Occluding Contours for Multi-View Stereo

被引：36

作者：

Shan, Qi ^{[1
]}

Curless, Brian ^{[1
]}

Furukawa, Yasutaka ^{[2
]}

Hernandez, Carlos ^{[3
]}

Seitz, Steven M. ^{[1
,3
]}

机构：

[1] Univ Washington, Seattle, WA 98195 USA

[2] Washington Univ, St Louis, MO 63130 USA

[3] Google, Mountain View, CA USA

来源：

2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2014年

关键词：

D O I：

10.1109/CVPR.2014.511

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 [14]. 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.

引用

页码：4002 / 4009

页数：8

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