Keywords h

H.263 Section: H.263 Standard and Systems (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

H.264 Hardware Section: H.264 Coding, Decoding: Hardware and Systems (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

H.264 Section: AVC/H.264 Mode Selection, Mode Decision (H4)
Section: H.264/AVC Issues, Advanced Video Coding (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Intra-Coding, Intra-Prediction Issues, AVC/H.264 (H4)
Section: Rate-Quality, Rate Distortion, Rate Control, Error Tradeoffs for AVC/H.264 (H4)
Section: Scalable Video Coding, SVC, Extensions AVC/H.264 (H4)

Haar Transform Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Transforms, Radon, Haar, Hadamard, etc. (H2)

Habitat Section: Environmental Quality, Ecological Quality (H4)
Section: Habitat Analysis (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Hadamard Transform Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Transforms, Radon, Haar, Hadamard, etc. (H2)

Hair Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hair Features (H4)

Halftone Section: Half Tone, Generation and Analysis, Printing, Allebach Group Papers (H4)
Section: Half Tone, Generation and Analysis, Printing (H3)
Section: Halftone Images, Compressed Images: Image Hiding, Data Hiding, Steganography (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Inverse Half Tone (H4)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Watermarks in Halftone Images (H2)
7 for Halftone

Hallucination, Faces Section: Face Hallucination for Recognition Using Three-Dimensional Models (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Hand-Eye Systems Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Hand-Eye Coordination (H2)

Hand Display Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Reconstruction, Hand Synthesis, Hand Generation, Hand Animation (H4)

Hand Gestures Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Recognition Techniques (H2)
Section: Gesture, Overviews, Surveys, Evaluations (H3)
Section: Hand Gesture Systems, Gesture Recognition (H3)
Section: Multi-Modal Gesture Recognition, Multimodal Recognition (H4)
Section: Pointing Gestures, Pointing Systems (H3)

Hand Held Section: Hand-Held Camera Reconstruction, Phone Based Reconstruction, Shape from Motion (H2)
Section: Image Shake, Video Shake, Phone (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Hand Model Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Reconstruction, Hand Synthesis, Hand Generation, Hand Animation (H4)

Hand Object Interactions Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Systems, Surfaces, Desks, Tables, Objects (H4)

Hand Pose Section: Depth Based, Stereo, Hand Pose, Hand Posture, Hand Shape (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Pose, Hand Posture, Hand Shape (H4)

Hand Posture Section: Depth Based, Stereo, Hand Pose, Hand Posture, Hand Shape (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Pose, Hand Posture, Hand Shape (H4)

Hand Rendering Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Reconstruction, Hand Synthesis, Hand Generation, Hand Animation (H4)

Hand Shape Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Pose, Hand Posture, Hand Shape (H4)

Hand Synthesis Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Reconstruction, Hand Synthesis, Hand Generation, Hand Animation (H4)

Hand Tracking Section: Egocentric, Wearable Camera Hand Tracking (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Hand Tracking for Gestures (H3)

Hand Vein Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Vein Structure in Hands, Recognition, Systems (H2)

Handprinted Character Recognition Section: OCR, Document Analysis and Character Recognition Systems (H)
* Handprinted Character-Recognition Based on Spatial Topology Distance Measurement

Handwriting Database Section: OCR, Document Analysis and Character Recognition Systems (H)
* Database for Handwritten Text Recognition Research, A

Handwriting Section: Air Writing, Devisce Free Handwriting (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Handwritten Characters, Cursive Script, Surveys, Data, Comparisons, Evaluations (H4)
Section: Handwritten Characters, Feature Extraction (H4)
Section: Handwritten Characters, Roman, Latin Alphabet (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Online Recognition of Handwritten Characters (H4)
* ICDAR 2013 Competition on Gender Prediction from Handwriting
8 for Handwriting

Handwriting, Survey Section: OCR, Document Analysis and Character Recognition Systems (H)
* On-Line Handwriting Recognition: A Survey

Handwritten Characters Section: Chinese Characters, Japanese Characters, Handwritten (H3)
Section: Handwritten Characters, Roman, Latin Alphabet (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: 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

Handwritten Digits Section: Arabic Numbers, Digits, Handwritten, Numeral Recognition (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Hangul Section: Character Recognition Systems -- Korean Characters, Hangul (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Haptic Analysis Section: Haptic Systems, Haptic Displays, Haptic Analysis, Tactile Sensing (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Hardware Section: Architectures and Systems for Matching for Block Coding, Block Motion Estimation (H4)
Section: H.264 Coding, Decoding: Hardware and Systems (H3)
Section: Hardware and Architecture for Coding (H2)
Section: Hardware and Systems for Transcoding, Conversions (H3)
Section: HEVC Coding, Decoding: Hardware and Systems (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementation, Algorithms and Design of Filters (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Motion and Video Coding: Hardware and Systems (H2)
Section: MPEG Hardware and Implementations (H3)
Section: OCR Systems, General (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Optical Flow Field Computations and Use (H)
Section: Real-Time Computation, Real-Time Implementation, Hardware for Optical Flow (H1)
Section: Real-Time Motion Segmentation, Hardware for Motion Detection (H3)
Section: Real-Time Systems, Architecture, Hardware Issues for Vision (H1)
Section: Single Chip, Chipset for Coding (H3)
Section: Systems and Architectures for Image Processing (H2)
Section: Target Tracking Systems, Real-Time Issues (H3)
21 for Hardware

Hardware, Displays Section: Image Displays, Display Systems (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Hardware, Fingerprint Verification Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Real-Time Fingerprint Verification System

Hardware, Stereo * *PrimeSense
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Stereo: Real Time Systems, Hardware Implementations (H1)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Harmonization Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Video Harmonizing, Image Harmonizing (H4)

Hashing Section: 2-D Contour Matching, Indexing or Hashing Techniques (H3)
Section: Deep Hashing for Large Scale Systems (H4)
Section: Hashing for Large Scale Systems, Web-Scale System (H4)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Three-Dimensional Matching Using Hashing/Indexing (H2)
7 for Hashing

Hausdorff Distance Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Efficient algorithms for robust feature matching
* Linear Time Algorithm for the Hausdorff Distance Between Convex Polygons, A

Haze Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Haze, Dehazing, Color Correction (H3)
Section: Single Image Dehazing (H4)

HCI Definition:* Human Computer Interaction.
Section: Brain-Computer Interface, Brain-Machine Interface, Biomimetic (H3)
Section: Face Expression Recognition for Human Comupter Interaction (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Recognition Systems with Static Imaage, Single Image (H4)
Section: Gesture Recognition Systems, Applications, Human Computer Interaction Systems (H3)
Section: Gesture Systems, Game Controls, Game Interactions (H4)
Section: Gesture Systems, Surfaces, Desks, Tables, Objects (H4)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Micro Expressions, Subtle Expressions, Face Expression Recognition (H4)
10 for HCI

HDR Section: HDR, High Dynamic Range, Enhanced Dynamic Range from Multiple Images (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

HDTV Section: HDTV Issues, Coding, Transmission (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Head Alignment Section: Face Alignment, Registration, Recognition (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Head Gesture Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Head Gesture, Face Gestures, Nods, etc. (H2)

Head Mounted Display Section: Head-Up Display, Head Mounted Displays, Helment Mounted Displays (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Head Pose Section: 3-D Model Based Head Motion, Head Tracking, 3D Data Head Pose (H2)
Section: Face Pose, Head Pose from Stereo, Multi-View, Depth, or Range Data (H3)
Section: Face Pose, Head Pose (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Head Tracking Section: 3-D Model Based Head Motion, Head Tracking, 3D Data Head Pose (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Head Motion, Head Tracking, Tracking Faces in Video (H1)
* probabilistic Framework for Rigid and Non-rigid Appearance Based Tracking and Recognition, A

Heading Section: Limited Ego Motion Recovery, Direction or Heading (H3)
Section: Optical Flow Field Computations and Use (H)

Health Section: GIS: for COVID Specific Tracking, Spread, Analysis (H3)
Section: GIS: Using GIS for Medical Applications, Health Care, Disease Tracking (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Heart Beat Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Photoplethysmography, Heart Rate, Pulse Rate Analysis, Vital Signs, Non-Contact Methods (H3)

Heart Rate Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Photoplethysmography, Heart Rate, Pulse Rate Analysis, Vital Signs, Non-Contact Methods (H3)

Heart Valve Section: Medical Applications -- Heart Valve Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Heart Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Angiography using MRI (H2)
Section: Deformable Models, Cardiac Motion Models for Volumes, Left Ventricle (H3)
Section: Heart, Cardiac Analysis using MRI Analysis, Cardiac MRI (H2)
Section: Heart, Cardiac, Angiography using CAT, CT, Tomography (H2)
Section: Heart, Cardiac, Echocardiography, Ultrasound (H2)
Section: Medical Applications -- Heart, Cardiac Applications (H1)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Tracking Applied to Heart Images (H3)
Section: Ventricle Segmentation, Left Ventricle, using MRI (H2)
11 for Heart

Heat Flux Section: Heat Flux (H4)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Heat Islands Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Urban Heat Islands, Remote Sensing (H4)

Heavy Metals Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Soil Heavy Metal Contamination (H2)

Hebrew Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Other Character Sets (H2)

Height Section: Canopy Height Measurement (H4)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Slope, Shape and Depth from Radar and SAR (H2)
Section: Tree Height Measurement (H4)

HEIV Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* General Method for Errors-in-Variables Problems in Computer Vision, A

Helical Tomography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction (H2)

Helicopter Data Section: 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

Helment Mounted Display Section: Head-Up Display, Head Mounted Displays, Helment Mounted Displays (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

HEp-2 Section: HEp-2 Cell Analysis, Human Epithelial Type 2 Cells (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Heritage Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Archeological Sites, Modeling, Analysis, Tools (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Cultural Heritage Sites, Modeling, Analysis, Large Scale Models (H2)
Section: Cultural Heritage Sites, Modeling, Specific Models: Europe (H3)
Section: Ground Penetrating Radar for Archeological Sites (H3)
Section: Specific 3-D Models, Cultural Items, Applied 3-D Descriptions (H2)
Section: Specific 3-D Models, Paintings, Murals, Frescoes (H2)
Section: Specific 3-D Models, Rock Art, Petroglyphs, Rock Structures, Caves (H2)
9 for Heritage

Heuristic Search Section: OCR, Document Analysis and Character Recognition Systems (H)
* Document Image Decoding by Heuristic Search

HEVC Hardware Section: HEVC Coding, Decoding: Hardware and Systems (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

HEVC Intra Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Intra Coding High Efficiency Video Coding, HEVC Intra Coding (H4)

HEVC Section: High Efficiency Video Coding, 3D, Depth Coding (H4)
Section: High Efficiency Video Coding, HEVC Coding Standards (H4)
Section: High Efficiency Video Coding, HEVC Rate Control Issues, Bit Allocation (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Intra Coding High Efficiency Video Coding, HEVC Intra Coding (H4)

HEVC, 3-D Section: High Efficiency Video Coding, 3D, Depth Coding (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Hexagonal Grid Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Distance on a Hexagonal Grid

Hexagonal Representation Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Feature Extraction by Golay Hexagonal Pattern Transforms
* Hexagonal Parallel Pattern Transformations

Hexagonal Sampling Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fingerprint Classification Using a Hexagonal Fast Fourier-Transform

Hexagonal Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Triangular, Hexagonal Grids, Geometry, Computations (H3)

Hidden Markov Models Section: Hidden Markov Models, General Problems, Computation, Use (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Hierarchical Analysis Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Deformable Kernels for Early Vision

Hierarchical Classification Section: Iterative, Hierarchical Clustering Techniques (H2)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Hierarchical Coding Section: Hierarchical, Multi-Level, Pyramidal Coding Techniques (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Set Partitioning in Hierarchical Trees (SPIHT) Coding (H3)

Hierarchical Matching Section: Hierarchical/Scale-Space Contour Matching and Descriptions (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Image Registration Experiments

Hierarchical Registration Section: Image Registration, Hierarchical Techniques, Pyramids, Multi-resolution, Recursive (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Hierarchical Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Multi-level, Multi-Scale Segmentation and Smoothing Methods (H2)

Hierarchical Texture Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Hierarchical, Multi-Scale Texture Representations and Analysis (H2)

Hierarchical Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Multi-Scale Matching for Stereo (H3)
Section: Multi-Scale, Pyramid Texture Segmentation Approaches (H2)
Section: Optical Flow -- Hierarchical, Pyramid, Multi-Grid, Multi-Scale Approaches (H2)
Section: Optical Flow Field Computations and Use (H)
Section: Pyramid Representations (H2)
Section: Quadtree Representations (H2)
Section: Stereo Systems: Multiple Resolutions, Hierarchical (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
10 for Hierarchical

High Dynamic Range Section: HDR, High Dynamic Range, Enhanced Dynamic Range from Multiple Images (H3)
Section: High Dynamic Range Ghosting, DeGhosting (H4)
Section: Hyperspectral, Spectral Reconstruction from RGB (H4)
Section: Learning for High Dynamic Range Generation (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

High Level Vision Section: Knowledge-Based Vision (H1)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Experiments on the Use of the ATMS to Lagel Features for Object Recognition

High Resolution Section: Building Extraction, High Resolution, Multi-View Images (H2)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Land Cover, Land Use, Very High Resolution, High Spatial Resolution (H2)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)
Section: Road Extraction Systems for High Resolution Data (H2)
Section: Very High Resolution Land Cover Change Analysis (H3)

Highlights Section: Human Activities, Sports, Summaries, Highlights (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Highly Squinted Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Highly Squinted Radar, Highly Squinted SAR (H3)

Hilbert Scan Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Hilbert Scan, Image Scan Order, for Compression and Representation (H2)

Hindi Section: Devanagari, Indic, Hindi, Hindu, Bangla, Bengali, Telugu, Characters (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Histogram Analysis Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Histogram Analysis for Threshold Selection and Segmentation (H2)

Histogram Comparison Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Histogram Matching, Histogram Comparisons (H3)

Histogram Equalization Section: Histogram Equalization, Image Enhancement, Contrast Enhancement (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Histogram Matching Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Histogram Matching, Histogram Comparisons (H3)

Histogram of Oriented Gradient Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: HOG Analysis, Histogram of Oriented Gradient (H3)

Histogram Section: Accumulation Methods, Motion Histograms for Human Action Recognition (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Histograms, Multi-Dimensional Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Scene Segmentation by Cluster Detection in Color Space

Histopathology Section: Breast Cancer Cell Analysis, Pathology, Nuclei Detection (H3)
Section: Histopathology, Tissue Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Whole Slide Analysis, Histopahtology, Cells (H4)

Historical Documents Section: Historical Document Analysis, Ancient Documents (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

HIV Section: HIV, HIV/AIDS Cell Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

HMI Definition:* Hierarchical Mutual Information.

HMM Section: Hidden Markov Models, General Problems, Computation, Use (H3)
Section: Hidden Markov Models, HMM (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)

HOG Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: HOG Analysis, Histogram of Oriented Gradient (H3)
Section: HoG, Gradients, Histogram of Gradients for Human Detection, People Detection, Pedestrians (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

HOI Section: Human Activities, Interacting with Objects (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Holograms Section: Holographic Displays, Holograms, Three Dimensional Visualization (H2)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)

Home Care Section: Human Safety, Drowning, Underwater, Home Care, Smart Home (H4)
Section: Human Safety, Falling, Fall Detection, Home Care, Smart Home (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Homography Estimation Section: Homography Estimation (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Hopfield Networks Section: Graph Matching, Neural Networks, Hopfield Networks (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: 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 Section: 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 Forests Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hough Forests for Feature Extraction (H2)

Hough Transform Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hough Transform -- Circle Features (H2)
Section: Hough Transform -- General Features (H2)
Section: Hough Transform -- Line Extraction (H2)
Section: Hough Transform -- Use and Theory (H1)
Section: Hough, Voting, Accumulation Methods for Moving Object Extraction (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Multi-Resolution and Parallel Hough Transform (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computing Horizontal/Vertical Convex Shapes Moments on Reconfigurable Meshes
* Continuous plane detection in point-cloud data based on 3D Hough Transform
* 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
* survey of Hough Transform, A
* Trinocular Stereovision by Generalized Hough Transform
* Use Neural Networks to Determine Matching Order for Recognizing Overlapping Objects
29 for Hough Transform

Hough Section: 3-D/3-D Matching Accumulation Techniques (H3)
Section: Clustering and Accumulation Array Techniques (H3)
Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hough Forests for Feature Extraction (H2)
Section: Hough Transform -- Use and Theory (H1)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Matching Using Accumulation and Alignment Schemes (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Optical Flow Field Computations and Use (H)
Section: Pose Estimation, 3D Models (H3)
Section: Range Data Matching -- Accumulation Methods (H3)
Section: Region/Contour Matching, Accumulation Based (H3)
Section: 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
40 for Hough

Hough, Curves Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hough Transform -- Circle Features (H2)

Hough, Evaluation Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Geometric Constructions for Predicting Hough Transform Performance

Hough, General Shapes Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hough Transform -- General Features (H2)

Hough, Lines Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Hough Transform -- Line Extraction (H2)

Hough, Motion Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: 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
Section: 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 Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Multi-Resolution and Parallel Hough Transform (H2)

Hough, Parallel Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Multi-Resolution and Parallel Hough Transform (H2)
* Product Label Inspection Using Transputers

Hough, Survey Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Survey of the Hough Transform, A

Huffman Section: Huffman Coding (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Human-Machine Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Rehabilitation Systems, Prosthesis Systems, Control (H4)

Human-Object Section: Human Activities, Interacting with Objects (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Human Actions Section: Action Segmentation (H4)
Section: Convolutional Neural Networks for Human Action Recognition and Detection (H4)
Section: Deep Networks, Deep Learning for Human Action Recognition (H4)
Section: Egocentric Human Action Recognition, First Person, Wearable Monitoring (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Action Detection, Human Action Recognition (H3)
Section: Human Action Recognition and Detection Using Human Pose (H4)
Section: Human Action Recognition and Detection, Surveys, Evaluation, General (H4)
Section: Human Action Recognition in Still Images, Single Images (H4)
Section: Human Action Recognition, Indoor Environments, Classroom, Smart Room (H4)
Section: Human Action Recognition, Neural Nets for Skeletal Representations (H4)
Section: Human Action Recognition, Office, Meetings (H4)
Section: Human Action Recognition, Skeletal Representations (H4)
Section: Human Action Recognition, Sparse Techniques, Low-Rank, SVM (H4)
Section: Incremental Learning for Human Action Recognition (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Motion Flow, Motion Vectors for Human Action Recognition and Detection (H4)
Section: Neural Networks and Learning for Human Action Recognition and Detection (H4)
Section: Spatio-Temporal Techniques for Human Action Recognition and Detection (H4)
Section: Viewpoint invariant, View Invariant, Human Action Detection, Human Action Recognition (H4)
* Efficient Human Pose Estimation from Single Depth Images
21 for Human Actions

Human Activity Section: Human Activities, Violence, Violent Actions (H4)
Section: Models, Inference, Learning Human Activities, Human Behavior (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Human Behavior Section: Models, Inference, Learning Human Activities, Human Behavior (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Human Detection Section: Counting People, Transportation System Monitoring, Queues (H4)
Section: HoG, Gradients, Histogram of Gradients for Human Detection, People Detection, Pedestrians (H4)
Section: Human Detection, People Detection, Pedestrians, Locating (H3)
Section: Human Detection, People Detection, Pedestrians, Using Body Parts, Body Shape (H4)
Section: Human Detection, People Detection, Pedestrians, Using Depth, Stereo (H4)
Section: Human Detection, Tracking, Infrared, IR, Thermal Images (H4)
Section: Learning, Neural Nets for Human Detection, People Detection, Pedestrians (H4)
Section: Local Features, LBP, Patterns, for Pedestrian Detection, People Detection (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Motion Based Human Detection, Spatio-Temporal Analysis, Pedestrians (H4)
Section: Surveys, Evaluation, Datasets, Human Detection, People Detection, Pedestrians (H4)
11 for Human Detection

Human Interactions Section: Human Activities, Groups, Several People (H4)
Section: Human Activities, Interactions between People (H3)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Social Interactions, Human Activities, Social Grouping (H4)

Human Mesh Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Mesh Descriptions (H3)

Human Models Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Models, 3-D Human Modeling (H4)

Human Motion Section: Action Segmentation (H4)
Section: Egocentric Human Action Recognition, First Person, Wearable Monitoring (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Action Detection, Human Action Recognition (H3)
Section: Human Action Recognition and Detection Using Human Pose (H4)
Section: Human Action Recognition, Indoor Environments, Classroom, Smart Room (H4)
Section: Human Action Recognition, Office, Meetings (H4)
Section: Human Activities, Interactions between People (H3)
Section: Human Activities, Sports, Planned Activities (H4)
Section: Human Motion Capture, Dance Activities (H4)
Section: Human Motion Capture, Joint Information, Special Activities (H4)
Section: Human Motion Generation, Human Motion Synthesis (H4)
Section: Models, Inference, Learning Human Activities, Human Behavior (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Neural Networks and Learning for Human Action Recognition and Detection (H4)
Section: Performance Capture, Capture for Animation (H4)
Section: Tracking People, Human Tracking, Pedestrian Tracking (H3)
Section: Viewpoint invariant, View Invariant, Human Action Detection, Human Action Recognition (H4)
* W4: Real-Time Surveillance of People and Their Activities
19 for Human Motion

Human Parsing Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Body Parsing, Body Parts (H3)

Human Perception Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Human Perception, Human Visual System -- General (H2)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Model of Human Visual-Motion Sensing

Human Pose Section: Animation and Reconstruction of Human Model from Posture, or Pose (H3)
Section: Articulated Human Pose Desicriptions (H3)
Section: Clothing Styles, Fashion Related (H3)
Section: Clothing Try-On Systems (H4)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Action Recognition and Detection Using Human Pose (H4)
Section: Human Pose from Depth, 3-D Data, Stereo, Multi-View Data (H3)
Section: Human Pose from Silhouettes (H3)
Section: Human Pose Tracking, Posture Tracking, Posture from Video, Pose from Motion (H3)
Section: Human Posture and Shape, Clothing Related (H3)
Section: Human Posture, or Human Pose, Human Body Pose (H2)
Section: Human Posture, or Human Pose, Learning, Neural Networks (H3)
Section: Human Posture, Upper Body Posture, Arms (H3)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Multi-Person Human Pose Desicriptions (H3)
* Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures
16 for Human Pose

Human Posture Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Posture, or Human Pose, Human Body Pose (H2)
Section: Human Posture, or Human Pose, Learning, Neural Networks (H3)

Human Recognition Section: Human ID Using Gait, Recognition of People Through Gait (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Human Robot Interaction Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Systems, Robot Interaction, Human-Robot Interaction, Human-Device Interaction (H4)

Human Safety Section: Human Safety, Drowning, Underwater, Home Care, Smart Home (H4)
Section: Human Safety, Falling, Fall Detection, Home Care, Smart Home (H4)
Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)

Human Segmentation Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Body Segmentation, Posture, Pose Related (H3)

Human Shape Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Body Shape (H3)
Section: Human Mesh Descriptions (H3)

Human Texture Recognition Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Review, Comparison, Evaluation of Texture Analysis Techniques (H1)

Human Tracking Section: Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities (H)
Section: Tracking People, Human Tracking, Pedestrian Tracking (H3)

Human Vision Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Color Constancy, Retinex (H2)
Section: Color Models, Color Representation (H2)
Section: Color, General Issues (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Grouping, Figure-Ground, Background, Foreground (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Optical Flow Field Computation -- General Issues (H1)
Section: Optical Flow Field Computations and Use (H)
Section: Perceptual Grouping, Saliency, General Systems (H2)
Section: Perceptual Grouping, Saliency, Theory (H2)
Section: Psychology and Psychophysics, Human Vision for Motion (H1)
* Psychophysical Experiments for Evaluating a Selected Image Clutter Measures
* Some Insights Into Brightness Perception of Images in the Light of a New Computational Model of Figure-Ground Segregation
14 for Human Vision

Human Vision, Survey Section: Books, Collections, Overviews, General, and Surveys (H)
* Human and Machine Vision Special Issue

Human Visual System Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Human Perception, Human Visual System -- General (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Human Visual System Based, HVS (H3)

Humidity Section: Relative Humidity Measurements, Atmosphere (H3)
Section: Remote Sensing General Issue, Land Use, Land Cover (H)

Hurricane Section: Cyclones, Hurricanes, Typhoons, Radar, Cloud analysis (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Hybrid Enhancement Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Models and Algorithms for a Real-Time Hybrid Image-Enhancement Methodology

Hydrological Analysis Section: Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR (H)
Section: Hydrological Analysis, Hydrological Modeling (H3)
Section: River Discharge Measurement, River Flow, Streamflow (H4)

Hyperquadrics Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Hyperquadrics: Smoothly Deformable Shapes with Convex Polyhedral Bounds

Hyperspectral Images Section: Change Detection for Hyperspectral Images (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Hyperspectral Reconstruction Section: Hyperspectral, Spectral Reconstruction from RGB (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Hyperspectral Super Resolution Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Super Resolution for Hyperspectral Data (H3)

Hyperspectral Section: Color Image Quality, Hyperspectral Image Quality (H3)
Section: Fusion of Hyperspectral Images (H4)
Section: High Dimensional Data, Hyperspectral Data, Hyper-Spectral Data Classification (H3)
Section: Hyperspectral Data Anomaly Detection, Hyper-Spectral Anomaly (H4)
Section: Hyperspectral Data Band Selection (H4)
Section: Hyperspectral Data, Dimensionality Reduction (H4)
Section: Hyperspectral Data, Endmember Extraction (H4)
Section: Hyperspectral Data, Neural Networks for Classification (H4)
Section: Hyperspectral Images Restoration, Denoising (H3)
Section: Hyperspectral Mixture Models, Mixed Pixels (H3)
Section: Hyperspectral Target Detection (H4)
Section: Hyperspectral Unmixing (H4)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Semi-Supervised Clustering Applied to Hyperspectral Data (H3)
Section: Spectral-Spatial Classification, Spatial-Spectral, Hyperspectral Data (H4)
Section: Super Resolution for Hyperspectral Data (H3)
* 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
23 for Hyperspectral

Hypothesize and Verify Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Towards a Vision Algorithm Compiler for Recognition of Partially Occluded 3-D Objects

Index for "i"


Last update:16-Mar-24 20:56:33
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