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Proceedings Paper

Effect of spatial sampling on pattern noise in insect-based motion detection
Author(s): Sreeja Rajesh; Andrew Straw; David C. O'Carroll; Derek Abbott
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Paper Abstract

Insects perform highly complicated navigational tasks even though their visual system is relatively simple. The main idea of work in this area is to study the visual system of insects and to incorporate algorithms used by them in electronic circuits to produce low power, computationally simple, highly efficient, robust devices capable of accurate motion detection and velocity estimation. The Reichardt correlator model is one of the earliest and the most prominent biologically inspired models of motion detection developed by Hassentein and Reichardt in 1956. In an attempt to get accurate estimates of yaw velocity using an elaborated Reichardt correlator, we have investigated the effect of pattern noise (deviation of the correlator output resulting from the structure of the visual scene) on the correlator response. We have tested different sampling methods here and it is found that a circular sampled array of elementary motion detectors (EMDs) reduces pattern noise effectively compared to an array of rectangular or randomly selected EMDs for measuring rotational motion.

Paper Details

Date Published: 28 February 2005
PDF: 15 pages
Proc. SPIE 5649, Smart Structures, Devices, and Systems II, (28 February 2005); doi: 10.1117/12.598178
Show Author Affiliations
Sreeja Rajesh, The Univ. of Adelaide (Australia)
Andrew Straw, The Univ. of Adelaide (Australia)
California Institute of Technology (United States)
David C. O'Carroll, The Univ. of Adelaide (Australia)
Derek Abbott, The Univ. of Adelaide (Australia)


Published in SPIE Proceedings Vol. 5649:
Smart Structures, Devices, and Systems II
Said F. Al-Sarawi, Editor(s)

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