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Proceedings Paper

Design for optoelectronic implementation of visual recognition system
Author(s): Thomas Y. P. Lee; Clark C. Guest
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Paper Abstract

The visual recognition system in animals is an inherently parallel system. Existing very large scale integrated circuit implementations have serious limitations on power consumption and computational speed. We propose a highly parallel optoelectronic system combining elements of the Grossberg and Dobbin vision models and Fukushima's Neocognitron model. This high performance machine vision hardware is capable of distortion invariant recognition. Modeling and implementation of such systems provides insight into the visual recognition function, and also is useful for designing optoelectronic hardware that can be used for many applications.

Paper Details

Date Published: 2 February 1993
Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993); doi: 10.1117/12.983191
Show Author Affiliations
Thomas Y. P. Lee, Univ. of California/San Diego (United States)
Clark C. Guest, Univ. of California/San Diego (United States)

Published in SPIE Proceedings Vol. 1773:
Photonics for Computers, Neural Networks, and Memories
Stephen T. Kowel; John A. Neff; William J. Miceli, Editor(s)

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