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Proceedings Paper

Adaptive Machine Vision: What Can Be Learned From Biological Systems
Author(s): Yehoshua Y. Zeevi
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Paper Abstract

Biological mechanisms of nonuniform sampling and processing of visual signals, and of automatic gain control are discussed. It is argued that such mechanisms, which result in extensive data reduction and efficient allocation of limited computational resources, are attractive for wide field-of-view machine vision systems.

Paper Details

Date Published: 1 March 1990
PDF: 9 pages
Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969769
Show Author Affiliations
Yehoshua Y. Zeevi, Rutgers University (United States)


Published in SPIE Proceedings Vol. 1192:
Intelligent Robots and Computer Vision VIII: Algorithms and Techniques
David P. Casasent, Editor(s)

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