Optimization of retina-like sensor parameters based on visual task requirements

Fan Wang; Fengmei Cao; Tingzhu Bai; Yulun Su

doi:10.1117/1.OE.52.4.043206

24 April 2013 Optimization of retina-like sensor parameters based on visual task requirements

Fan Wang, Fengmei Cao, Tingzhu Bai, Yulun Su

Author Affiliations +

Optical Engineering, Vol. 52, Issue 4, 043206 (April 2013). https://doi.org/10.1117/1.OE.52.4.043206

Abstract

Retina-like sensors maximize both field of view and resolution in addition to economizing on pixel count, so they play an important role in both biological and machine vision. A new retina-like sensor model for compensating motion blur introduced by forward motion imaging is proposed. Next, the determination of pixel arrangement of a retina-like sensor according to visual task requirements is formulated into a multiobjective optimization problem. Then, three retina-like sensors are designed to meet different visual task requirements using the particle swarm optimization algorithm. The results are robust and approximate to design criteria.

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Fan Wang, Fengmei Cao, Tingzhu Bai, and Yulun Su "Optimization of retina-like sensor parameters based on visual task requirements," Optical Engineering 52(4), 043206 (24 April 2013). https://doi.org/10.1117/1.OE.52.4.043206

Published: 24 April 2013

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