Shape from Polarization of low-texture objects with rough depth information
Received:May 14, 2019  Revised:November 13, 2019  download
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Author NameAffiliationPostcode
YANG Jin-Fa Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, China 
100871
YAN Lei  
ZHAO Hong-Ying Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, China 
CHEN Rui  
ZHANG Rui-Hua Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, China 
SHI Bo-Xin National Engineering Laboratory for Video Technology, Peking University, Beijing 100871, China 
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.
keywords:3D reconstruction  low-texture object  polarization  image fusion
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Copyright:《Journal of Infrared And Millimeter Waves》