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Optical Engineering

Optimization of retina-like sensor parameters based on visual task requirements
Author(s): Fan Wang; Fengmei Cao; Tingzhu Bai; Yulun Su
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Paper 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.

Paper Details

Date Published: 24 April 2013
PDF: 8 pages
Opt. Eng. 52(4) 043206 doi: 10.1117/1.OE.52.4.043206
Published in: Optical Engineering Volume 52, Issue 4
Show Author Affiliations
Fan Wang, Beijing Institute of Technology (China)
Fengmei Cao, Beijing Institute of Technology (China)
Tingzhu Bai, Beijing Institute of Technology (China)
Yulun Su, Beijing Institute of Technology (Taiwan)

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