High-precision polarization imaging for three-dimensional reconstruction aided by a separate coarse depth map

For less-texture objects with highly reflective regions, traditional vision-based three-dimensional reconstruction techniques often fail to yield ideal results. Utilizing polarization information for reconstructing such objects is a convenient and effective method. However, relying solely on polarization information for three-dimensional reconstruction presents challenges such as ambiguity in surface normals and difficulties in normal integration. In this paper, we propose to resolve the ambiguity in polarization normals using the coarse depth as prior information under a perspective projection model. By fusing the disambiguated normal with the coarse depth, we avoid the need for normal integration. The experimental results demonstrate that our proposed algorithm improves the quality of polarization imaging, effectively restoring the details lost in the coarse depth and smoothing the areas with high reflectivity.