Perspective Phase Angle Model for Polarimetric 3D Reconstruction

Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption. In the case of a large field of view, however, this assumption does not hold and may result in significant reconstruction errors in methods that make this assumption. To address this problem, we present the perspective phase angle (PPA) model that is applicable to perspective cameras. Compared with the orthographic model, the proposed PPA model accurately describes the relationship between polarization phase angle and surface normal under perspective projection. In addition, the PPA model makes it possible to estimate surface normals from only one single-view phase angle map and does not suffer from the so-called p-ambiguity problem. Experiments on real data show that the PPA model is more accurate for surface normal estimation with a perspective camera than the orthographic model.

Automated summary

Current polarimetric 3D reconstruction methods developed under the orthographic projection assumption may result in significant errors when applied to a large field of view. To address this problem, a perspective phase angle (PPA) model is proposed in this study. The PPA model accurately describes the relationship between polarization phase angle and surface normal under perspective projection, and enables surface normal estimation using only one single-view phase angle map without suffering from the p-ambiguity problem. Experimental results demonstrate that the PPA model is more accurate for surface normal estimation with a perspective camera than the orthographic model.