Bio-Inspired Polarization Vision Techniques for Robotics Applications

Author:

Shabayek Abd El Rahman1,Morel Olivier2,Fofi David2

Affiliation:

1. Suez Canal University, Egypt

2. Université de Bourgogne, France

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.

Publisher

IGI Global

Reference164 articles.

1. Ahmad, J. E., & Takakura, Y. (2007). Improving segmentation maps using polarization imaging. In Proceedings ofIEEE International Conference on Image Processing (vol. 1, pp. 281-284). IEEE.

2. Polarization in the LWIR: a method to improve target aquisition

3. Multi-view surface reconstruction using polarization.;G. A.Atkinson;Proceedings of the IEEE International Conference on Computer Vision,2005

4. Segmentation with invisible keying signal.;M.Ben-Ezra;Proceedings of IEEE Conference on Computer Vision and Pattern Recognition,2000

5. Theory of polarization shift keying modulation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3