This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who are considering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.

Table of Contents

• Preface
• Editor's Biography
• List of Contributors
• A
• Action Prototype Trees
• Action Recognition
• Active Calibration
• Active Camera Calibration
• Active Contours
• Active Sensor (Eye) Movement Control
• Active Stereo Vision
• Active Vision
• Activity Analysis
• Activity Recognition
• AdaBoost
• Adaptive Boosting
• Adaptive Gains
• Affine Alignment
• Affine Camera
• Affine Invariants
• Affine Projection
• Affine Registration
• Affordances
• Affordances and Action Recognition
• Algebraic Curve
• Algebraic Surface
• Analytic Reflectance Functions
• Animat Vision
• Anisotropic Diffusion
• Aperture Ghosting
• Appearance Scanning
• Appearance-Based Human Detection
• Appearance-Based Human Tracking
• Appearance-Based Pedestrian Detection
• Articulated Pose Estimation
• Asperity Scattering
• Automatic Gait Recognition
• Automatic Scale Selection
• Automatic White Balance (AWB)
• B
• Backscattering
• Bas-Relief Ambiguity
• Behavior Understanding
• Bidirectional Texture Function and 3D Texture
• Blackbody Radiation
• Blackbody Radiator
• Blind Deconvolution
• Blur Estimation
• Blur Kernel Estimation
• Body Configuration Recovery
• Boundary Detection
• Boundary Extraction
• BRDF Measurement
• BRDF Models
• C
• Calculus of Variations
• Calibration
• Calibration of a Non-single Viewpoint System
• Calibration of Multi-camera Setups
• Calibration of Projective Cameras
• Calibration of Radiometric Falloff (Vignetting)
• Camera Calibration
• Camera Extrinsic Parameters
• Camera Model
• Camera Parameters (Internal, External)
• Camera Parameters (Intrinsic, Extrinsic)
• Camera Pose
• Camera Response Function
• Camera-Shake Blur
• Catadioptric Camera
• Catoptrics
• Center of Projection
• Change Detection
• Chromaticity
• CIE Standard Illuminant
• Clifford Algebra
• Clipping
• Cluster Sampling
• Coefficient Rule
• Cognitive Agent
• Cognitive System
• Cognitive Vision
• Color Adaptation
• Color Appearance Models
• Color Balance
• Color Constancy
• Color Difference
• Color Discrepancy
• Color Dissimilarity
• Color Management
• Color Model
• Color Similarity
• Color Spaces
• Color Specification Systems
• Compressed Sensing
• Compressive Sensing
• Computational Symmetry
• Computer Vision
• Computing Architectures for Machine Perception
• Concept Languages
• Concurrent Mapping and Localization (CML)
• Conditional Random Fields
• Contour Detection
• Convex Minimization
• Cook-Torrance BRDF
• Cook-Torrance Model
• Coplanarity Constraint
• Corner Detection
• Cross Entropy
• Curvature
• Curvedness
• Curves
• Curves in Euclidean Three-Space
• D
• Data Augmentation
• Data Fusion
• Deblurring
• Deconvolution
• Defocus Blur
• Dehazing
• Dehazing and Defogging
• Denoising
• Dense 3D Modeling
• Dense Reconstruction
• Depth Distortion
• Depth Estimation
• Depth from Scattering
• Depth Imaging
• Descattering
• Description Logics
• Dichromatic Reflection Model
• Differential Geometry of Graph Spaces
• Differential Geometry of Surfaces in Three-Dimensional Euclidean Space
• Differential Invariants
• Diffuse Reflectance
• Diffuse Shading
• Diffusely Scattered Reflectance
• Diffusion
• Diffusion Filtering
• Diffusion PDEs
• Digital Matting
• Digitization
• Dimension Reduction
• Dimensional Compression
• Dimensional Embedding
• Dimensionality Reduction
• Dioptrics
• Discrete AdaBoost
• Discriminative Random Fields
• Disocclusion
• Distance Estimation
• Dual Differential Geometry
• Dynamic Optimization
• Dynamic Programming
• E
• Edge Detection
• Eigenspace Methods
• Eight-Point Algorithm
• Ellipse Fitting
• Ellipse Matching
• EM-Algorithm
• Environment Mapping
• Epipolar Constraint
• Epipolar Geometry
• Error Concealment
• Error-Correcting Graph Matching
• Error-Tolerant Graph Matching
• Essential Matrix
• Euclidean Geometry
• Evolution of Robotic Heads
• Expectation Maximization Algorithm
• Exploration: Simultaneous Localization and Mapping (SLAM)
• Extended Gaussian Image (EGI)
• Extrinsic Parameters
• F
• Face Identification
• Face Modeling
• Face Reconstruction
• Factorization
• Feature Reduction
• Feature Selection
• Field of View
• Field of Vision
• Filling In
• Fisher-Rao Metric
• Fisheye Camera
• Fisheye Lens
• Fluorescent Lighting
• Focal Length
• Focus Bracketing
• Foreground-background Assignment
• Fresnel Conditions
• Fresnel Equations
• Fresnel's Law
• Fundamental Matrix
• G
• Gait Analysis
• Gait Biometrics
• Gait Recognition
• Gamut Mapping
• Gaze Control
• Generalized Bas-Relief (GBR) Transformation
• Generic Object Recognition
• Generically Describable Situation
• Geodesic Active Contour
• Geodesics, Distance Maps, and Curve Evolution
• Geometric Algebra
• Geometric Calibration
• Geometric Fusion
• Geons
• Gesture Recognition
• Gradient Vector Flow
• GVF
• H
• Hand-Eye Calibration
• Hazard Detection
• Heterogeneous Parallel Computing
• High-Performance Computing in Computer Vision
• Histogram
• Human Appearance Modeling and Tracking
• Human Motion Classification
• Human Pose Estimation
• I
• ICP
• Illumination Estimation, Illuminant Estimation
• Image Alignment
• Image Decompositions
• Image Enhancement and Restoration
• Image Inverse Problems
• Image Mosaicing
• Image Plane
• Image Registration
• Image Stitching
• Image-Based Lighting
• Image-Based Modeling
• Image-Based Rendering
• Image-Based Rendering (IBR)
• Implicit Polynomial Curve
• Implicit Polynomial Surface
• Incident Light Measurement
• Inexact Matching
• Information Fusion
• Inherent Optical Properties
• Inpainting
• Interactive Segmentation
• Interface Reflection
• Interpretation of Line Drawings
• Interreflections
• Intrinsic Images
• Intrinsic Parameters
• Intrinsics
• Inverse Compositional Algorithm
• IP Camera
• Irradiance
• Isotropic Differential Geometry in Graph Spaces
• Iterative Closest Point (ICP)
• Ives Transform
• K
• Kalman Filter
• Kalman-Bucy Filter
• Karhunen–Loève Transform (KLT)
• Kernel Estimation
• KF
• Kinematic Chain Motion Models
• Kinematic Motion Models
• L
• Labeling
• Lambertian Model
• Lambertian Reflectance
• Lambert's Law
• Learning from Partial Labels
• Lens Distortion Correction
• Lens Distortion, Radial Distortion
• Lens Flare
• Lens Flare and Lens Glare
• Light Field
• Light Transmission and Reflection Coefficients
• Line Drawing Labeling
• Linear Programming
• Linguistic Techniques for Event Recognition
• Local Invariants
• LP
• Lumigraph
• M
• Machine Recognition of Objects
• Many-to-Many Graph Matching
• Matte Extraction
• Maximum Likelihood Estimation
• Maximum Likelihood Estimator
• Mesostructure
• Methods of Image Recognition in a Low-Dimensional Eigenspace
• Microgeometry
• Micro Scale Structure
• Mirrorlike Reflection
• Mirrors
• Mobile Observers
• MoCap
• Model-Based Object Recognition
• Monte Carlo Annealing
• Morphology, Form Analysis
• Motion Blur
• Motion Capture
• Motion Capturing
• Motion Deblurring
• Motion Tracking
• Multi-baseline Stereo
• Multi-camera Calibration
• Multi-camera Human Action Recognition
• Multi-focus Images
• Multimedia Retrieval
• Multiple Similarity Method
• Multiple View Geometry
• Multiple View Stereo
• Multiplexed Illumination
• Multiplexed Sensing
• Multisensor Data Fusion
• Multiview Geometry
• Multiview Stereo
• Mutual Illumination
• N
• Network Camera
• Noise Removal
• Non-central Camera Calibration
• Nonlinear Diffusion
• Normalcy Modeling
• Numerical Methods in Curve Evolution Theory
• Numerical Partial Differential Equations
• O
• Object Class Recognition (Categorization)
• Object Detection
• Object Extraction
• Object Models
• Object Motion Blur
• Object Parameterizations
• Object Recognition
• Object Representations
• Object Segmentation
• Obstacle Detection
• Occlusion Boundaries from Motion
• Occlusion Boundaries from Stereo Matching
• Occlusion Detection
• Occlusion Handling
• Omnidirectional Camera
• Omnidirectional Vision
• Opacity
• Opaque
• Optic Flow
• Optical Axis
• Optical Center
• Optical Flow
• Optimal Estimation
• Optimal Parameter Estimation
• Oren-Nayar Reflectance Model
• Osculating Paraboloids
• Osculating Quadric
• Out of Focus Blur
• P
• Panoramic Camera
• Panoramic Image Generation
• Panoramic Stitching
• Pan-Tilt Camera Calibration
• Pan-Tilt-Zoom (PTZ) Camera
• Pan-Tilt Camera Calibration
• Parametric Curve
• Parametric Surface
• Partitioning
• Penumbra and Umbra
• Performance Capture
• Perspective Camera
• Perspective Projection
• Perspective Transformation
• Phong Model
• Phong Reflectance Model
• Photo-Consistency
• Photogrammetry
• Photometric Consistency Function
• Photometric Invariants
• Photometric Stereo
• Photon, Poisson Noise
• Picture Understanding
• Piecewise Polynomial
• Pinhole Camera
• Pinhole Camera Model
• Planckian Locus
• Plane Sweeping
• Plenoptic Function
• Point Spread Function Estimation
• Polarization
• Polarization Filter
• Polarized Light in Computer Vision
• Polarizer
• Polarizing Film
• Principal Axis
• Principal Component Analysis (PCA)
• Principal Distance
• Probabilistic Hill Climbing
• Projection
• Projection Matrix
• Projection Transformation
• Projective Reconstruction
• Projective Structure and Motion
• Prototype-Based Methods for Human Movement Modeling
• PSF Estimation
• PTZ Camera Calibration
• Pulling a Matte
• Purposive Vision
• R
• Radiance
• Radiometric Calibration
• Radiometric Camera Calibration
• Radiometric Response Function
• Rao Metric
• Rationale for Computational Vision
• Recognition-By-Components (RBC) Theory
• Recovery of Reflectance Properties
• Reference Plane
• Reflectance Map
• Reflectance Models
• Reflection Mapping
• Reflectometry
• Relation Between Objects and Their Digital Images
• Relief Texture
• Retina
• Retinex Algorithm
• Retinex Theory
• Retroreflection
• Rigid Alignment
• Rigid Matching
• Rigid Positioning
• Rigid Registration
• Rigid Transformation Estimation
• Robot-Camera Calibration
• Robust Clustering
• Robust Methods
• Robust Regression
• S
• Saturation (Imaging)
• Scale Selection
• Scale-Invariant Image Features and Image Descriptors
• Scene/Image Parsing
• Schott Noise
• Second Order Approximation
• Segmentation
• Semantic Image Segmentation
• Semiautomatic
• Semidefinite Optimization
• Semidefinite Programming
• Sensor Fusion
• Shadow
• Shape from Outlines of Projection
• Shape from Scatter
• Shape from Shadows
• Shape from Silhouette
• Shape from Specular Reflections
• Shape from Specularities
• Shock Graph
• Shot Noise
• Simulated Annealing
• Single Viewpoint
• Situation Graph Trees
• Situation Scheme
• Solid Texture
• Space Curves
• Sparse Coding
• Sparse Representation
• Spatiotemporal Reasoning
• SPDE
• Specular Highlight
• Specularity, Specular Reflectance
• Spherical Camera
• Splines
• Standard Illuminants
• Statistical Cooling
• Statistical Independence
• Statistical Shape Analysis
• Stochastic Differential Equations in Infinite Dimensions
• Stochastic Partial Differential Equations
• Stochastic Relaxation
• Structure-from-Motion (SfM)
• Subpixel Estimation
• Subspace Methods
• Superresolution
• Surface Corrugations
• Surface Orientation Histogram (Discrete Version of EGI)
• Surface Reconstruction
• Surface Roughness
• Surface Scattering
• Surface Undulations
• Surfaces
• Surveillance Camera
• SW Cut
• Swendsen-Wang Algorithm
• Swendsen-Wang Cut Algorithm
• Symmetry Detection
• Symmetry-Based X
• T
• Terminological Logics
• Texture Classification
• Texture Recognition
• Thermal Radiator
• Three Dimensional Descriptor
• Three Dimensional Estimation
• Three Dimensional Face Modeling
• Three Dimensional Modeling from Images
• Three Dimensional Reconstruction
• Three Dimensional Shape Descriptor
• Three Dimensional View Integration
• Total Variation
• Tracker-Camera Calibration
• Transparency
• Transparency and Translucency
• Transparent Layers
• Transportation Problem
• Trichromatic Theory
• Two Dimensional Conditional Random Fields
• U
• Underwater Effects
• Underwater Light Field
• Underwater Radiative Transfer Processes
• User-Assisted
• User-Guided
• V
• Variable Selection
• Variational Analysis
• Variational Method
• Variational Methods
• Veiling Glare
• Velvety Reflectance
• Video Alignment and Stitching
• Video Mosaicing
• Video Mosaicking
• Video Retrieval
• Video Search
• View and Rate-Invariant Human Action Recognition
• Vignetting
• Vignetting Estimation
• Viscosity Solution
• Visibility Enhancement in Bad Weather
• Vision-Based Control
• Vision-Based Feedback
• Visual Cognition
• Visual Cortex Models for Object Recognition
• Visual Hull
• Visual Inference
• Visual Patterns
• Visual Servoing
• Visual SLAM
• Volumetric Texture
• von Kries Hypothesis
• von Kries-Ives Adaptation
• W
• Weak Perspective Projection
• Weakly Supervised Learning
• White Balance
• White Point
• Wide Baseline Matching
• Wide Field of View Stereo Matching
• Wide-angle Camera