极化(电化学)
人工智能
计算机视觉
光学
光辉
计算机科学
天窗
反射对称性
摄像机自动校准
物理
摄像机切除
数学
工程类
机械工程
物理化学
化学
几何学
作者
Yujie Wang,Xiaoping Hu,Junxiang Lian,Lilian Zhang,Xiaofeng He
出处
期刊:IEEE Sensors Journal
[Institute of Electrical and Electronics Engineers]
日期:2017-03-01
卷期号:17 (5): 1316-1324
被引量:28
标识
DOI:10.1109/jsen.2017.2650948
摘要
The remarkable polarization vision of animals provides a significant inspiration for robotic navigation and visual enhancement, as polarization pattern provides additional information besides spectral signatures. A novel bio-inspired polarization camera is proposed in this paper, which can realize real-time image-based polarization measurement. The composition of the system is described and the optimal estimation of the polarization state is derived based on the least square algorithm. This paper concentrates particularly on the camera orientation algorithms and visual enhancement methods with it. To estimate the camera's heading angle with the skylight polarization pattern, the sun vector is established as an optimization problem of finding the minimum eigenvector. The solar meridian is also estimated from the degree of polarization pattern by detecting reflectional symmetry axes. The result shows that the measured polarization patterns are very close to the theory. The maximum orientation error of the proposed method based on angle of polarization is about 0.5°. The average error is 0.012° with standard deviation of 0.28°. Thus, the novel polarization camera could be used as sun compass. When observing scenes in distance, the polarization camera is used to decouple the airlight from the object radiance, which results in much better contrast. More importantly, the polarization information is helpful for scene identification and object detection. The result also shows that the polarization camera can reasonably cope with the semi-reflection problem.
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