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Proceedings Paper

Algorithms From The fdsk-Model Of Paradigmatic Recognition
Author(s): Panos A. Ligomenides
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Paper Abstract

Rational decision making (human and robotic) depends critically on the availability of comprehensible internal models of the decision making world. Recognition of the spatio-temporal patterns of numerically or linguistically quantified attributes and relations by assessment of conformity/resemblance to wholistic perceptual elastic constraints of selected norms, is essential for the formulation of comprehensible internal models. The "formal description schema" (fdsk)- model has been proposed for perceptual recognition and inferential capture of real time experiential knowledge from underconstrained and often indeterminate sensory data [10]. In this paper, the man-machine interactive paradigmatic approach to modeling human perception of conformity/resemblance is reviewed and algorithms for real-time recognition are presented. Fully parallel implementation using neural networks is also discussed.

Paper Details

Date Published: 1 November 1989
PDF: 12 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970130
Show Author Affiliations
Panos A. Ligomenides, University of Maryland (United States)
CAELUM Research Corporation (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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