Animal polarization imaging and implications for optical processing

Roberts, Nicholas W., How, Martin J., Porter, Megan L., Temple, Shelby E., Caldwell, Roy L., Powell, Samuel B., Gruev, Viktor, Marshall, N. Justin and Cronin, Thomas W. (2014) Animal polarization imaging and implications for optical processing. Proceedings of the IEEE, 102 10: 1427-1434. doi:10.1109/JPROC.2014.2341692


Author Roberts, Nicholas W.
How, Martin J.
Porter, Megan L.
Temple, Shelby E.
Caldwell, Roy L.
Powell, Samuel B.
Gruev, Viktor
Marshall, N. Justin
Cronin, Thomas W.
Title Animal polarization imaging and implications for optical processing
Journal name Proceedings of the IEEE   Check publisher's open access policy
ISSN 0018-9219
1558-2256
Publication date 2014-10-01
Year available 2014
Sub-type Article (original research)
DOI 10.1109/JPROC.2014.2341692
Open Access Status
Volume 102
Issue 10
Start page 1427
End page 1434
Total pages 8
Place of publication New York, NY, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2015
Language eng
Abstract Biologically inspired solutions for modern-day sensory systems promise to deliver both higher capacity and faster, more efficient processing of information than current computational approaches. Many animals are able to perform remarkable sensing tasks despite only being able to process what would be considered modest data rates and bandwidths. The key biological innovations revolve around dedicated filter designs. By sacrificing some flexibility, specifically matched and hard-wired sensory systems, designed primarily for single roles, provide a blueprint for data and task-specific efficiency. In this paper, we examine several animal visual systems designed to use the polarization of light in spatial imaging. We investigate some implications for artificial optical processing based on models of polarization image processing in fiddler crabs, cuttlefish, octopus, and mantis shrimp.
Keyword Animals
Biophotonics
Image processing
Optical polarization
Stokes parameters
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2015 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
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