Handbook of Computer Vision and Applications: Signal processing and pattern recognition, Volume 2Bernd Jähne, Horst Haussecker, Peter Geissler CD-ROM files contain complete text of all three print vols., as well as hyperlinks to figures, tables, etc. and between the index and the text. Also included are hyperlinks to movies, interactive 3-D models, demonstration software and other materials not contained in the print version. |
Common terms and phrases
algorithm analysis anisotropic aperture problem applied approach averaging B-spline binomial filter box filters camera cell Chapter complex components Computer Vision convolution coordinate corresponding defined denotes derivative filter diffusion filtering direction discrete discussed distance edge eigenvalues epipolar equation error estimate example factor Figure filter coefficients filter mask first-order flow field Fourier domain Fourier transform Gabor filter Gaussian given gradient gray values grid IEEE image processing interpolation irradiance isotropic kernel lattice least squares linear matrix measure motion multiplication neighborhood operation normalized object optical flow optimal orientation parameter Pattern phase pixels point spread function problem Proc properties quadrature filter reconstruction recursive filter representation sampling scale scale-space Section shift signal processing smoothing solution space spatial stereo structure tensor surface symmetry techniques texture theorem tion trans transfer function vector vergence wave number window function zero