Polarimetric multi-view 3D reconstruction based on parallax angle and zenith angle optimization
Received:March 28, 2020  Revised:January 15, 2021  download
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Author NameAffiliationE-mail
ZHANG Rui-Hua Institute of Remote Sensing and Geographic Information System School of Earth and Space Science Peking University Beijing 100871 China ruihuazhang@pku.edu.cn 
SHI Bo-Xin National Engineering Laboratory for Video Technology Peking University Beijing 100871 China  
YANG Jin-Fa Institute of Remote Sensing and Geographic Information System School of Earth and Space Science Peking University Beijing 100871 China  
ZHAO Hong-Ying Institute of Remote Sensing and Geographic Information System School of Earth and Space Science Peking University Beijing 100871 China zhaohy@pku.edu.cn 
ZUO Zheng-Kang Institute of Remote Sensing and Geographic Information System School of Earth and Space Science Peking University Beijing 100871 China  
Abstract:Multi-view stereo reconstruction relies on object’ s surface feature, and thus occurred data deficiency in dealing with low-texture regions, the polarization characteristics of the reflection light be fused to observe completely surface under different light surroundings, which can reconstruct depth map of objects by calculating polarization parameters and normal information. However, there appears several problems such as azimuth ambiguity and zenith angle deviation using pure polarization information for 3D reconstruction, which result in distortion of the reconstruction results and even couldn’t get the depth. For objects with low-texture regions, capturing images from around 30 views from four polarizing angles using polarization camera, and using parallax bundle adjustment to optimize camera parameters and points’ coordinate and using passion optimization method to correct zenith angle deviation, the 3D reconstruction algorithm combining the multi-view stereo and polarization information can not only replenish the local data deficiency of multi-view 3D point cloud, but also solve the azimuth ambiguity and zenith angle deviation, and finally get the more accurate 3D reconstruction results.
keywords:polarization 3D reconstruction  bundle adjustment  poisson optimization  image fusion
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Copyright:《Journal of Infrared And Millimeter Waves》