Occluding Contours for Multi-View Stereo

Qi Shan, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, Steven M. Seitz; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, pp. 4002-4009

Abstract

This paper leverages occluding contours (aka "internal silhouettes") to improve the performance of multi-view stereo methods. The contributions are 1) a new technique to identify free-space regions arising from occluding contours, and 2) a new approach for incorporating the resulting free-space constraints into Poisson surface reconstruction. The proposed approach outperforms state of the art MVS techniques for challenging Internet datasets, yielding dramatic quality improvements both around object contours and in surface detail.

Related Material

[pdf]
[bibtex]
@InProceedings{Shan_2014_CVPR,
author = {Shan, Qi and Curless, Brian and Furukawa, Yasutaka and Hernandez, Carlos and Seitz, Steven M.},
title = {Occluding Contours for Multi-View Stereo},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2014}
}