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Proceedings Paper

On-line perceptual recognition system
Author(s): Panos A. Ligomenides
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Paper Abstract

In this paper we are concerned with automating the inferential derivation of meaningful assertions about resemblance (predicates of probability, possibility or belief) from often underconstrained, indeterminate, or even incomplete sensory data. Our approach for solving the problem of modeling perceptual recognition (within the confines of one-dimensional variational profiles), is based on interactive and paradigmatic `training' of `formal description schema-fds' models, which we briefly review here. Thereafter, we present the architecture and operations of an on-line perceptual recognition system, the E*KB system, which serves as a prosthetic extension of a rational human or a robotic decision maker.

Paper Details

Date Published: 20 April 1993
PDF: 9 pages
Proc. SPIE 1827, Model-Based Vision, (20 April 1993); doi: 10.1117/12.143058
Show Author Affiliations
Panos A. Ligomenides, Univ. of Maryland/College Park and CAELUM Research Corp. (United States)

Published in SPIE Proceedings Vol. 1827:
Model-Based Vision
Hatem N. Nasr; Rodney M. Larson, Editor(s)

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