O'Reilly
* Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection (H)
* Learning OpenCV Computer Vision with the OpenCV Library
Object-Oriented Programming
* Books, Collections, Overviews, General, and Surveys (H)
* Pattern Recognition and Image Processing in C++
Object Descriptions
* Learning Object Descriptions, Object Recognition (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
Object Matching
* Computing Very Low Bitrate, 3-D and Object Based Coding (H4)
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Very Low Bitrate, 3-D and Object Based Coding (H4)
Object Recognition
* 3-D Object Recognition from Pose Estimation or Alignment (H2)
* 3-D Object Recognition Using Invariants (H2)
* ACRONYM and SUCCESSOR Papers - Stanford University and Others (H2)
* Active Appearance Models - AAM (H3)
* Aspect Graph Matching -- Bowyer (H3)
* Aspect Graph Matching -- Ikeuchi (H3)
* Aspect Graph Matching, Characteristic Views (H2)
* Aspect Graphs, Matching Systems (H3)
* Associative Memory for Matching and Recognition (H3)
* Basic Comparison of Relational Network Descriptions (H2)
* Context in Computer Vision (H2)
* Discrete Relaxation Methods (H2)
* General Structure and Graph Representation and Matching (H2)
* Graph Matching and Relaxation (H1)
* Graph Matching, Continuous Relaxation (H2)
* Graph Matching, Neural Networks, Hopfield Networks (H2)
* Grimson Object Recognition Papers (H3)
* Invariance Papers -- Mundy (H3)
* Invariants -- Eigen Representations, General Appearance Based Methods (H2)
* Invariants -- Independent Component Analysis (H3)
* Invariants -- Linear Discriminant Analysis, Fisher Linear Discriminant (H3)
* Invariants -- Principal Component Analysis (H3)
* Invariants, General Issues and Techniques (H3)
* Knowledge-Based Vision (H1)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
* Matching Graphs and 3-D Network Descriptions (H2)
* Matching Using Accumulation and Alignment Schemes (H2)
* Matching Using Tree Searching Techniques (H2)
* Model Based Recognition Systems (H2)
* Object Recognition, General Techniques (H1)
* Recognition by Function (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Rule-Based or Expert Systems for Recognition (H2)
* Three-Dimensional Matching Using Hashing/Indexing (H2)
* University of Massachusetts VISIONS System (H2)
* Computational Approaches for Processing and Analysis of Tactile Information
* Recognizing 3D Objects Using Tactile Sensing and Curve Invariants
37 for Object Recognition
Object Segmentation
* Extract Moving Objects from Sequences (H2)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Obstacle Avoidance
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Reactive Locomotion Control of a Tracked Mobile Manipulator
Obstacle Detection
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (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)
Obstacle Dtection
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Specialized Multibaseline Stereo Technique for Obstacle Detection, A
Occlusions
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Target Tracking Techniques, Occlusions, Clutter (H4)
Occupancy Grids
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Occupancy Grids, Voxels (H2)
OCR
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* 2-D Region Segmentation Techniques, Snakes, Active Contours (H)
* Arabic Characters, Including Farsi, Persian (H3)
* Arabic Numbers, Digits, Handwritten (H3)
* Character Recognition Survey, Overview, Evaluations (H2)
* Character Recognition Systems -- Korean Characters, Hangul (H2)
* Character Recognition Systems (H1)
* Chinese and Kanji Characters (H2)
* Chinese Characters, Handwritten (H3)
* Chinese Characters, Review, Survey, Evaluations (H3)
* Chinese Characters, Using Stroke and Radical Analysis (H3)
* Devanagari, Indic, Hindu, Bangla, Bengali, Telugu, Characters (H3)
* Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics (H)
* Formulas, Equations, Mathematical Expressions (H3)
* General Character Recognition Issues (H2)
* Hidden Markov Models, HMM (H3)
* License Plate Recognition, Extraction, Analysis (H3)
* Mail -- Addresses, Document Analysis (H2)
* Money and Check Processing -- Amounts, etc. (H2)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Multiple Classifiers Applied to Arabic Numbers (H4)
* Neural Networks for Numbers and Digits (H4)
* Numbers, Digits, Zip (Postal) Codes (H
* OCR Evaluations (H2)
* OCR Systems, General (H3)
* OCR, Document Analysis and Character Recognition Systems (H)
* Online Recognition of Chinese Characters (H3)
* Other Character Sets (H2)
* Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms (H)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Roman Alphabet -- Machine Printed (H3)
* Roman Alphabet (H2)
* Bayesian Framework for Deformable Pattern Recognition with Application to Handwritten Character Recognition
* Evaluation of Pattern Classifiers for Fingerprint and OCR Applications
* IBM 1975 Optical Page Reader, Part II: Video Thresholding, The
* Image Thresholding for Optical Character Recognition and Other Applications Requiring Character Image Extraction
* Segmentation of Document Images
* Skeletonization for Fuzzy Degraded Character Images
* Statistical Syntactic Methods for High-Performance OCR
* What Size Test Set Gives Good Error Rate Estimates?
40 for OCR
Oct-tree
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions (H
Octree
* 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing (H)
* Oct-Trees (or Octrees) and Voxels for Three-Dimensional Descriptions (H
* Oct-Trees -- Theoretical Issues (H2)
* Oct-Trees -- Use (H2)
* Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces (H)
* Recovering the Position and Orientation of Free-Form Objects from Image Contours Using 3D Distance Maps
* Survey of Construction and Manipulation of Octrees, A
7 for Octree
Omnidirectional Sensors
* Catadioptric Cameras (H4)
* 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)
* Omnidirectional and Panoramic Sensors (H3)
* Telepresence by Real-Time View-Dependent Image Generation from Omnidirectional Video Streams
Omnidirectional
* Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following (H)
* Catadioptric, Omnidirectional Camera Calibration (H3)
Online Recognition
* OCR, Document Analysis and Character Recognition Systems (H)
* Online Recognition of Chinese Characters (H3)
Online Systems
* Handwritten Characters, Cursive Script, Surveys, Data, Comparisons (H4)
* OCR, Document Analysis and Character Recognition Systems (H)
* On-Line Cursive Script Recognition Systems (H4)
* Online Recognition of Handwritten Characters (H4)
Optic Flow
* Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar (H)
* First Order Optic Flow from Log-Polar Sampled Images
Optical Flow
* 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)
* Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities (H)
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
* Motion with Optical Flow and Depth (H2)
* Optic Flow Computation and Use, Other Approaches (H1)
* Optical Flow Along Contours (H2)
* Optical Flow Field Computation -- General Issues (H1)
* Optical Flow Field Computation and Analysis (H1)
* Optical Flow Field Computations and Use (H)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
* Active Recovery of 3D Motion Trajectories and Their Use in Prediction, The
* Computation of Cloud-base Height from Paired Whole-Sky Imaging Cameras, The
* Determining Optical Flow
* Generalized Image Matching by the Method of Differences
* Interpretation of a Moving Retinal Image, The
* On the Estimation of Optical Flow: Relations between Different Approaches and Some New Results
* Physically-Based Adaptive Preconditioning for Early Vision
* Recognizing Functionality
19 for Optical Flow
Optical Flow, Binocular
* 3-D Translational Motion and Structure from Binocular Image Flows
* Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion (H)
Optical Flow, Boundaries
* Optical Flow Field -- Boundaries (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Contours
* Optical Flow Along Contours (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Discontinuous
* Discontinuous Optic Flow Computation, Occlusions (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Evaluation
* Error Analysis, Evaluation for Optical Flow (H1)
* Optical Flow Field Computations and Use (H)
* Analysis of Differential and Matching Methods for Optical Flow
* Gradient Based Estimation of Disparity
* Motion Segmentation and Estimation by Constraint Line Filtering
* On the Information in Optical Flows
Optical Flow, Features
* Egomotion or Ego Motion Computation from Flow Fields (H2)
* Focus of Expansion and Other Features (H2)
* Optical Flow Field Computations and Use (H)
* Point Matching for Optical Flow Computation (H2)
Optical Flow, Gradient Based
* Optical Flow Field Computation -- Gradient Techniques (H2)
* Optical Flow Field Computations and Use (H)
* Lower-level Estimates and Interpretation of Visual Motion
Optical Flow, Multigrid
* Optical Flow -- Hierarchical, Multi-Grid, Multi-Scale Approaches (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Multiple Layers
* Optical Flow Field -- Boundaries (H2)
* Optical Flow Field -- Multiple Flows, Transparent Layers, Motion Layers (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Multiple Motion
* Optical Flow Field Computations and Use (H)
* Layered Representation for Motion Analysis
Optical Flow, Occlusions
* Discontinuous Optic Flow Computation, Occlusions (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Parallel
* Optical Flow Field Computations and Use (H)
* Real-Time, Parallel Optic Flow Computation (H2)
Optical Flow, Regions
* Optical Flow -- Matching Using Areas (H2)
* Optical Flow Field Computations and Use (H)
Optical Flow, Smoothing
* Optical Flow Field -- Smoothness (H1)
* Optical Flow Field Computations and Use (H)
Optical Flow, Translation
* Optical Flow Field Computations and Use (H)
* Optical Flow for Simple Motions (H2)
Optics
* Image Processing, Restoration, Enhancement, Filters, Image and Video Coding (H)
* Optical Filtering (H2)
Optimization Techniques
* Evidence Theory, Combination Techniques, Optimization Techniques (H3)
* Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants (H)
Order Statistics
* 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture (H)
* Order Statistics, Rank Statistics, Filters (H3)
Orthogonal views
* Representations from Orthogonal or Multiple Views (H2)
* Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular (H)
Orthoimage
* Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR (H)
* Orthoimage Generation, Analysis, DEM (H2)
Overviews
* Books, Collections, Overviews, General, and Surveys (H)
* General Group Overview Papers (H1)