Adaptive Machine Vision: What Can Be Learned From Biological Systems

Yehoshua Y. Zeevi

doi:10.1117/12.969769

1 March 1990 Adaptive Machine Vision: What Can Be Learned From Biological Systems

Yehoshua Y. Zeevi

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969769
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Yehoshua Y. Zeevi "Adaptive Machine Vision: What Can Be Learned From Biological Systems", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969769

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