Dimensional Data, Hyperspectral Data, Hyper-Spectral Data Classification (H3)
* Hyperspectral Data Anomaly Detection, Hyper-Spectral Anomaly (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Analyzing High Dimensional Multispectral Data
* Classification of Remote Sensing Images Having High Spectral Resolution
* Hyperspectral Image Compression Using Entropy-Constrained Predictive Trellis-Coded Quantization
* Supervised Classification in High-Dimensional Space: Geometrical, Statistical, and Asymptotical Properties of Multivariate Data
8 for Hyperspectral
Hypothesize and Verify
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Towards a Vision Algorithm Compiler for Recognition of Partially Occluded 3-D Objects