2014 CVPR CVPR 2014

Occluding Contours for Multi-View Stereo

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.

🌉 Interdisciplinary Bridge — Computer Vision and Mathematics & Optimization
🧭 Keyword Pioneer — occluding contour
🐣 Hot Topic Early Bird — surface reconstruction
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics