Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo

Polarimetric multi-view stereo (PMS) reconstructs the dense 3D surface of a feature sparse object by combining the photometric information from polarization with the epipolar constraints from multiple views. In this paper, we propose a new approach based on the recent advances in graph signal processing (GSP) for efficient ambiguity resolution in PMS. A smooth graph which effectively captures the relational structure of the azimuth values is constructed using the estimated phase angle. By visualizing the actual azimuth available at the reliable depth points (corresponding to the feature-rich region) as sampled graph signal, the azimuth at the remaining feature-limited region is estimated. Unlike the existing ambiguity resolution scheme in PMS which resolves only the π/2-ambiguity, the proposed approach resolves both the π and π/2-ambiguity. Simulation results are presented, which shows that in addition to resolving both the ambiguities, the proposed GSP based method performs significantly better in resolving the π/2-ambiguity than the existing approach.