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Proceedings Paper

Issues On Coupling In Knowledge-Based Systems
Author(s): S. M. Bhandarkar; Minsoo Suk; G. Ramamoorthy
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Paper Abstract

This paper addresses the issue of coupling in a knowledge-based computer vision system for 3-D polyhederal object recognition. A typical vision system is fairly complex in which both domain-independent and domain dependent knowledge are used during the course of problem solving. Both sources of knowledge interact in a very complicated manner during the course of problem solving. This paper incorporates a complete study of the 3-D object recognition problem and highlights certain important aspects such as (1) Coupling of symbolic and numerical knowledge (2) Evidential reasoning (3) Distributed belief evaluation and propagation. (4) Learning and adaptation.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946998
Show Author Affiliations
S. M. Bhandarkar, Syracuse University (United States)
Minsoo Suk, Syracuse University (United States)
G. Ramamoorthy, Syracuse University (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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