Abstract: Advances in sensing technology enable acquisition of a large amount of information from the physical world. Vision techniques have played a key role in information sensing, but with a limitation that most vision systems can only perceive partial information beyond the visible spectrum. For instance, one cannot perceive the information carried by a polarized light since human vision systems are not sensitive to polarization. On the other hand, however, some marine and terrestrial animals and insects demonstrate their abilities to sense and utilize polarized lights to navigate, locate, and hunt for prey in their daily activities. Polarization is a unique characteristic of transverse wave, which is the asymmetry phenomenon of vibration direction and propagation direction. Comparing with conventional image techniques, the polarization imaging technique can detect the polarization information of targets, which will be beneficial to subsequent applications in computer vision task.In this report, I will introduce some new results on how to utilize the polarization information in computer vision task, such as underwater imaging, reflection remove and object detection.

Zhao Yong-Qiang

• received the B.S., M.S., and Ph.D. degrees in control science and engineering from Northwestern Polytechnic University, Xi’an, China, in 1998, 2001, and 2004, respectively.
• From 2007 to 2009, he was a Post-Doctoral Researcher with McMaster University, Hamilton, ON, Canada, and Temple University, Philadelphia, PA, USA, respectively.
• He is currently a Professor with Northwestern Polytechnical University, and Research and Development Institute of Northwestern Polytechnical University, Shenzhen, China.
• His research interests include polarization vision, hyperspectral imaging, image processing, and pattern recognition.

https://teacher.nwpu.edu.cn/m/2001000069.html

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