Computer vision systems: papers from the Workshop on Computer Vision Systems, held at the University of Massachusetts, Amherst, Massachusetts, June 1-3, 1977
Issues and research strategies; Segmentation; Theory and psychology; Systems.
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ISSUES AND RESEARCH STRATEGIES
THE NECESSITY FOR A THEORY OF SPECIALIZED
SYSTEM ENGINEERING TECHNIQUES
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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 structure defined described detection domain edge detection edge point example extracted Fortran function global gradient H H H Hanson hierarchical histogram homomorphism horizontal hypotheses illusory contours implementation input instantiated intensity interaction interpretation iteration label layer low-level machine vision mapping Marr masking matching N-tuple node objects operations orientation parallel partial pattern Pattern Recognition perception picture pixels possible problem Proc procedures processor R-tree recognition region regular decomposition relation relationships representation represented Riseman Rosenfeld scene analysis schema semantic semantic network shape shown in Figure spatial specific stored strategy strokes surface symbolic techniques texture theory tion transforms tree vertex vertical visual visual perception Weisstein world model