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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algorithm applied approach array Artificial Intelligence boundary cluster color complex component COMPUTER VISION SYSTEMS cone constraints constructed context contours corresponding cues curve data structure defined described detection domain edge detection edge point example extracted feature extraction Fortran function global gradient H H H hierarchical histogram hypotheses implementation initial input instantiated intensity interaction interpretation knowledge sources label layer level processing low level machine vision mapping Marr matching N-tuple node objects operations orientation parallel Pattern Recognition patterns perception picture pixels possible problem Proc procedure processor R-tree recognition region regular decomposition relation relationships representation represented Riseman scene analysis schema segmentation semantic semantic network shape shown in Figure space spatial specific stereopsis stored strategy strokes surface symbolic techniques texture theory tion transforms tree values vertical visual visual perception world model