GUAN Le,LIU Sheng,LI Shi-qi,LIN Wei,ZHAI Li-yuan,CHU Jin-kui.Study on polarized optical flow algorithm for imaging bionic polarization navigation micro sensor[J].Optoelectronics Letters,2018,14(3):220-225 |
Study on polarized optical flow algorithm for imaging bionic polarization navigation micro sensor |
Author Name | Affiliation | GUAN Le | Key Laboratory for Precision and Nona, Traditional Machining Technology of Ministry of Education, Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China | LIU Sheng | Key Laboratory for Precision and Nona, Traditional Machining Technology of Ministry of Education, Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China | LI Shi-qi | Key Laboratory for Precision and Nona, Traditional Machining Technology of Ministry of Education, Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China | LIN Wei | Key Laboratory for Precision and Nona, Traditional Machining Technology of Ministry of Education, Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China | ZHAI Li-yuan | Key Laboratory for Precision and Nona, Traditional Machining Technology of Ministry of Education, Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China | CHU Jin-kui | Key Laboratory for Precision and Nona, Traditional Machining Technology of Ministry of Education, Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China |
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Abstract: |
At present, both the point source and the imaging polarization navigation devices only can output the angle information, which means that the velocity information of the carrier cannot be extracted from the polarization field pattern directly. Optical flow is an image-based method for calculating the velocity of pixel point movement in an image. However, for ordinary optical flow, the difference in pixel value as well as the calculation accuracy can be reduced in weak light. Polarization imaging technology has the ability to improve both the detection accuracy and the recognition probability of the target because it can acquire the extra polarization multi-dimensional information of target radiation or reflection. In this paper, combining the polarization imaging technique with the traditional optical flow algorithm, a polarization optical flow algorithm is proposed, and it is verified that the polarized optical flow algorithm has good adaptation in weak light and can improve the application range of polarization navigation sensors. This research lays the foundation for day and night all-weather polarization navigation applications in future. |
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