Outlier and Artifact Removal Filters for Multi-View Stereo
Kouya Yodokawa, Koichi Ito, Takafumi Aoki, Shuji Sakai, Takafumi Watanabe, Tomohito Masuda · 2018
This paper proposes an outlier and artifact removal method for multiview stereo. The proposed method introduces the three filters, which check (i) consistency among depth maps and their visibility, (ii) left-right consistency and (iii) consistency between the depth map and color intensity, respectively. The proposed method removes outliers and artifacts from depth maps generated by PatchMatch Multi-View Stereo. We demonstrate that the proposed method exhibits the efficient performance on 3D reconstruction compared with conventional methods through a set of experiments using public datasets and under practical situations.