Katsushi Ikeuchi:
Computer Vision, A Reference Guide. Springer 2014, ISBN
978-0-387-30771-8 Action Prototype Trees. 1-5
Action Recognition. 5
Active Camera Calibration. 5
Active Contours. 5
Active Vision. 13
Activity Analysis. 13
Adaptive Boosting. 19
Adaptive Gains. 19
Affine Alignment. 19
Affordances. 25
Analytic Reflectance Functions. 31
Anisotropic Diffusion. 36
Aperture Ghosting. 36
Appearance Scanning. 36
Appearance-Based Pedestrian Detection. 40
Articulated Pose Estimation. 40
Automatic Gait Recognition. 42
Automatic Scale Selection. 42
Automatic White Balance (AWB). 42
Backscattering. 43
Behavior Understanding. 46
Blackbody Radiator. 52
Blur Kernel Estimation. 59
Body Configuration Recovery. 59
Boundary Extraction. 64
BRDF Measurement. 64
BRDF Models. 64
Calculus of Variations. 65
Stephen Lin:
Calibration of Radiometric Falloff (Vignetting). 74-76 Camera Parameters (Internal, External). 81
Camera Response Function. 85
Camera-Shake Blur. 85
Catoptrics. 89
CIE Standard Illuminant. 100
Clifford Algebra. 100
Clipping. 100
Cluster Sampling. 100
Coefficient Rule. 100
Cognitive Agent. 100
Color Adaptation. 109
Color Appearance Models. 109
Color Balance. 109
Color Difference. 116
Color Discrepancy. 116
Color Dissimilarity. 116
Color Management. 116
Color Specification Systems. 132
Compressed Sensing. 132
Computer Vision. 145
Computing Architectures for Machine Perception. 145
Concept Languages. 145
Concurrent Mapping and Localization (CML). 146
Conditional Random Fields. 146
Contour Detection. 146
Convex Minimization. 146
Cook-Torrance BRDF. 146
Coplanarity Constraint. 152
Curvedness. 159
Curves. 159
Deconvolution. 171
Dehazing. 174
Dense 3D Modeling. 179
Depth from Scattering. 186
Depth Imaging. 186
Differential Geometry of Graph Spaces. 193
Jan J. Koenderink:
Differential Geometry of Surfaces in Three-Dimensional Euclidean Space. 193-201 Diffuse Shading. 210
Diffusely Scattered Reflectance. 210
Diffusion. 210
Diffusion PDEs. 212
Digital Matting. 212
Dimension Reduction. 218
Dimensional Compression. 218
Dimensional Embedding. 218
Dioptrics. 221
Discrete AdaBoost. 221
Disocclusion. 229
Distance Estimation. 229
Dual Differential Geometry. 229
Dynamic Optimization. 229
Ellipse Matching. 247
EM-Algorithm. 247
Environment Mapping. 247
Error Concealment. 258
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