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Machine Vision and Perceptual Organisation
A Computational Approach
12 other sections not shown
3D shape Additionally anti-perceptions approach aspects of perceptual boundary bounding envelope calculated closure complex Computer Vision constraints continuity variance convex hull corresponds curvature curve data points defined demonstrated edge detection edge points emergent properties energy minimisation example exists figure-ground separation finding Frame function Gestalt Laws Gestalt Psychology graph greedy grouping energy grouping factors grouping processes Hough transform human visual system iconic IEEE ill-posed problems illusory contours Image Processing input intensity involves iteration Laws of Organisation linear programming lines machine vision systems Marr measure neighbourhood node object recognition operation orientation output parameter space partially occluded perceived perceptual grouping perceptual organisation performing grouping pixels pop-out preattentive segregation primal sketch proximity variance random dot stereogram region segmentation requires scene shown in figure similarity Simplex simulated annealing solution space spatial stereo matching stochastic structure surface symmetry techniques temperature texture segregation tokens University of Strathclyde weighting whilst