Computer Vision Systems: Papers from the Workshop on Computer Vision Systems, Held at the University of Massachusetts, Amherst, Massachusetts, June 1-3, 1977Allen R. Hanson, Edward M. Riseman Issues and research strategies; Segmentation; Theory and psychology; Systems. |
Contents
ISSUES AND RESEARCH STRATEGIES | 1 |
THE NECESSITY FOR A THEORY OF SPECIALIZED | 27 |
SYSTEM ENGINEERING TECHNIQUES | 37 |
Copyright | |
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Academic Press algorithm array Artificial Intelligence boundary cells CHECKING PROPOSITIONAL FILE cluster complex component Computer Vision Systems cone constraints constructed context contours corresponding cues curvature curve data structures defined described detection domain dual-picture edge detection example extracted Fortran function Gaussian curvature global gradient Hanson hierarchical histogram homomorphism horizontal hypotheses illusory contours Image Processing implementation input intensity interaction interpretation iterations knowledge layer line segments low-level machine vision mapping Marr masking matching micro-edge motion aftereffect N-tuple node objects operations orientation parallel pattern Pattern Recognition perception picture pixels possible problem Proc procedures processor R-tree recognition region regular decomposition relation relationships relaxation representation represented Riseman Rosenfeld scan scene analysis schema semantic shape shown in Figure spatial specific stored strategy strokes surface symbolic techniques texture theory tion total curvature transforms values vertex vertical visual Weisstein world model