Shape from Polarization of low-texture objects with rough depth information
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Affiliation:

1.Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China;2.Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, China;3.National Engineering Laboratory for Video Technology, Peking University, Beijing 100871, China

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Fund Project:

National Key R&D Program of China 2017YFB0503000;National Natural Science Foundation of China 41842048Supported by National Key R&D Program of China(2017YFB0503000),National Natural Science Foundation of China(41842048)

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    Abstract:

    For the smooth surface and low-texture target, the traditional multi-view geometry reconstruction algorithm was difficult to obtain the ideal result. However, it is difficult to obtain ideal results by simply using the polarization information for three-dimensional reconstruction with ambiguity problem. Using the rough depth map as a prior information can solve the azimuth ambiguity problem. Firstly, calibrated and aligned the polarized camera and the depth camera, and used the normal vector obtained by the rough depth map to correct the polarization azimuth ambiguity, then integrated the corrected normal vector with the rough depth map to obtain a high-precision three-dimensional surface of the object.

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YANG Jin-Fa, YAN Lei, ZHAO Hong-Ying, CHEN Rui, ZHANG Rui-Hua, SHI Bo-Xin. Shape from Polarization of low-texture objects with rough depth information[J]. Journal of Infrared and Millimeter Waves,2019,38(6):819~827

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History
  • Received:May 14,2019
  • Revised:November 13,2019
  • Adopted:August 15,2019
  • Online: December 17,2019
  • Published: