Keith Price Bibliography keyword Listing for c

Keywords c

CAD * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Graphics and CAD Based Vision, CAD Models (H1)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* CAD-Based 3D Object Representation for Robot Vision
* CAGD Based Computer Vision
* Organizing Large Structural Modelbases
* Precompiling a Geometric Model into an Interpretation Tree for Object Recognition in Bin-Picking Tasks
7 for CAD

CAD, Survey * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* CAD-Based Robot Vision

Calibration Object * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration Using Calibration Object, or Known Features (H2)

Calibration * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Multi-View AAM Fitting and Camera Calibration

Calibration, Range Finder * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Projective Calibration of a Laser-Stripe Range Finder

Calibration, Self * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Self Calibration, Autocalibration (H2)
* Camera Calibration -- Stereo, Robot Based (H3)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Critical Motions and Ambiguous Euclidean Reconstructions in Auto-Calibration
* Multiview Geometry: Profiles and Self-Calibration
7 for Calibration, Self

Calibration, Stereo * Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Self-Calibration of an Uncalibrated Stereo Rig from One Unknown Motion

Camera Calibration, Distortion * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Lens Distortion, Aberration, Radial Distortion, Internal Parameters (H2)

Camera Calibration, Focal Length * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Zoom Lens Calibration, Focal Lengths (H3)

Camera Calibration, Laser * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Calibration -- Lidar, Laser Scanner, Depth Sensor, Scanner Error Analysis (H3)

Camera Calibration, Motion * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Robot Based, Servo (H2)
* Camera Calibration -- Stereo, Robot Based (H3)

Camera Calibration, Perspective * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Perspective Based, Vanishing Points (H2)

Camera Calibration, Radiometric * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Photometric, Radiometric Calibration (H2)
* Radiometric Calibration of Satellite and Space Images (H3)

Camera Calibration, Robot * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Robot Based, Servo (H2)

Camera Calibration, Stereo * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Camera Calibration -- Stereo, Robot Based (H3)
* Camera Calibration -- Stereo (H2)

Camera Following * Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Target Tracking, Active, Camera Following, Real Time Issues, Hardware (H3)

Camera Motion * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Building mosaics from video using MPEG motion vectors

Camera, Conical Mirror * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Real-Time Generation of Environmental Map and Obstacle Avoidance Using Omnidirectional Image Sensor with Conic Mirror

Camera, Spherical Mirror * 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

Camera, Variable Focus * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Obtaining Focused Images Using a Non-frontal Imaging Camera

Cameras * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Optical Sensors for Machine Vision (H2)
* Sensors for Machine Vision (H1)

Cancer Detection * Medical Applications -- Cervical Cancer Analysis (H2)
* Medical Applications -- Prostate Cancer Analysis (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Canny Edges * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Directional Masks, Gaussian Masks, Canny etc. (H2)

Captions * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video Analysis -- Captions, Text and Audio (H3)

Cardiac * Medical Applications -- Heart, Cardiac Applications (H1)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Cartography * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* CMU MAPS Image Database System (H1)
* General Cartography Issues (H1)
* Image and Sensor Fusion for Cartography and Aerial Images (H3)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* SRI General Cartography Systems (H1)
* Knowledge-Based Aerial Photo Interpretation
* Learning to Detect Rooftops in Aerial Images
* Marco: Map Retrieval by Content
* Rule Based Interpretation of Aerial Imagery
* Semi-Automated Object Measurement Using Multiple-Image Matching from Mobile Mapping Image Sequences
14 for Cartography

Catadioptric * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Catadioptric, Omnidirectional Camera Calibration (H3)

Cells * Blood Cells, Counting, Extraction, Analysis (H2)
* Extraction and Analysis of Cells (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Surveys, Comparisons, Cells, DNA (H2)

Cellular Automata * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Multi-Processor Algorithms, Cellular, Systolic (H2)
* Parallel Image Processing by Memory-Augmented Cellular Automata

Chain Codes * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Chain Code Representations (H3)
* Curve Partitions, Applied to Chain Codes (H3)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* OCR, Document Analysis and Character Recognition Systems (H)
* Chain-Link Compression of Arbitrary Black-White Images
* Chaincode Contour Processing for Handwritten Word Recognition
* On Limit Properties in Digitization Schemes
* On the Encoding of Arbitrary Geometric Configurations
9 for Chain Codes

Chain Codes, Evaluation * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Analysis of the Precision of Generalized Chain Codes for the Representation of Planar Curves

Chain Codes, Survey * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Computer Processing of Line Drawing Images

Chamfer Matching * Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Chamfering: A fast method for obtaining approximations of the Euclidean distance in N dimensions
* Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching

Change Detection * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Change Detection -- Image Level (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Automatic Comparison of a Topographic Map with Remotely-Sensed Images in a Map Updating Perspective: The Road Network Case
* Change Detection and Analysis in Multi-Spectral Images
* Detecting Changes in Aerial Views of Man-Made Structures
* Fast Structure-Adaptive Evaluation of Local Features in Images, A
* Model Validation for Change Detection
* Optimum Multisensor Data Fusion for Image Change Detection
* Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors
* Segmentation Characterization for Change Detection
* Standardized Radiometric Normalization Method for Change Detection Using Remotely Sensed Imagery, A
* Symbolic Image Registration and Change Detection
16 for Change Detection

Change Detection, Differencing * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Algorithm for Estimating Small Scale Differences Between Two Digital Images, An
* Computer Comparison of Pictures
* Novel Change Detection Algorithm Using Adaptive Threshold, A
* Site-Model-Based Change Detection and Image Registration
* Techniques for Change Detection
7 for Change Detection, Differencing

Character Recognition * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Arabic Numbers, Digits, Handwritten (H3)
* Character Recognition Survey, Overview, Evaluations (H2)
* Character Recognition Systems (H1)
* Chinese and Kanji Characters (H2)
* Chinese Characters, Handwritten (H3)
* Chinese Characters, Using Stroke and Radical Analysis (H3)
* Documents and Character Analysis -- Surveys, Comparisons, Evaluations (H1)
* General Character Recognition Issues (H2)
* Hidden Markov Models, HMM (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Multiple Classifiers Applied to Arabic Numbers (H4)
* Neural Networks for Numbers and Digits (H4)
* OCR Evaluations (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Online Recognition of Chinese Characters (H3)
* Other Character Sets (H2)
* Roman Alphabet (H2)
* Adaptive Algorithm for Text Detection from Natural Scenes, An
* Fuzzy Pyramid Scheme for Distorted Object Recognition
* Hexagonal Wavelet Representations for Recognizing Complex Annotations
* Image Thresholding for Optical Character Recognition and Other Applications Requiring Character Image Extraction
* Scene Text Extraction and Translation for Handheld Devices
23 for Character Recognition

Chinese Character Recognition * Chinese and Kanji Characters (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Online Recognition of Chinese Characters (H3)

Chromosomes * Cell, DNA, Genome, Chromosome Analysis and Extraction, Microarray (H1)
* Chromosome Analysis and Extraction (H2)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)

Circles * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Basic Algorithms to Partition Curves (H2)
* Circle Generation (H3)
* Circular Features, Circle Detection, Circle Fitting, or Particular Curves (H3)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Hough Transform -- Circle Features (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data, A
* Original Approach for Extracting Circular Shapes from Technical Charts, An
9 for Circles

Circular Features * Circle Generation (H3)
* Circular Features, Circle Detection, Circle Fitting, or Particular Curves (H3)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)

Classifer Combinations * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Multiple Classifiers, Combining Classifiers, Combinations (H3)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Multiple classifier combination for face-based identity verification

Classification * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Classification for Crops, Ground Cover, Land Use, Land Cover, Remote Sensing (H3)
* Clustering for Region Segmentation (H2)
* Feature Selection in Pattern Recognition or Clustering (H2)
* K-Means Clustering (H2)
* King Sun Fu Pattern Recognition Papers (H2)
* Nearest Neighbor Classification (H2)
* Pattern Recognition and Clustering Techniques (H1)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Pattern Recognition, General Issues (H2)
* Statistical Learning, Clustering, Learning Feature Values (H2)
* Performance Evaluation of Multispectral Analysis for Surface Material Classification
13 for Classification

Classifiers, multiple * OCR, Document Analysis and Character Recognition Systems (H)
* Generalized-Approach to the Recognition of Structurally Similar Handwritten Characters Using Multiple Expert Classifiers

Closest Point * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Closest Point Algorithms, ICP, Iterative Closest Point (H3)

Cloud Detection * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Cloud Detection, Shadow Detection and Extraction (H2)

Clouds * Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Optical Flow Field Computations and Use (H)
* Tracking for Weather, Clouds (H3)
* Correlation-Relaxation-Labeling Framework for Computing Optical Flow: Template Matching from a New Perspective, A

Clustering * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Clustering Applications (H2)
* Clustering for Region Segmentation (H2)
* Clustering, Classification, General (H2)
* Detecting Clusters and Number of Clusters (H2)
* Fuzzy Clustering, Cluster Validity Tests (H3)
* Fuzzy Clustering, Fuzzy Classification Techniques (H2)
* Fuzzy Clustering, Overview, Summary, Comparisons (H3)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Linear Separable Classification (H2)
* Pattern Recognition and Clustering Techniques (H1)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Pattern Recognition, General Issues (H2)
* Unsupervised Clustering and Optimal Clusters for Segmentation (H3)
* Bottom Up Image Segmentor, A
* Image Segmentation by a Parallel, Non-Parametric Histogram Based Clustering Algorithm
* On Threshold Selection Using Clustering Criteria
* Parallel Hierarchical-Clustering Algorithms on Processor Arrays with a Reconfigurable Bus System
* Recursive Clustering Technique for Color Picture Segmentation, A
* Thresholding Using the ISODATA Clustering Algorithm
20 for Clustering

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

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

Clutter * ATR -- Clutter, Background Issues (H2)
* 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)
* Ratio of the Arithmetic to the Geometric Mean: A First-order Statistical Test for Multilook SAR Image Homogeneity, The

CME * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* SRI Environments -- Image Calc, CME RADIUS (H2)

Co-occurrence Matrix * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Co-occurrence Matrix Description Methods (H1)
* Optical Texture Analysis for Automatic Cytology and Histology: A Markovian Approach
* Statistical-Methods to Compare the Texture Features of Machined Surfaces
* Textural Features for Image Classification

Code, 3-D Segmentation * *Seg3D: Volumetric Image Segmentation and Visualization
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Code, 3-D Visualization * *map3d: Interactive scientific visualization tool for bioengineering data
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Code, Active Appearance Model * *AAM Building
* *Active Appearance Models
* *am_tools
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)

Code, Active Blobs * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Active Blobs

Code, Alignment * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Fast, Approximately Optimal Solutions for Single and Dynamic MRFs

Code, Bundle Adjustment * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Addingham Bundle Adjustment
* Design and Implementation of a Generic Sparse Bundle Adjustment Software Package Based on the Levenberg-Marquardt Algorithm, The

Code, Camera Calibration * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Flexible New Technique for Camera Calibration, A
* Matlab Camera Calibration Toolbox
* Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses, A

Code, Chain Code * *Chain Code Representation
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Fast Chain Coding of Region Boundaries

Code, Computer Vision * *Handbook of Computer Vision and Applications. 3. Systems and Applications
* *OpenCV
* *OpenVidia
* *PEIPA Computer Vision Software
* *VXL
* Books, Collections, Overviews, General, and Surveys (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Computer Vision and Applications: A Guide for Students and Practitioners
* MATLAB and Octave Functions Software for Computer Vision and Image Processing
* Practical Computer Vision Using C
10 for Code, Computer Vision

Code, Convex Grouping * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Robust and Efficient Detection of Salient Convex Groups

Code, Convex Hull * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Exact polyhedral visual hulls

Code, Curve Segmentation * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Nonparametric Segmentation of Curves into Various Representations

Code, Curve Smoothing * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Non-Parametric Multi-Scale Curve Smoothing

Code, Depth from Focus * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Rational Filters for Passive Depth from Defocus

Code, Distance Transform * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Distance Transforms of Sampled Functions

Code, Document Analysis * *Gamera project
* OCR, Document Analysis and Character Recognition Systems (H)

Code, Edge Detection * *Edison: Edge Detection and Image SegmentatiON system
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Combined Corner and Edge Detector, A
* Global Measures of Coherence for Edge Detector Evaluation
* Logical/Linear Operators for Image Curves
* Recursive Filtering and Edge Tracking: Two Primary Tools for 3D Edge Detection
* Susan: A New Approach to Low-Level Image-Processing
8 for Code, Edge Detection

Code, Ellipse Fitting * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Ellipse-Specific Direct Least-Square Fitting

Code, Energy Minimization * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Computing geodesics and minimal surfaces via graph cuts

Code, Eye Tracking * *openEyes
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Code, Face Detection * *Face Detection Home Page
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)

Code, Face Recognition * *Face Recogniton Home Page
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* CSU Face Identification Evaluation System: Its purpose, features, and structure, The

Code, Fourier * Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Shape Discrimination Using Fourier Descriptors

Code, Gait * *Baseline Algorithm and Performance for Gait Based Human ID Challenge Problem
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Code, H.264/AVC * Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* H.264/AVC Refrence Software

Code, Head Tracking * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Textured-Mapped 3D Models

Code, Hough Transform * *Hough Transform Code
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)

Code, Image Analysis * *C++ Template Image Processing Library
* *Delft Image Processing library, The
* *Image Processing Library 98
* *ImageLib: An Image Processing C++ Class Library
* *ImLib3D
* *NeatVision
* *Noesis Vision
* *Recognition And Vision Library
* *Robot Vision 2 Inc.
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Vista: A Software Environment for Computer Vision Research
11 for Code, Image Analysis

Code, Image Compression * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Compression Method for Arbitrary Precision Floating-Point Images, A

Code, Image Processing * *AccuSoft
* *Bioimage Suite
* *Generic Programming for Computer Vision: The VIGRA Computer Vision Library
* *GNU Image Manipulation Program
* *Groningen Image Processing System, GIPSY
* *HIPR2: Free WWW-based Image Processing Teaching Materials with JAVA
* *Ifran View
* *IFS: Image File System
* *ImageJ: Image Processing and Analysis in Java
* *ImageMagick
* *JPEG 2000
* *JPEG: Joint Photographic Experts Group
* *LibTIFF: TIFF Library and Utilities
* *LTI-Lib
* *MediaCybernetics
* *Mimas
* *OpenCV
* *pbmplus Image File Format Conversion Package
* Books, Collections, Overviews, General, and Surveys (H)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Algorithms for Graphics and Image Processing
* Algorithms for Image Processing and Computer Vision
* Building Imaging Applications with Java(TM)
* Computer Vision and Image Processing: A Practical Approach Using CVIPtools
* Data Structures for Image Processing in C
* Digital Image Processing Using MATLAB(R)
* Digital Image Processing: A Practical Introduction Using Java
* Digital Image Processing: An Algorithmic Approach Using Java
* Digital Signal and Image Processing Using MATLAB(R)
* Handbook of Astronomical Image Processing
* Handbook of Computer Vision Algorithms in Image Algebra
* HIPS: A Unix-Based Image Processing System
* Hypermedia Image Processing Reference
* Pattern Recognition and Image Processing in C++
* Photo-Based 3D Graphics in C++: Compositing, Warping, Morphing, and Other Digital Special Effects
* Practical Algorithms for Image Analysis: Description, Examples, and Code
* Practical Image Processing in C
* VIPS: A Digital Image Processing Algorithm Development Environment
39 for Code, Image Processing

Code, Image Retrieval * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Evaluating Image Retrieval

Code, Image Stitching * *Panorama Tools
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)

Code, Inpainting * *restoreInpaint
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Code, Kalman Filter * *Kalman Filter Library
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Introduction to the Kalman Filter, An

Code, Landmarks * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Precision Landmark Location for Machine Vision and Photogrammetry: Finding and Achieving the Maximum Possible Accuracy

Code, Levenberg-Marquardt * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Algorithm for Least-Squares Estimation of Nonlinear Parameters, An

Code, Matching * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Modal Matching for Correspondence and Recognition
* Software Library for Appearance Matching (SLAM)

Code, Mathematical Software * *NIST Guide to Available Mathematical Software

Code, Mesh Models * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* ply2vri
* Zippered Polygon Meshes from Range Images

Code, Modes * Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Mode-Finding for Mixtures of Gaussian Distributions

Code, Morphology * *Mathematical Morphology
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Code, Mosaic * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Scene Collages and Flexible Camera Arrays

Code, Motion Blur * 3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)

Code, Motion Capture * *CMU Graphics Lab Motion Capture Database
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)

Code, Motion Segmentation * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Implementation of Bilayer Segmentation of Live Video

Code, Motion * Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Linear Algorithm for Motion from Three Weak Perspective Images Using Euler Angles

Code, Music Processing * OCR, Document Analysis and Character Recognition Systems (H)
* Staff Line Removal Toolkit for Gamera

Code, Neural Networks * Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Enhanced neural gas network for prototype-based clustering
* Pattern Recognition with Neural Networks in C++

Code, Numerical Algorithms * Books, Collections, Overviews, General, and Surveys (H)
* Numerical Recipes in C

Code, OCR * *GOCR
* *Google Tesseract-OCR
* OCR, Document Analysis and Character Recognition Systems (H)
* Nist Form-Based Handprint Recognition System (Release 2.2)

Code, Optic Flow * *Optic Flow Evaluation
* Optical Flow Field Computations and Use (H)
* Performance of Optical Flow Techniques
* Real-Time Quantized Optical Flow
* Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow-Fields, The

Code, PCA * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Framework for Robust Subspace Learning, A

Code, Perceptual Grouping * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Computing Perceptual Organization in Computer Vision
* in-depth study of graph partitioning measures for perceptual organization, An

Code, Radar * *Radar Tools
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Code, Radiometric Calibration * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Radiometric Self Calibration

Code, Rectification * Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Rectification for any epipolar geometry

Code, Registration * Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Iterative Image Registration Technique with an Application to Stereo Vision, An

Code, Relighting * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Lighting Sensitive Display

Code, Restoration * *restoreInpaint
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)

Code, Retinex * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Retinex in Matlab

Code, Segmenation Evaluation * Books, Collections, Overviews, General, and Surveys (H)
* Automated Performance Evaluation of Range Image Segmentation

Code, Segmentation * *Edison: Edge Detection and Image SegmentatiON system
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Dynamic Threshold Determination by Local and Global Edge Evaluation
* Efficient Graph-Based Image Segmentation
* Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision, An
* Graph Partitioning Active Contours (GPAC) for Image Segmentation
* Intellegent Scissors: Interactive tool for image segmentation
* Level-set image segmenation software
* Matlab toolbox for Level Set Methods
* Normalized cut image segmenation software
* Ratio Contour Code
* Robust Analysis of Feature Spaces: Color Image Segmentation
* Segmentation skin cancer images
15 for Code, Segmentation

Code, Shape from Shading * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Integration of Shape from Shading and Stereo
* Shape From Shading Using Linear-Approximation
* Shape from Shading: A Survey

Code, Signal Processing * Books, Collections, Overviews, General, and Surveys (H)
* Signal Processing Algorithms in Fortran and C
* Signal Processing Algorithms in MATLAB

Code, Snakes * *Mega Wave
* *qsnake_demo
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Gradient Vector Flow: A New External Force for Snakes

Code, Space Envelope * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Space Envelope: A Representation for 3D Scenes, The

Code, Steerable Filter * Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Steerable Pyramid: A Flexible Architecture for Multi-Scale Derivative Computation, The

Code, Stereo * *Real Time Dense Stereo
* *SRI Stereo Engine
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Computing Visual Correspondence with Occlusions via Graph Cuts
* Efficient Belief Propagation for Early Vision
* Shape and the Stereo Correspondence Problem
* Stereo Matching With Nonlinear Diffusion
* Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms, A
9 for Code, Stereo

Code, Structure from Motion * Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Automatic Non-rigid 3D Modeling from Video

Code, Support Vector Machines * Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* LIBSVM: a library for support vector machines

Code, Surface Appearance * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Time-varying Surface Appearance: Acquisition, Modeling, and Rendering

Code, Surface Fitting * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Linear Fitting with Missing Data for Structure-from-Motion

Code, Surgery * Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* IGSTK: an open source software toolkit for image-guided surgery

Code, Tracking * Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Design and Implementation of People Tracking Algorithms for Visual Surveillance Applications
* Fragments Tracker
* Learning the Statistics of People in Images and Video
* Tracker Fusion for Robustness in Visual Feature Tracking

Code, Viewing * *Lotus Hill Institute

Code, Visualization * *Mathematical Morphology
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Code, Wavelets * *Mega Wave
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Wavelab

Codebook * Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Vector Quantization Code Book Generation, Learning and Search (H3)

Coding * Coding -- Coding Theory, Communications, etc. (H2)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Reconstruction from Coded Images, Error Recovery (H3)

Colinear Lines * Colinear Line Segments (Collinear) (H
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)

Collections, Early * Books, Collections, Overviews, General, and Surveys (H)
* Early Collections of Articles (H2)

Collections, General * Books, Collections, Overviews, General, and Surveys (H)
* Collections -- General Computer Vision (H2)

Collections, Special Topics * Books, Collections, Overviews, General, and Surveys (H)
* Collections, Special Topics or Conferences (H2)

Collision Avoidance * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Obstacles, Collision, Other Vehicles, Objects on the Road (H3)
* Obstacles, Objects on the Road Using Radar, Sonar, Active Vision (H4)

Collision Detection * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Focus of Expansion and Other Features (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Obstacle Detection, Time to Collision Techniques (H2)
* Obstacles, Collision, Other Vehicles, Objects on the Road (H3)
* Obstacles, Objects on the Road Using Radar, Sonar, Active Vision (H4)
* Optical Flow Field Computations and Use (H)
* Railroads, Inspection, Obstacles (H3)
* Target Tracking, Collision Detection (H3)
* Translation Only (H2)
10 for Collision Detection

Color Clustering * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Defect Detection in Random Color Textures

Color Constancy * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Color Constancy, Recognition, Healey Papers (H3)
* Color Constancy, Recognition, Simon Fraser Univ. (Funt and Finlayson) Papers (H
* Color Constancy, Retinex (H2)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Reflectance Computations, Albedo (H2)
* Illumination-Invariant Matching of Deterministic Local Structure in Color Images, The
7 for Color Constancy

Color Cooccurrence Matrix * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Color Texture Segmentation for Clothing in a Computer-Aided Fashion Design System

Color Correction * Color Correction, Weather Effects (H3)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)

Color Histogram Matching * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Recognition by Color Indexing (H2)

Color Indexing * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Recognition by Color Indexing (H2)
* Automatic Detection of Human Nudes
* Finding Waldo, or Focus of Attention Using Local Color Information
* Image Retrieval Using Fuzzy Evaluation of Color Similarity
* Query by Image and Video Content: The QBIC System
7 for Color Indexing

Color Matching * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Recognition by Color Indexing (H2)

Color Models * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Color Models, Color Representation (H2)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Reflections and Color Models, Reflectance (H3)
* Flexible Color Point Distribution Models
* Region Competition and its Analysis: A Unified Theory for Image Segmentation

Color Perception, Survey * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Survey on Color: Aspects of Perception and Computation

Color Quantization * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Color Texture Segmentation for Clothing in a Computer-Aided Fashion Design System

Color Segmentation * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Color Applied to Segmentation (H1)
* Color Segmentation, Healey (H2)
* Complete Segmentation Systems Based on Ohlander Technique (H2)
* Color Pixels Classification in an Hybrid Color Space
* Computational Techniques in the Visual Segmentation of Static Scenes
* Detection of Defects in Colour Texture Surfaces
8 for Color Segmentation

Color * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Color and Its Use in Computer Vision (H1)
* Color Edge Detectors (H1)
* Color in Image Enhancement (H2)
* Color Textures and Texture with Color (H2)
* Color, General Issues (H2)
* Color, Multispectral Image Coding and Compression (H2)
* Complete Segmentation Systems Based on Ohlander Technique (H2)
* 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)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Face Analysis, Shading, Illumination and Color Variations (H2)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Finding Faces by Color Features (H3)
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Skin Color Models (H3)
* Textures and Color for Segmentation (H2)
* Tracking Faces, Heads Using Color Models (H3)
* Video Database Indexing, Color Analysis, Object Appearance (H4)
* Application of Color Information to Visual Perception
* ARGOS Image Understanding System, The
* Automatic Watershed Segmentation of Randomly Textured Color Images
* Color Image Processing for Navigation: Two Road Trackers
* Color Metric for Computer Vision, A
* Color Vision Cells Found in Visual Cortex
* Color-Encoded Structured Light for Rapid Active Ranging
* Computer Image Segmentation: Structured Merge Strategies
* Extracting Shape and Reflectance of Hybrid Surfaces by Photometric Sampling
* Face Detection and Gesture Recognition for Human-Computer Interaction
* From Image Measurements to Object Hypotheses
* Measurement Techniques for Spectral Characterization for Remote Sensing
* Picture Segmentation Using a Recursive Region Splitting Method
* Results Using Random Field Models for the Segmentation of Color Images
* Scene Segmentation by Cluster Detection in Color Space
* Semantic-Free Approach to 3-D Robot Color Vision, A
* vision system for automatic inspection of meat quality, A
43 for Color

Color, Edges * Color Edge Detectors (H1)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)

Color, Shape * 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Shape Using Color Images (H2)

Color, Transforms * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Production System for Region Analysis, A

Combination * Classifier Combination, Evaluation, Overview, Appliction Specific (H4)
* Decision Fusion (H3)
* Hierarchical Combination, Multi-Stage Classifiers (H4)
* Multiple Classifiers Applied to Arabic Numbers (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)

Comparisons * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Classifier, Performance Evaluation, Errors, Comparisons (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Experimental Comparison of Neural and Statistical Nonparametric Algorithms for Supervised Classification of Remote Sensing Images, An
* Experimental Comparison of Range Image Segmentation Algorithms, An

Complexity Analysis * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Faster Neighbor Finding on Images Represented By Bincodes

Compression * *Image and Video Compression
* *Still-Image Compression
* *Visual Communications and Image Processing '96
* *Visual Information Processing V
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Adaptive Coding Techniques (H2)
* Architectures and Systems for Matching for Block Coding, Block Motion Estimation (H4)
* AVC/H.264 Mode Selection (H4)
* Block Coding, Using Block Matching (H4)
* Books, Collections, Overviews, General, and Surveys (H)
* Coding -- Coding Theory, Communications, etc. (H2)
* Coding, Stereo, Disparity Maps, 3-D Shapes, Mesh (H2)
* Color Quantization of Images (H4)
* Computation and Matching for Block Coding, Block Motion Estimation (H4)
* Computation and Matching for Region Coding (H4)
* Computation for General Motion Compensation, Motion Estimation (H4)
* Computation for Motion Compensation, Block and Region Coding (H3)
* Computation for Vector Fields, Flow Fields (H4)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Computing Very Low Bitrate, 3-D and Object Based Coding (H4)
* Cosine Transform, DCT Compression (H2)
* Differential Pulse Code Modulation (DPCM) Coding (H
* Document Compression, Document Coding Systems and Techniques (H2)
* Entropy Based Vector Quantization (H3)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Fractal Based Coding and Compression, Fractal Coding, Fractal Compression (H3)
* General Rate-Quality, Rate Distortion, Rate Control, Error Tradeoffs for Video (H3)
* Global Motion Compensation (H4)
* H.264/AVC Issues, Advanced Video Coding (H4)
* Hierarchical, Multi-Level, Pyramidal Coding Techniques (H2)
* High Rate Compression, Low Bit Rate Compression, Region Based Coding (H2)
* Huffman Coding (H2)
* Image Compression, Coding (H1)
* JPEG 2000, Discussion, Generation, and Use, JPEG2000 (H4)
* JPEG Standards and Use (H3)
* Matching Pursuits, Video Coding (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Motion and Video Coding: General (H1)
* Motion and Video Coding: Hardware and Systems (H2)
* Motion Compensation for Coding (H4)
* Motion Compensation, Block, Region, Object, and Low Bit Rate Coding (H2)
* Moving Image Coding, Compression: Using Vector Fields, Flow Fields (H4)
* MPEG 4 Issues (H3)
* MPEG 7 Issues (H3)
* MPEG and Related Standard Coding Methods (H2)
* OCR, Document Analysis and Character Recognition Systems (H)
* Predictive, Adaptive Vector Quantization (H3)
* Quantization of Images (H3)
* Rate-Quality, Rate Distortion for DCT Coded Images, Wavelet Coding (H4)
* Rate-Quality, Rate Distortion, Rate Control, Error Tradeoffs for AVC/H.264 (H4)
* Set Partitioning in Hierarchical Trees (SPIHT) Coding (H
* Subband Coding Techniques (H3)
* Transform Coding -- General (H2)
* Using Arbitrary Region Coding (H4)
* Using Motion Compensation, Block and Region Coding (H3)
* Variable Size Blocks for Block Coding, Block Motion Estimation (H4)
* Vector Quantization Survey and General (H3)
* Vector Quantization with other Transform Coding Methods (H3)
* Vector Quantization, VQ, Applied to Motion and Video Coding (H2)
* Vector Quantization, VQ (H2)
* Very Low Bitrate, 3-D and Object Based Coding (H4)
* Wavelet Coding, Compression Applications, Hardware (H4)
* Wavelets for Image Coding -- Block, Region and Shape Based (H4)
* Wavelets for Image Coding -- Quantization Issues (H4)
* Wavelets for Image Coding -- Zero Tree Code (H4)
* Wavelets for Image Coding (H3)
* Wavelets for Motion and Video Coding (H3)
* Compression of Personal Identification Pictures Using Vector Quantization with Facial Feature Correction
* Digital Pictures: Representation, Compression, and Standards
* Extreme Compression of Weather Radar Data
* illumination invariant algorithm for subpixel accuracy image stabilization and its effect on MPEG-2 video compression, An
* Image Compression Using the 2-D Wavelet Transform
* Image Data Compression: Block Truncation Coding
73 for Compression

Compression, Binary Images * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Processing and Analysis of Binary (Two Level) Images (H

Compression, Color * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Color, Multispectral Image Coding and Compression (H2)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Compression of Color Image via the Technique of Surface Fitting

Compression, Model-Based * Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Model-Based Image-Coding: Advanced Video Coding Techniques for Very-Low Bit-Rate Applications

Compression, Stereo * Coding, Stereo, Disparity Maps, 3-D Shapes, Mesh (H2)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)

Compression, Video * *Digital Video Compression: Algorithms and Technologies 1995
* Architectures and Systems for Matching for Block Coding, Block Motion Estimation (H4)
* AVC/H.264 Mode Selection (H4)
* Block Coding, Using Block Matching (H4)
* Computation and Matching for Block Coding, Block Motion Estimation (H4)
* Computation and Matching for Region Coding (H4)
* Computation for General Motion Compensation, Motion Estimation (H4)
* Computation for Motion Compensation, Block and Region Coding (H3)
* Computing Very Low Bitrate, 3-D and Object Based Coding (H4)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Global Motion Compensation (H4)
* H.264/AVC Issues, Advanced Video Coding (H4)
* HDTV Issues, Coding, Transmission (H3)
* Motion and Video Coding: General (H1)
* Motion and Video Coding: Hardware and Systems (H2)
* Motion Coding, Evaluations, Surveys (H2)
* Motion Compensation for Coding (H4)
* Motion Compensation, Block, Region, Object, and Low Bit Rate Coding (H2)
* Moving Image Coding, Compression: Using Vector Fields, Flow Fields (H4)
* MPEG 4 Issues (H3)
* MPEG 7 Issues (H3)
* MPEG and Related Standard Coding Methods (H2)
* Transmission, Television, and Television Coding (H2)
* Using Arbitrary Region Coding (H4)
* Using Motion Compensation, Block and Region Coding (H3)
* Variable Size Blocks for Block Coding, Block Motion Estimation (H4)
* Very Low Bitrate, 3-D and Object Based Coding (H4)
* Method of Coding TV Signals Based on Edge Detection, A
29 for Compression, Video

Computational Vision * Books, Collections, Overviews, General, and Surveys (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* General Computational Vision (H1)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Bayesian-approach to Binocular Stereopsis, A
* From Pixels to Predicates
* Ill-Posed Problems and Regularization Analysis in Early Vision
7 for Computational Vision

Computational Vision, Survey * Books, Collections, Overviews, General, and Surveys (H)
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Computational Approaches to Image Understanding
* Computational Vision
* Integration of Visual Modules: An Extension of the Marr Paradigm

Concavity * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Concavity Detection (H3)

Conference Reports * Books, Collections, Overviews, General, and Surveys (H)
* Other Conference Listings or Special Issues (H1)

Conferences * Conference Names (H1)

Connected Components * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Extraction and Analysis of Connected Components and Boundaries (H1)
* Sequential Operations in Digital Picture Processing

Connection Machine * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Object Recognition Using the Connection Machine
* Parallel Integration of Vision Modules
* Recognition Algorithms for the Connection Machine

Connectionist * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Connectionist Approaches to Computer Vision (H1)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Connectionist Approach for Gray Level Image Segmentation, A
* Symbolic Mapping of Neurons in Feedforward Networks

Connectivity * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Efficient Evaluations of Edge-Connectivity and Width Uniformity

Constraint Satisfaction * Continuous Relaxation Theory (H3)
* Discrete Relaxation Methods (H2)
* Discrete Relaxation Theoretical Issues (H3)
* Evidence Theory, Combination Techniques, Optimization Techniques (H3)
* Faugeras and Berthod Gradient Optimization Methods (H3)
* General Structure and Graph Representation and Matching (H2)
* Graph Matching Theoretical Issues (H2)
* Graph Matching, Continuous Relaxation (H2)
* Graph Matching, Neural Networks, Hopfield Networks (H2)
* Hummel and Zucker Relaxation Papers (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Matching Using Tree Searching Techniques (H2)
* Shmuel Peleg Theoretical Relaxation Papers (H3)
* Linear Programming Approach to Max-Sum Problem: A Review, A
* Model Based Pose Estimation of Articulated and Constrained Objects
15 for Constraint Satisfaction

Constraint Satisfaction, Survey * Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Algorithms for Constraint-Satisfaction Problems: A Survey

Context * Context and Structure for Classification (H2)
* Context in Computer Vision (H2)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Interpretation of Remotely Sensed Images in a Context of Multisensor Fusion

Contour Completion * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Contour Completion, Subjective Contours (H3)

Contour Matching * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Contours Through a Sequence (H3)
* Hierarchical/Scale-Space Contour Matching and Descriptions (H3)
* Partial Contour Matching, Piecewise Segments (H3)
* Piecewise Segment Matching of Contours (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Snakes, Matching Deformable Contours (H3)
* String Matching, Syntatic Matching (H3)
* Tracking Applied to Heart Images (H3)
* Tracking Deformable Shapes (H3)
10 for Contour Matching

Contour Tracing * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Contour Representation of Binary Images Using Run-type Direction Codes

Contours * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings (H)
* Optical Flow Along Contours (H2)
* Optical Flow Field Computations and Use (H)
* Surface and Shape from Contours or Silhouettes (H1)
* Waveform and Contour Analysis (H2)

Contrast Enhancement * Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Image Enhancement for Display, Printers (H3)

Contrast * Contrast Enhancement (H2)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)

Convex Hull * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Convex Hull Algorithms and Convexity Analysis (H2)
* Convex Hull of Polygons (H3)

Convex Polygon * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* On Limit Properties in Digitization Schemes

Convexity * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Convex Hull Algorithms and Convexity Analysis (H2)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Morphological Decomposition of 2-D Binary Shapes into Conditionally Maximal Convex Polygons

Convolution * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Implementation of Convolution and Smoothing Techniques (H3)

Cooperating Robots * Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Coordinating Motion of Cooperative Mobile Robots Through Visual Observation

Corner Detection * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Direct Curvature Scale Space: Theory and Corner Detection

Corner Detector * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Corner Feature Detection Techniques and Use (H3)
* Curvature, Corners, Dominant Points, Salient Points, Junctions (H3)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Local Symmetries of Digital Contours from Their Chain Codes
* Role of Key-Points in Finding Contours, The
* Steerable-Scalable Kernels for Edge Detection and Junction Analysis
* Volumetric Model and 3D Trajectory of a Moving Car from Monocular TV Frames Sequence of a Street Scene
10 for Corner Detector

Corner Detector, Evaluation * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Corner Detection Using the Facet Model

Correlation Matching * Correlation Based and Signal Matching Techniques (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Cortex * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Brain, Cortex, Brain Waves, EEG Analysis (H2)
* Brain, Cortex, MRI Analysis, Models, 3-D (H2)
* Brain, Cortex, MRI Segmentation (H3)
* Brain, Cortex, Registration, MRI, Other (H3)
* Medical Applications -- Brain, Cortex Applications (H1)
* Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models (H)
* Cortical Surface Reconstruction Using a Topology Preserving Geometric Deformable Model
8 for Cortex

Cosine Transform * 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Cosine Transform, DCT Compression (H2)
* DCT Block Coding -- Block Artifacts in DCT (H4)
* DCT Computation (H3)
* Filters, Image Processing, Restoration, Enhancement, Image and Video Coding (H)

Covariance Propagation * Books, Collections, Overviews, General, and Surveys (H)
* Propagating Covariance in Computer Vision

Cracks * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Markov Fusion of a Pair of Noisy Images to Detect Intensity Valleys

CRULE * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Novel Approach to Colour Constancy, A

Cursive Character Recognition * Cursive Script Recognition Systems (H3)
* Cursive Script, Word Level Recognition, Language Model (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
* On-Line Cursive Script Recognition Systems (H4)

Cursive Script * OCR, Document Analysis and Character Recognition Systems (H)
* On-Line Cursive Word Recognition System, An
* Recognizing Off-Line Cursive Handwriting

Curvature Analysis * Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* DEM, Surface Analysis for Ridges and Streams, Drainage, Depressions (H2)

Curvature Three-Dimensional * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Generic Curvature Features from 3-D Images

Curvature * Curvature, Corners, Dominant Points, Salient Points, Junctions (H3)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Features for Contour Matching (H3)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)

Curvature, Surfaces * 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Curvature and Features of Surfaces and Range Data (H2)

Curve Description * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Local Symmetries of Digital Contours from Their Chain Codes

Curve Evolution * 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Active Contours, Snakes or Deformable Curves (H2)
* Snakes, Algorithms for Computation (H3)
* Snakes, Applications (H3)
* Snakes, General Techniques and Descriptions (H3)
* Snakes, Restricted Curves, Splines, etc. (H2)

Curve Partitions * Basic Algorithms to Partition Curves, The Early Days (H2)
* Basic Algorithms to Partition Curves (H2)
* Curve Partitions, Applied to Chain Codes (H3)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* Generation of Straight Line Segments or Curve Partitions (H1)
* Parallel Algorithms, Curve Partition (H3)

Curve Representations * Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* Generalized Uniqueness Wavelet Descriptor for Planar Closed Curves, The

Curve Segmentation * Basic Algorithms to Partition Curves, The Early Days (H2)
* Basic Algorithms to Partition Curves (H2)
* Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)

Curves, General * Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform (H)
* General Systems for Lines and Curves (H2)

Cut Detection * Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Video Analysis, Cut Detection, Scene Segmentation, Shot Detection, Shot Boundary (H3)

Cylic Motion * Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Cyclic Motion Detection for Motion Based Recognition

Index for "d"

Last update:27-Aug-08 16:05:22
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