Multiview Image Completion with Space Structure Propagation

被引:17
作者
Baek, Seung-Hwan [1 ]
Choi, Inchang [1 ]
Kim, Min H. [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Daejeon, South Korea
来源
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2016年
基金
新加坡国家研究基金会;
关键词
D O I
10.1109/CVPR.2016.59
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a multiview image completion method that provides geometric consistency among different views by propagating space structures. Since a user specifies the region to be completed in one of multiview photographs casually taken in a scene, the proposed method enables us to complete the set of photographs with geometric consistency by creating or removing structures on the specified region. The proposed method incorporates photographs to estimate dense depth maps. We initially complete color as well as depth from a view, and then facilitate two stages of structure propagation and structure-guided completion. Structure propagation optimizes space topology in the scene across photographs, while structure-guide completion enhances, and completes local image structure of both depth and color in multiple photographs with structural coherence by searching nearest neighbor fields in relevant views. We demonstrate the effectiveness of the proposed method in completing multiview images.
引用
收藏
页码:488 / 496
页数:9
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