Keywords i

IAFC Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Image-Adaptive Vector Quantization in an Entropy-Constrained Framework

IBR Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Virtual View Generation, View Synthesis, Image Based Rendering, IBR, Morphing (H2)

ICA Definition:* Independent Component Analysis.
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: ICA, PCA in Face Recognition (H4)
Section: Invariants -- ICA, Independent Component Analysis (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Natural Image statistics and neural representation

Ice Detection Section: Ice Detection, Ice Sheet Analysis, Glaciers Detection and Analysis (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
Section: Sea Ice Detection, Sea-Ice Analysis (H4)

ICP Definition:* Iterative Closest Point matching algorithm.
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Closest Point Algorithms, ICP, Iterative Closest Point (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: 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 Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Recognition of the Person from Writing, Identification, Authorship, Writer Identification (H4)

IFSAR Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)

Illuminant Direction Section: 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 Direction Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Light Source Direction Computations, Illumination Information, Illuminant (H3)

Illumination Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Face Analysis, Shading, Illumination and Color Variations (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Illumination Variations in Structure, Depth, and Shape from Motion (H2)
Section: Light Source Direction Computations, Illumination Information, Illuminant (H3)
Section: Matching for Stereo, Varying Illumination, Radiometric Changes (H3)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
8 for Illumination

Illusory Contours Section: 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 Section: General Purpose Image Analysis Systems (H1)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Image Analysis, Survey Section: Books, Collections, Overviews, General, and Surveys (H)
* Critical Survey of Image Analysis Methods, A

Image Based Rendering Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Depth and Range for View Synthesis, Image Based Rendering, IBR (H3)
Section: Image Based Rendering, View Generation for Video, Free-Viewpoint Video (H3)
Section: Relighting, Lighting Effects (H4)
Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Section: View Generation for Video, Free-Viewpoint Video, Stereo and Depth Aided (H4)
Section: 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
9 for Image Based Rendering

Image Captioning Section: Captioning, Image Captioning (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Image Coding Section: Image Compression, Coding, Overview Section (H1)
Section: Image Compression, Coding, Surveys, Evaluations and Overviews (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Wyner-Ziv Video Coding (H2)

Image Compression * *IEEE Trans. Circuits and Systems for Video Technology
* *IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing
Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Adaptive Coding Techniques (H2)
Section: Audio and Video Coding Standard, AVS Coding Issues, Standards (H3)
Section: AVC/H.264 Mode Selection, Mode Decision (H4)
Section: Cosine Transform, DCT Compression (H2)
Section: Cut Detection in Compressed Images, MPEG, Video Analysis (H4)
Section: Differential Pulse Code Modulation (DPCM) Coding (H
Section: General Rate-Distortion Tradeoff Issues, Single Images (H3)
Section: H.264/AVC Issues, Advanced Video Coding (H3)
Section: Halftone Images, Compressed Images: Image Hiding, Data Hiding, Steganography (H3)
Section: Hardware and Architecture for Coding (H2)
Section: Hierarchical, Multi-Level, Pyramidal Coding Techniques (H2)
Section: High Efficiency Video Coding, HEVC Coding Standards (H4)
Section: Image Compression, Coding, Overview Section (H1)
Section: Image Compression, Coding, Surveys, Evaluations and Overviews (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Intra-Coding, Intra-Prediction Issues, AVC/H.264 (H4)
Section: Lossless Coding, Lossless Compression, Transmission (H2)
Section: MPEG 4 Issues (H3)
Section: MPEG 7 Issues (H3)
Section: MPEG and Related Standard Coding Methods (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Run-Length Coding Representations and Operations (H2)
Section: Scalable Video Coding, SVC, Extensions AVC/H.264 (H4)
Section: Set Partitioning in Hierarchical Trees (SPIHT) Coding (H
Section: Subband Coding Techniques (H3)
Section: Transform Coding -- General (H2)
30 for Image Compression

Image Copy Section: Image Copy, Duplicate Image Detection (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Image Database * *Digital Image Storage and Archiving Systems
* *Storage and Retrieval for Image and Video Databases
* *Storage and Retrieval for Media Databases
Section: Audio-Video Analysis for Indexing and Classification (H4)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Database Indexing Using Bag of Words, Bag of Features (H3)
Section: Database Indexing Using Color and Shape or Regions (H3)
Section: Database Indexing Using Color (H3)
Section: Database Indexing Using Complex Features or Object Models (H4)
Section: Database Indexing Using Region Features (H4)
Section: Database Indexing Using Shape Descriptions and Features (H3)
Section: Database Indexing Using Texture (H3)
Section: Database Indexing Using Various Features, Multiple Features (H3)
Section: Database Indexing, Specific Tasks (H3)
Section: Extraction of Shape Features for Database Indexing, Feature Extraction (H4)
Section: General Similarity Measures for Database Indexing (H3)
Section: GIS: Systems, Complete Systems, Implementation (H2)
Section: Hashing for Large Scale Systems, Web-Scale System (H4)
Section: Image Database -- Overall Systems (H2)
Section: Image Database Applications, Content Based Image Retrieval (H1)
Section: Image Database Indexing Techniques (H2)
Section: Image Database, Retrieval -- Surveys, Evaluations (H2)
Section: Image Databases, Large Scale Systems, Web-Scale System (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Interactive Retrieval, Browsing Based Retrieval (H4)
Section: Internet Label Information (H4)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Medical Image Database Retrieval (H4)
Section: Object Extraction, Object Detection for Database Indexing (H4)
Section: Query by Sketch, 2D Drawings, Query Technique (H3)
Section: Query Techniques, Query Languages (H2)
Section: Recognition by Color Indexing (H2)
Section: Relevance Feedback, Personal Photo Collections (H4)
Section: Relevance Feedback, Tsinghua Univ. and Related Papers (H4)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
Section: Reranking in Query, Relevance Feedback (H4)
Section: Retrieval and Indexing Applied to Coded Images (H3)
Section: Shape and Texture Database Indexing (H3)
Section: System Issues, Data Structures (H3)
Section: User Feedback, Learning in the Query, Relevance Feedback (H4)
Section: User Interaction, Relevance Feedback, External Information (H3)
Section: Video Database General, Overview, Survey and Evaluations (H3)
Section: Video Database Indexing Systems (H3)
Section: Video Database Indexing Techniques (H3)
Section: Video Database Indexing, Color Analysis, Object Appearance (H4)
Section: Video Database Indexing, Motion Analysis (H4)
Section: 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
49 for Image Database

Image Difference Section: Consecutive Image Differencing Techniques (H2)
Section: Differencing Papers -- Ramesh Jain (H3)
Section: Image Differencing, Motion Segmentation and Filtering Techniques (H1)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Image Display Section: Image Enhancement and Display (H1)
Section: Image Enhancement for Display, Printers, High Dimensional Visualization (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Image Distortion Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Geometric Quality, Spatial Distortions (H3)

Image Editing Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Editing, Interactive Editing (H3)

Image Encryption Section: Encryption, Visual Cryptography, Authentication (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Image Enhancement Section: Color in Image Enhancement (H2)
Section: Contrast Enhancement (H2)
Section: Histogram Equalization, Image Enhancement, Contrast Enhancement (H3)
Section: Image Enhancement and Display (H1)
Section: Image Enhancement for Display, Printers, High Dimensional Visualization (H3)
Section: Image Enhancement, Survey, Review, Evaluation (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
7 for Image Enhancement

Image Enhancement, Survey Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Digital Image Enhancement: A Survey

Image Forensics Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Tamper Detection, Forensics (H3)

Image Fusion Section: Image and Sensor Fusion -- General (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Image Hiding Section: Image Hiding, Data Hiding, Steganography, Steganalysis (H2)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Image Interpolation Section: Image Manipulation, Image Interpolation -- Interpolation Operations (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Image Matching Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Registration -- The Match Technique, Match Measures (H3)
Section: Image Registration, Fourier Transform, Spectral Domain Matching (H4)
Section: Image Registration, Hierarchical Techniques, Pyramids, Multi-resolution, Recursive (H4)
Section: Image Registration, Match Measures, Deformation, Affine Matching (H4)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* rubber-mask technique, II: Pattern Storage and Recognition, The
7 for Image Matching

Image Matting Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Matting, Video Matting (H3)

Image Models Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Statistical Image Models (H2)

Image Processing Systems Section: General Purpose Image Processing Systems - Software (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Image Processing * *Applications of Digital Image Processing
Section: Books, Collections, Overviews, General, and Surveys (H)
Section: General Image Processing and Pattern Recognition Papers (H2)
Section: Image Manipulation -- Rectification (H3)
Section: Image Manipulation -- Warping, Rotation, Distortion, etc. (H2)
Section: Image Processing Books (H1)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Two Dimensional Image Analysis Techniques (H1)
8 for Image Processing

Image Processing, Survey Section: 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 Measure Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models (H2)

Image Quality Metric Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models (H2)

Image Quality Section: Assessment of Sharpness, Evaluation of Sharpening (H3)
Section: Compressed Image Quality Evaluation, JPEG Quality Evaluation (H3)
Section: Document Image Quality Evaluation (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Quality Evaluation, Geometric Quality, Spatial Distortions (H3)
Section: Image Quality Evaluation, Perceptual Quality, Subjective Quality, Human Visual System Based, HVS (H3)
Section: Image Quality Evaluation, Stereoscopic Imagery, Stereo (H3)
Section: Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models (H2)
Section: No-Reference Image Quality Evaluation (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)
10 for Image Quality

Image Query * *IM2GPS: Estimating Geographic Information from a Single Image
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Image Reconstruction Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Positron Emission Tomography, Fessler Group Papers (H3)
Section: Positron Emission Tomography, PET Image Reconstruction (H3)

Image Registration Section: Image Registration -- Overview, Survey, Review, Evaluation, Comparison (H3)
Section: Image Registration -- The Match Technique, Match Measures (H3)
Section: Image Registration -- Using Edges, Lines, Curves, and Corner and other Features (H3)
Section: Image Registration Techniques (H2)
Section: Image Registration with Subpixel Accuracy (H3)
Section: Image Registration, Fourier Transform, Spectral Domain Matching (H4)
Section: Image Registration, Hierarchical Techniques, Pyramids, Multi-resolution, Recursive (H4)
Section: Image Registration, Match Measures, Deformation, Affine Matching (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Non-Rigid Image Registration, Deformable Registration, Techniques (H3)
Section: Registration for Super Resolution (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
12 for Image Registration

Image Restoration Section: Applied Restoration, Restore Old Films, and Hardware and Systems (H2)
Section: Color, Multispectral, Multi-Channel Restoration (H2)
Section: Deinterlacing, De-Interlacing (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Image Restoration, Image Denoising (H1)
Section: Least Squares Applied to Restoration (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Restoration by Deconvolution, Blind Deconvolution (H2)
* Image Relaxation: Restoration and Feature-Extraction
9 for Image Restoration

Image Rotation Section: Image Manipulation -- Warping, Rotation, Distortion, etc. (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)

Image Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Performance Analysis for a Class of Iterative Image Thresholding Algorithms

Image Stitching Section: Mosaic Generation, Image Stitching, Photomosaic (H2)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Panoramic Image, Panorama Creation (H3)

Image Thresholding Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Performance Analysis for a Class of Iterative Image Thresholding Algorithms

Image Warping Section: Image Manipulation -- Warping, Rotation, Distortion, etc. (H2)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Digital Image Warping

Imbalanced Data Section: Imbalanced Sample Sizes, Imbalanced Data (H3)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Immersion Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Telepresence, Teleoperation, Immersion (H3)

Immersive Systems Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Telepresence, Teleoperation, Immersion (H3)

Impervious Surface Section: Impervious Surface Detection, Urban Area Extraction (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Implementation Section: Applied Restoration, Restore Old Films, and Hardware and Systems (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Gesture Recognition Systems, Applications, Human Computer Interaction Systems (H3)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Implementation, Algorithms and Design of Filters (H2)
Section: Optical Flow Field Computations and Use (H)
Section: Real-Time Computation, Real-Time Implementation, Hardware for Optical Flow (H1)
Section: Wavelets Filter Design, Bases, Basis, and Implementations (H3)
9 for Implementation

Impulse Noise Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Noise Removal, Impulse Noise, Salt and Pepper (H3)
* Fast detection and impulsive noise removal in color images

In the Wild Section: Face Recognition at a Distance, In the wild, In-the-Wild (H3)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Incremental Reconstruction Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Three-Dimensional Reconstruction from Different Views (H1)

Indexing * 2-D Images of 3-D Oriented Points
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)
* 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 Section: Devanagari, Indic, Hindi, Hindu, Bangla, Bengali, Telugu, Characters (H3)
Section: OCR, Document Analysis and Character Recognition Systems (H)

Indoor Environment Section: Human Action Recognition, Indoor Environments, Office, Smart Room (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Indoor Models Section: Building Interiors, Walls, Indoor Models (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Indoor Navigation Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Indoor Navigation Issues, Lines, Walls, Doors, Flat Surfaces (H3)

Industrial Applications Section: Books, Collections, Overviews, General, and Surveys (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Industrial Applications (H1)
Section: 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 Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Robot Vision

Infrared Sensors Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Infrared Sensors (H2)

Infrared Tomography Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Optical Tomography, Infrared Tomography (H2)

Infrared * *Targets and Backgrounds: Characterization and Representation
Section: ATR -- IR, Infra-Red, Thermal, Applications (H2)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Human Detection, Tracking, Infrared, IR, Thermal Images (H4)
Section: Image and Sensor Fusion -- IR and Thermal with Visible (H3)
Section: Infrared Imagery Analysis (H2)
Section: Iris Recognition Systems, Infrared, Near-Infrared, NIR Based (H3)
Section: Mammography, Thermal, Infrared Analysis (H3)
Section: Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
Section: Thermal, Infrared Face Detection and Analysis (H3)
14 for Infrar

Infrared, Faces Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Thermal, Infrared Face Detection and Analysis (H3)

InkML * *Ink Markup Language: InkML
Section: OCR, Document Analysis and Character Recognition Systems (H)

Inpainting Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Image Matting, Video Matting (H3)
Section: Inpainting, Filling Holes, Fixing Problems, Missing Data (H3)
Section: Inpainting, Inpainting Range Images, Range, Depth Data (H4)
Section: Inpainting, Interpolation Methods (H4)
Section: Inpainting, Patch Based Methods (H4)
Section: Inpainting, Video Inpainting (H4)
Section: Inpainting, Wavelet Based Methods (H4)
Section: Object Removal, Inpainting After Removing Objects (H4)
Section: Texture Synthesis (H2)
* Inpainting of Cyclic Data Using First and Second Order Differences
12 for Inpainting

InSAR Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)

Insect Recognition Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Insects, Detection, Identification (H4)

Inspection Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection Systems and Techniques (H2)
Section: Recognition Systems Applied to Specific Applications (H1)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
Section: Texture for Defect Detection (H2)
* Automatic registration of ceramic tiles for the purpose of fault detection
7 for Inspection

Inspection, Defects Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Defect Detection, Crack Detection (H3)
Section: Inspection -- Pavement, Road Surface, Asphalt, Concrete (H4)

Inspection, Disk Heads Section: 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 Section: Agriculture, Inspection -- Food Products, Plants, Farms (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

Inspection, Joints Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Solder Joints, Welding, Pipes (H3)

Inspection, Lumber Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Inspection -- Lumber, Logs, Wood (H3)

Inspection, PCB - Survey Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Printed Circuit Board inspection

Inspection, PCB Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: 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 Section: 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 Section: 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 Section: 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

Instructional Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: Telepresence, Immersion, for Instruction, Training, Education (H4)

Integration Section: Integration of Vision Modules, Select Operations (H2)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Integration, Edge Modules Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Particle System Model for Combining Edge Information from Multiple Segmentation Modules, A

Intelligent Transportation Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
Section: Vehicle Systems, Transportation (H4)

Interactions Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
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: Human Activities, Interacting with Objects (H4)
Section: Human Activities, Interactions between People (H3)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
7 for Interactions

Interactive 3D Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Depth sculpturing for 2D paintings: A progressive depth map completion framework

Interactive Retrieval Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Interactive Retrieval, Browsing Based Retrieval (H4)
Section: User Interaction, Relevance Feedback, External Information (H3)

Interactive Segmentation Section: 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
Section: Interactive 3D Segmentations, Depth, Range, Stereo (H4)
Section: Interactive Region Segmentations, Snakes, User-Assisted Segmentation (H4)
* Extracting 3D Objects from Photographs Using 3-Sweep

Interactive Systems Section: Interactive Building Extraction and Modelling Systems (H2)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Interest Operator, Moravec Section: Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Towards Automatic Visual Obstacle Avoidance

Interest Points Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Evaluation of Salient Point, Interest Point Detection (H3)
Section: Interest Operators, Interest Points, Feature Points, Salient Points (H2)
Section: Keypoint Detection (H3)
Section: Rotation Invariant Features (H3)
Section: Scale Invariant Features, SIFT, SURF (H3)
Section: Three-Dimensional Interest Points, Depth Data Interest Points (H3)
7 for Interest Points

Interest Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Interest Operators, Interest Points, Feature Points, Salient Points (H2)

Interferometric SAR Section: Buildings from SAR, InSAR, ISAR Data (H3)
Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)
Section: Spaceborne Interferometric SAR, Satellite Based (H3)

Interior Angles Section: Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
Section: Camera Calibration, Photogrammetric, Bundle Adjustment, Block Adjustment (H2)

Interior Models Section: Building Interiors, Walls, Indoor Models (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Internet Scale Database Section: Hashing for Large Scale Systems, Web-Scale System (H4)
Section: Image Databases, Large Scale Systems, Web-Scale System (H3)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
Section: Social Media Search, Large Scale Systems, Web-Scale System (H4)

Interpolation Section: Image Manipulation, Image Interpolation -- Interpolation Operations (H4)
Section: Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Section: Video Frame Interpolation -- Interpolation Operations (H4)

Interreflections Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Interreflections, Reflections (H2)

Intersections Section: Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform (H)
* Optimal Worst-Case Algorithm for Reporting Intersections of Rectangles, An

Interval Code Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Run-Length Coding Representations and Operations (H2)

Intra-Coding Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Intra-Coding, Intra-Prediction Issues, AVC/H.264 (H4)

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

Intra Prediction Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Intra-Coding, Intra-Prediction Issues, AVC/H.264 (H4)

Intrinsic Images 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: Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations (H
* Reconstructing Smooth Surfaces from Partial, Noisy Information

Intrusion Detection Section: Intruders, Intrusions, Intrusion Detection, Threats (H4)
Section: Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Invariance Section: 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
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Invariants Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
Section: 3-D Object Recognition Using Invariants (H2)
Section: Invariance Papers -- Mundy (H3)
Section: Invariants, General Issues and Techniques (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: OCR, Document Analysis and Character Recognition Systems (H)
Section: Other Invariants in Face Recognition, General Invariants, Sparse Representations (H4)
Section: Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Section: Principal Component Decompositions, Point features (H2)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Applying Algebraic and Differential Invariants for Logo Recognition
* Invariant Object Recognition Using a Neural Template Classifier
* Model-Based Recognition of 3-D Objects from One View
* 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
17 for Invariants

Invariants, Affine Section: Affine Invariants (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Invariants, Areas Section: Invariants, Areas (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Invariants, Lines Section: Invariants, Lines, Curves (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Invariants, Points Section: Invariants, Points (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Point Pattern Invariants (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Invariants, Quasi Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Quasi-Invariants: Theory and Exploitation

Invariants, Theory Section: Invariants, General Issues and Techniques (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Invariants, Three-Dimensional Section: Invariants, Projective, Perspective (H3)
Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Inverse Halftone Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Inverse Half Tone (H4)

Ionosphere Section: Ionosphere, Ionosphere Tomography, Reflections, Ionospheric Effects (H3)
Section: Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR (H)

Iris Detection Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Iris Detection, Segmentation and Localization Systems (H3)

Iris Matching Section: Biometrics, Iris Recognition Systems (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Iris Recognition Section: Biometrics, Iris Recognition Systems (H2)
Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Iris Based Biometrics, Biometrics Engineering Research Center, Dongguk University (H3)
Section: Iris Recognition Systems, Infrared, Near-Infrared, NIR Based (H3)
Section: Iris Recognition Systems, Spoofing, Liveness, Contact Lenses (H3)
Section: Iris Recognition Systems, Systems, Evaluation, Comparison, Surveys (H3)
Section: Iris Recognition Systems, Wavelet Based (H3)
7 for Iris Recognition

Iris Segmentation Section: Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
Section: Iris Detection, Segmentation and Localization Systems (H3)

Irradiance Section: 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
Section: Light Source Direction Computations, Illumination Information, Illuminant (H3)

ISAR Section: Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
Section: Interferometric SAR Analysis, InSAR, IFSAR, ISAR (H2)

ISODATA Clustering Section: Books, Collections, Overviews, General, and Surveys (H)
Section: ISODATA Clustering (H3)
Section: 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

Isometric Section: Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Section: Subgraph Isomorphism, Common Subgraphs, Subgraph Matching (H3)

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

Iterative Closest Point Section: 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
Section: Closest Point Algorithms, ICP, Iterative Closest Point (H3)
Section: Register 3-D Data, Range Registration, 3-D Correspondence (H3)
Section: Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Iterative Section: Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
Section: Iterative, Recursive, Restoration Techniques (H3)

IUA Section: Hardware -- Image Understanding Architecture, IUA (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

IUE Section: Image Understanding Environment, The (H2)
Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)

IUE, Data Structures Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Dynamic Attributes, Code Generation and the IUE

IUE, Programming Section: Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Stellar Application of the IUE: Solar Feature Extraction, A

Index for "j"


Last update:18-Nov-17 21:19:46
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