Polarization distance: a framework for modelling object detection by polarization vision systems

How, Martin J. and Marshall, N. Justin (2014) Polarization distance: a framework for modelling object detection by polarization vision systems. Proceedings of the Royal Society B: Biological Sciences, 281 1776: 20131632.1-20131632.8. doi:10.1098/rspb.2013.1632

Author How, Martin J.
Marshall, N. Justin
Title Polarization distance: a framework for modelling object detection by polarization vision systems
Journal name Proceedings of the Royal Society B: Biological Sciences   Check publisher's open access policy
ISSN 0962-8452
Publication date 2014-02-07
Year available 2013
Sub-type Article (original research)
DOI 10.1098/rspb.2013.1632
Open Access Status DOI
Volume 281
Issue 1776
Start page 20131632.1
End page 20131632.8
Total pages 8
Place of publication London, United Kingdom
Publisher The Royal Society Publishing
Language eng
Formatted abstract
The discrimination of polarized light is widespread in the natural world. Its use for specific, large-field tasks, such as navigation and the detection of water bodies, has been well documented. Some species of cephalopod and crustacean have polarization receptors distributed across the whole visual field and are thought to use polarized light cues for object detection. Both object-based polarization vision systems and large field detectors rely, at least initially, on an orthogonal, two-channel receptor organization. This may increase to three-directional analysis at subsequent interneuronal levels. In object-based and some of the large-field tasks, the dominant e-vector detection axes are often aligned (through eye, head and body stabilization mechanisms) horizontally and vertically relative to the outside world. We develop Bernard and Wehner's 1977 model of polarization receptor dynamics to apply it to the detection and discrimination of polarized objects against differently polarized backgrounds. We propose a measure of ‘polarization distance’ (roughly analogous to ‘colour distance’) for estimating the discriminability of objects in polarized light, and conclude that horizontal/vertical arrays are optimally designed for detecting differences in the degree, and not the e-vector axis, of polarized light under natural conditions.
Keyword Polarized light
Object discrimination
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published 18 December 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
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Created: Mon, 31 Mar 2014, 18:52:25 EST by Debra McMurtrie on behalf of Queensland Brain Institute