IAFC
[Provide a short definition]
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image-Adaptive Vector Quantization in an Entropy-Constrained Framework
ICA
Definition:* Independent Component Analysis.
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* ICA, PCA in Face Recognition (H4)
* Invariants -- ICA, Independent Component Analysis (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Natural Image statistics and neural representation
ICP
Definition:* Iterative Closese Point.
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Closest Point Algorithms, ICP, Iterative Closest Point (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Method for Registration of 3-D Shapes, A
* Stereo-Based Head Pose Tracking Using Iterative Closest Point and Normal Flow Constraint
7 for ICP
Identification
[Provide a short definition]
* OCR, Document Analysis and Character Recognition Systems (H)
* Recognition of the Person from Writing, Identification, Authorship, Writer Identification (H4)
Illuminant Direction
[Provide a short definition]
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Direct Solution of Orientation-from-Color Problem Using a Modification of Pentland's Light-Source Direction Estimator
Illumination
[Provide a short definition]
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Light Source Direction Computations, Illumination Information, Illuminant (H3)
Illusory Contours
[Provide a short definition]
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Analytic Solution of Stochastic Completion Fields
Image Analysis Environments
[Provide a short definition]
* General Purpose Image Analysis Systems (H1)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Image Analysis, Survey
* Books, Collections, Overviews, General, and Surveys (H)
* Critical Survey of Image Analysis Methods, A
Image Based Rendering
[Provide a short definition]
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Depth and Range for View Synthesis, Image Based Rendering, IBR (H3)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Virtual View Generation, View Synthesis, Image Based Rendering, IBR, Morphing (H2)
* Match Propagation for Image-Based Modeling and Rendering
* Virtualized Reality: Constructing Virtual Worlds From Real Scenes
Image Coding
[Provide a short definition]
* Image Compression or Coding, Surveys, Evaluations and Overviews (H3)
* Image Compression, Coding (H1)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Wyner-Ziv Video Coding (H2)
Image Compression
[Provide a short definition]
* *IEEE Trans. Circuits and Systems for Video Technology
* *IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Adaptive Coding Techniques (H2)
* Audio and Video Coding Standard, AVS Coding Issues, Standards (H3)
* AVC/H.264 Mode Selection (H4)
* Cosine Transform, DCT Compression (H2)
* Differential Pulse Code Modulation (DPCM) Coding (H
* General Rate-Distortion Tradeoff Issues, Single Images (H3)
* H.264/AVC Issues, Advanced Video Coding (H3)
* Halftone Images, Compressed Images: Image Hiding, Data Hiding, Steganography (H3)
* Hardware and Architecture for Coding (H2)
* Hierarchical, Multi-Level, Pyramidal Coding Techniques (H2)
* Image Compression or Coding, Surveys, Evaluations and Overviews (H3)
* Image Compression, Coding (H1)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Lossless Coding, Lossless Compression, Transmission (H2)
* MPEG 4 Issues (H3)
* MPEG 7 Issues (H3)
* MPEG and Related Standard Coding Methods (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Run-Length Coding Representations and Operations (H2)
* Set Partitioning in Hierarchical Trees (SPIHT) Coding (H
* Subband Coding Techniques (H3)
* Transform Coding -- General (H2)
25 for Image Compression
Image Database
[Provide a short definition]
* *Digital Image Storage and Archiving Systems
* *Storage and Retrieval for Image and Video Databases
* *Storage and Retrieval for Media Databases
* Audio-Video Analysis for Indexing and Classification (H4)
* 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)
* General Similarity Measures for Database Indexing (H3)
* Image Database -- Overall Systems (H2)
* Image Database Applications, Content Based Image Retrieval (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)
* Query Techniques, Query Languages (H2)
* Recognition by Color Indexing (H2)
* Retrieval and Indexing Applied to Coded Images (H3)
* Shape Features for Database Indexing, Feature Extraction (H4)
* System Issues, Data Structures (H3)
* User Feedback, Learning in the Query, Relevance Feedback (H4)
* User Interaction, Interactive Query Analysis, Relevance Feedback (H3)
* 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)
* Features for Image Retrieval: A Quantitative Comparison
* Multimodal Neighborhood Signature for Modeling Object Color Appearance and Applications in Object Recognition and Image Retrieval, The
34 for Image Database
Image Difference
[Provide a short definition]
* Consecutive Image Differencing Techniques (H2)
* Differencing Papers -- Ramesh Jain (H3)
* Image Differencing, Motion Segmentation and Filtering Techniques (H1)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Image Display
[Provide a short definition]
* Image Enhancement and Display (H1)
* Image Enhancement for Display, Printers (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Image Encryption
[Provide a short definition]
* Encryption, Visual Cryptography, Authentication (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
Image Enhancement
[Provide a short definition]
* Color in Image Enhancement (H2)
* Contrast Enhancement (H2)
* Image Enhancement and Display (H1)
* Image Enhancement for Display, Printers (H3)
* Image Enhancement, Survey, Review, Evaluation (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Image Enhancement, Survey
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Digital Image Enhancement: A Survey
Image Fusion
[Provide a short definition]
* Image and Sensor Fusion -- General (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Image Interpolation
[Provide a short definition]
* Image Manipulation, Image Interpolation -- Interpolation Operations (H4)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Image Matching
[Provide a short definition]
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Image Registration -- The Match Technique, Match Measures (H3)
* Image Registration, Fourier Transform, Spectral Domain Matching (H4)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* rubber-mask technique, II: Pattern Storage and Recognition, The
Image Models
[Provide a short definition]
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Statistical Image Models (H2)
Image Processing Systems
[Provide a short definition]
* General Purpose Image Processing Systems - Software (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Image Processing
[Provide a short definition]
* *Applications of Digital Image Processing
* Books, Collections, Overviews, General, and Surveys (H)
* General Image Processing and Pattern Recognition Papers (H2)
* Image Manipulation -- Rectification (H3)
* Image Manipulation -- Warping, etc. (H2)
* Image Processing Books (H1)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Two Dimensional Image Analysis Techniques (H1)
8 for Image Processing
Image Processing, Survey
* Books, Collections, Overviews, General, and Surveys (H)
* Computer Image Processing and Recognition
* Digital Image Processing
* Digital Image Processing (First Edition)
* Digital Image Processing, Second Edition
* Digital Picture Processing
* Fundamentals of Digital Image Processing
7 for Image Processing, Survey
Image Quality
[Provide a short definition]
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image Quality Evaluation, Quality Assessment, and Imaging Models (H2)
Image Query
[Provide a short definition]
* *IM2GPS: Estimating Geographic Information from a Single Image
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Image Registration
[Provide a short definition]
* Image Registration -- Overview, Survey, Review, Evaluation, Comparison (H3)
* Image Registration -- The Match Technique, Match Measures (H3)
* Image Registration -- Using Edges, Lines, Curves, and Corner and other Features (H3)
* Image Registration with Subpixel Accuracy (H3)
* Image Registration, Fourier Transform, Spectral Domain Matching (H4)
* Non-Rigid Image Registration Techniques (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
7 for Image Registration
Image Restoration
[Provide a short definition]
* Applied Restoration and Hardware (H2)
* Color, Multispectral, Multi-Channel Restoration (H2)
* Deinterlacing, De-Interlacing (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image Restoration (H1)
* Least Squares Applied to Restoration (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Restoration by Deconvolution (H2)
* Image Relaxation: Restoration and Feature-Extraction
9 for Image Restoration
Image Segmentation
[Provide a short definition]
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Performance Analysis for a Class of Iterative Image Thresholding Algorithms
Image Stitching
[Provide a short definition]
* Mosaic Generation, Image Stitching (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Panoramic Image, Panorama Creation (H3)
Image Thresholding
[Provide a short definition]
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Performance Analysis for a Class of Iterative Image Thresholding Algorithms
Image Warping
[Provide a short definition]
* Image Manipulation -- Warping, etc. (H2)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Digital Image Warping
Implementation
[Provide a short definition]
* Applied Restoration and Hardware (H2)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Gesture Recognition Systems, Applications (H3)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Implementation, Algorithms and Design of Filters (H2)
* Optical Flow Field Computations and Use (H)
* Real-Time Computation, Hardware for Optical Flow (H1)
* Wavelets Filter Design, Bases, and Implementations (H3)
9 for Implementation
Impulse Noise
[Provide a short definition]
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Noise Removal, Impulse Noise (H3)
* Fast detection and impulsive noise removal in color images
Incremental Reconstruction
[Provide a short definition]
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Three-Dimensional Reconstruction from Different Views (H1)
Indexing
[Provide a short definition]
* 2-D Images of 3-D Oriented Points
* 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)
* Active Object Recognition
* Model-Group Indexing for Recognition
* Probabilistic Indexing: Recognizing 3D Objects from 2D Images Using the Probabilistic Peaking Effect
* Robust Affine Structure Matching for 3d Object Recognition
* Space and Time Bounds on Indexing 3-D Models from 2-D Images
* Space Requirements of Indexing under Perspective Projections, The
10 for Indexing
Indian Characters
[Provide a short definition]
* Devanagari, Indic, Hindu, Bangla, Bengali, Telugu, Characters (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
Indoor Navigation
[Provide a short definition]
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Indoor Navigation Issues, Lines, Walls, Doors, Flat Surfaces (H3)
Industrial Applications
[Provide a short definition]
* Books, Collections, Overviews, General, and Surveys (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Industrial Applications (H1)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Model-Based Vision System for Industrial Parts, A
* Vision Of The Future
Industrial Vision, Survey
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Robot Vision
Infrared Tomography
[Provide a short definition]
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Optical, Infrared Tomography (H2)
Infrared
[Provide a short definition]
* *Targets and Backgrounds: Characterization and Representation
* ATR -- IR (Infra-Red) Applications (H
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Human Detection, Tracking, Infrared, IR (H4)
* Infrared Imagery Analysis (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Thermal, Infrared Face Detection and Analysis (H3)
9 for Infrar
InkML
[Provide a short definition]
* *Ink Markup Language: InkML
* OCR, Document Analysis and Character Recognition Systems (H)
Inpainting
[Provide a short definition]
* 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)
* Inpainting, Filling Holes, Fixing Problems (H3)
* Texture Synthesis (H2)
Inspection
[Provide a short definition]
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Inspection Systems and Techniques (H2)
* Recognition Systems Applied to Specific Applications (H1)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Texture for Defect Detection (H2)
* Automatic registration of ceramic tiles for the purpose of fault detection
7 for Inspection
Inspection, Defects
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Inspection -- Defect Detection, Crack Detection (H3)
Inspection, Disk Heads
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Machine Vision Algorithms for Automated Inspection of Thin-Film Disk Heads
Inspection, Food
* Agriculture, Inspection -- Food Products, Plants, Farms (H3)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Inspection, Joints
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Inspection -- Solder Joints, Welding, Pipes (H3)
Inspection, Lumber
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Inspection -- Lumber, Logs (H3)
Inspection, PCB - Survey
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Printed Circuit Board inspection
Inspection, PCB
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Automated Inspection of Solder Bumps Using Visual Signatures of Specular Image-Highlights
* Automatic Inspection for Printed Wiring
Inspection, PWB
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Method for Automating the Visual Inspection of Printed Wiring Boards, A
Inspection, Survey
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Automated Visual Inspection Techniques and Applications: A Bibliography
* Automated Visual Inspection: 1981 to 1987
* Automated Visual Inspection: A Survey
* Survey of Automated Visual Inspection, A
Inspection, Wear
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles
Integration
[Provide a short definition]
* Integration of Vision Modules (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Integration, Edge Modules
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Particle System Model for Combining Edge Information from Multiple Segmentation Modules, A
Interaction
[Provide a short definition]
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Gesture Recognition Systems, Applications (H3)
Interactive Segmentation
[Provide a short definition]
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Snakes, Assisted, Interactive Region Segmentations (H4)
Interest Operator, Moravec
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Towards Automatic Visual Obstacle Avoidance
Interest Points
[Provide a short definition]
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Region of Interest Detection, ROI, Interest Operators, Interest Points (H2)
Interest
[Provide a short definition]
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Region of Interest Detection, ROI, Interest Operators, Interest Points (H2)
Interior Angles
[Provide a short definition]
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Photogrammetric (H2)
Interpolation
[Provide a short definition]
* Image Manipulation, Image Interpolation -- Interpolation Operations (H4)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Interreflections
[Provide a short definition]
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Interreflections (H2)
Intersections
[Provide a short definition]
* Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Optimal Worst-Case Algorithm for Reporting Intersections of Rectangles, An
Interval Code
[Provide a short definition]
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Run-Length Coding Representations and Operations (H2)
Intrinsic Images
[Provide a short definition]
* 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)
* Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations (H
* Reconstructing Smooth Surfaces from Partial, Noisy Information
Invariance
[Provide a short definition]
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition
Invariance, Survey
* *Geometric Invariance in Computer Vision
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Invariants
[Provide a short definition]
* 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)
* 3-D Object Recognition Using Invariants (H2)
* Invariance Papers -- Mundy (H3)
* Invariants, General Issues and Techniques (H3)
* 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)
* Principal Component Decompositions, Point features (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Invariant Object Recognition Using a Neural Template Classifier
* Model-Based Recognition of 3-D Objects from One View
* None
* Recognition of Planar Shapes from Perspective Images Using Contour-Based Invariants
* Relative Affine Structure: Canonical Model for 3D from 2D Geometry and Applications
* Robust and Efficient Fourier-Mellin Transform Approximations for Gray-Level Image Reconstruction and Complete Invariant Description
16 for Invariants
Invariants, Affine
* Affine Invariants (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Invariants, Areas
* Invariants, Areas (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Invariants, Lines
* Invariants, Lines, Curves (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Invariants, Points
* Invariants, Points (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Point Pattern Invariants (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Invariants, Quasi
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Quasi-Invariants: Theory and Exploitation
Invariants, Theory
* Invariants, General Issues and Techniques (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Invariants, Three-Dimensional
* Invariants, Projective, Perspective (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Iris Detection
[Provide a short definition]
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Iris Detection and Localization Systems (H3)
Irradiance
[Provide a short definition]
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Light Source Direction Computations, Illumination Information, Illuminant (H3)
ISODATA Clustering
[Provide a short definition]
* Books, Collections, Overviews, General, and Surveys (H)
* ISODATA Clustering (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Introductory Digital Image Processing: A Remote Sensing Perspective
* Pyramid Linking is a Special Case of ISODATA
* Thresholding Using the ISODATA Clustering Algorithm
Iterative
[Provide a short definition]
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Iterative, Recursive, Restoration Techniques (H3)
IUA
[Provide a short definition]
* Hardware -- Image Understanding Architecture, IUA (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
IUE
[Provide a short definition]
* Image Understanding Environment, The (H2)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
IUE, Data Structures
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Dynamic Attributes, Code Generation and the IUE
IUE, Programming
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Stellar Application of the IUE: Solar Feature Extraction, A