Spatial sampling variations for biomimetic computer vision

被引：5

作者：

Benson, John B. ^{[1
]}

Wright, Cameron H. G. ^{[1
]}

Barrett, Steven F. ^{[1
]}

机构：

[1] Univ Wyoming, Dept Elect & Comp Engn, Laramie, WY 82071 USA

来源：

2006 IEEE 12TH DIGITAL SIGNAL PROCESSING WORKSHOP & 4TH IEEE SIGNAL PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2 | 2006年

关键词：

sampling methods; image sampling; biological organs; photodetectors; visual system; machine vision;

D O I：

10.1109/DSPWS.2006.265380

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Signal and image processing algorithms rely upon assumptions about the underlying sampling process. Ideal sampling and non-overlapping finite-aperture sampling have been examined extensively in the literature. This paper examines the ramifications of spatial sampling of an image with overlapping Gaussian-response photodetectors, which models certain insect vision systems.

引用

页码：1 / 6

页数：6

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