Share Email Print

Proceedings Paper

Perceptual Models For Computer Vision
Author(s): Panos A. Ligomenides
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top