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Proceedings Paper

Perceptual Models For Computer Vision
Author(s): Panos A. Ligomenides
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Paper Abstract

Human perception of resemblance in spatio-temporal patterns y(x; X) is modeled interactively by procedural elastic templates, called "formal description schema - fdsk" models. The identification, representation and quantification of uncertainty-ambiguity in human holistic perception are problems to be resolved by the man-machine interactive modeling of the human faculties of discernment of generic percepts and perceptual organizations, and of assessment of degrees of conformity to these characteristic elastic constraints of a reference k-norm. Underconstrained and often indeterminate visual sensory patterns are, in turn, recognized in real-time by the procedural fdsk-models, which, progressively and accumulatively, assess conformity of sensory patterns to reference k-norms. In this paper we discuss the nature of the formal tolerance-models of conformity, we review our work on the interactive fdsk-modeling of human perception of resemblance for 1D patterns y(x; X), and we examine fuzzy-theoretic aspects of the probabilistic, possibilistic or belief measures of uncertainty in assessing and in predicting conformity to the elastic constraints of a k-norm, in the presence of incomplete or erroneous sensory data.

Paper Details

Date Published: 27 March 1989
PDF: 11 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960300
Show Author Affiliations
Panos A. Ligomenides, University of Maryland (United States)


Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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