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Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics

Abd El Rahman Shabayek, Olivier Morel, David Fofi
Copyright: © 2013 |Pages: 30
ISBN13: 9781466625396|ISBN10: 1466625392|EISBN13: 9781466625402
DOI: 10.4018/978-1-4666-2539-6.ch011
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MLA

Shabayek, Abd El Rahman, et al. "Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics." Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, edited by Marc Pomplun and Junichi Suzuki, IGI Global, 2013, pp. 243-272. https://doi.org/10.4018/978-1-4666-2539-6.ch011

APA

Shabayek, A. E., Morel, O., & Fofi, D. (2013). Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics. In M. Pomplun & J. Suzuki (Eds.), Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts (pp. 243-272). IGI Global. https://doi.org/10.4018/978-1-4666-2539-6.ch011

Chicago

Shabayek, Abd El Rahman, Olivier Morel, and David Fofi. "Visual Behavior Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics." In Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts, edited by Marc Pomplun and Junichi Suzuki, 243-272. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2539-6.ch011

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Abstract

For long time, it was thought that the sensing of polarization by animals is invariably related to their behavior, such as navigation and orientation. Recently, it was found that polarization can be part of a high-level visual perception, permitting a wide area of vision applications. Polarization vision can be used for most tasks of color vision including object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. The polarization based visual behavior found in the animal kingdom is briefly covered. Then, the authors go in depth with the bio-inspired applications based on polarization in computer vision and robotics. The aim is to have a comprehensive survey highlighting the key principles of polarization based techniques and how they are biologically inspired.

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