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Proceedings Paper

Computer vision as a coupled system
Author(s): Suchendra M. Bhandarkar; Minsoo Suk
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Paper Abstract

The important shortcomings of existing computer vision systems are addressed in this paper. A coupled systems approach towards designing computer vision systems is proposed as a means of overcoming these shortcomings. An object-oriented framework is shown to be a natural way of implementing coupled systems. Two important issues in the design of object-oriented systems are considered : (i) indexing in an object-oriented hierarchy and (ii) parallel implementation of constraint propagation techniques. The problem of three-dimensional object recognition from range images in multiple-object scenes with partial occlusion is chosen as a candidate problem. Experimental results are cited and future directions are proposed.

Paper Details

Date Published: 1 January 1990
PDF: 12 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21051
Show Author Affiliations
Suchendra M. Bhandarkar, Univ. of Georgia (United States)
Minsoo Suk, Syracuse Univ. (United States)

Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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