Algorithms From The fdsk-Model Of Paradigmatic Recognition

Panos A. Ligomenides

doi:10.1117/12.970130

1 November 1989 Algorithms From The fds_k-Model Of Paradigmatic Recognition

Panos A. Ligomenides

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970130
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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" (fds_k)- 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.

Citation Download Citation

Panos A. Ligomenides "Algorithms From The fds_k-Model Of Paradigmatic Recognition", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970130

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