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通过鱼眼镜头改进天光偏振成像模型。

Improved Models of Imaging of Skylight Polarization Through a Fisheye Lens.

机构信息

School of Computer and Information, Hefei University of Technology, Hefei 230009, China.

出版信息

Sensors (Basel). 2019 Nov 7;19(22):4844. doi: 10.3390/s19224844.

Abstract

Researchers have found that some animals can use the skylight polarization pattern for navigation. It is also expected to use the skylight polarization pattern for human navigating in the near future. However, the challenge is that the need for a more accurate and efficient model of the imaging of skylight polarization is always felt. In this paper, three improved models of imaging of skylight polarization are proposed. The proposed models utilize the analysis of the distribution of the skylight polarization pattern after the polarization imaging system. Given that the skylight polarization pattern after the polarization imaging system is distorted, the focus of this paper is on the degree of distortion of the skylight polarization pattern in these imaging models. Experiments in clear weather conditions demonstrate that the proposed model operates close to the actual acquired skylight polarization pattern.

摘要

研究人员发现,一些动物可以利用天空光偏振模式进行导航。预计在不久的将来,人类也可以利用天空光偏振模式进行导航。然而,挑战在于,人们总是需要更准确和高效的天空光偏振成像模型。本文提出了三种改进的天空光偏振成像模型。所提出的模型利用了偏振成像系统后天空光偏振模式分布的分析。鉴于偏振成像系统后的天空光偏振模式发生了扭曲,本文的重点是这些成像模型中天空光偏振模式的扭曲程度。在晴朗天气条件下的实验表明,所提出的模型与实际获取的天空光偏振模式非常接近。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf59/6891764/b7da300482ec/sensors-19-04844-g001.jpg

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