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Proceedings Paper

Knowledge representation in a guided globular reasoning framework: Part II
Author(s): Kamran Reihani; Wiley E. Thompson
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Paper Abstract

Random selection of operands for image understanding systems often requires extensive region modification and (local) object re-selections to achieve success, from comparison of their clues. The deductions and processing required to achieve success are quite time-intensive and degrade the system's performance, significantly. In this paper, a priority scheme is proposed which produces a prioritized set of local objects and their combined (or single) regions, as operands for autonomous taskspecifically interacting systems of an image understanding system.

Paper Details

Date Published: 1 February 1992
PDF: 8 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57108
Show Author Affiliations
Kamran Reihani, New Mexico State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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