Bio-Inspired Polarization Vision Techniques for Robotics Applications

Bio-Inspired Polarization Vision Techniques for Robotics Applications

Abd El Rahman Shabayek (Suez Canal University, Egypt), Olivier Morel (Université de Bourgogne, France) and David Fofi (Université de Bourgogne, France)
Copyright: © 2018 |Pages: 37
DOI: 10.4018/978-1-5225-5204-8.ch017

Abstract

Researchers have been inspired by nature to build the next generation of smart robots. Based on the mechanisms adopted by the animal kingdom, research teams have developed solutions to common problems that autonomous robots faced while performing basic tasks. Polarization-based behaviour is one of the most distinctive features of some species of the animal kingdom. Light polarization parameters significantly expand visual capabilities of autonomous robots. Polarization vision can be used for most tasks of color vision, like object recognition, contrast enhancement, camouflage breaking, and signal detection and discrimination. In this chapter, the authors briefly cover polarization-based visual behavior in the animal kingdom. Then, they go in depth with 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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Polarization Based Visual Behavior In The Animal Kingdom

Figure 1.

Polarization in the animal kingdom; from left to right and top to bottom: honey bees, Cataglyphis ant, dung beetle and Atlantic salmon

(Images adapted from Wikipedia.org).

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