方位角
旋光法
计算机科学
模棱两可
计算机视觉
人工智能
失真(音乐)
算法
几何学
数学
物理
极化(电化学)
光学
物理化学
计算机网络
化学
散射
放大器
程序设计语言
带宽(计算)
作者
Achuta Kadambi,Vage Taamazyan,Boxin Shi,Ramesh Raskar
标识
DOI:10.1007/s11263-017-1025-7
摘要
Analyzing the polarimetric properties of reflected light is a potential source of shape information. However, it is well-known that polarimetric information contains fundamental shape ambiguities, leading to an underconstrained problem of recovering 3D geometry. To address this problem, we use additional geometric information, from coarse depth maps, to constrain the shape information from polarization cues. Our main contribution is a framework that combines surface normals from polarization (hereafter polarization normals) with an aligned depth map. The additional geometric constraints are used to mitigate physics-based artifacts, such as azimuthal ambiguity, refractive distortion and fronto-parallel signal degradation. We believe our work may have practical implications for optical engineering, demonstrating a new option for state-of-the-art 3D reconstruction.
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