Intelligent robots and computer vision: sixth in a series, 2-6 November 1987, Cambridge, Massachusetts
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MODELBASED OBJECT RECOGNITION
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algorithm analysis angle applications architecture array Artificial Intelligence assembly associative memory binary boundary calibration camera cell centroid Computer Vision Connection Machine constraints contour coordinate correlation corresponding curvature curve curve-segment database defined described detection determine dimensional distance edge edge detection elements equation error estimate example extraction feature extraction filter function Gaussian geometric graph hierarchy Hough transform hypothesis IEEE image processing implementation input Intelligence interpolation key vectors line segments linear matching matrix measure Mellin transform method modules morphological nodes noise object recognition obtained operation optical flow orientation output pair parallel pattern recognition performance pixels planar plane prediction problem Proc processor range image recollection vectors reconstruction region representation robot rotation sampling scan scene sensor shape solution locus spatial stereo stereo vision structure superquadrics surface task techniques Template Processor texture threshold values vision system visual