Nonrigid surface registration and completion from RGBD images

Weipeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Nonrigid surface registration is a challenging problem that suffers from many ambiguities. Existing methods typically assume the availability of full volumetric data, or require a global model of the surface of interest. In this paper, we introduce an approach to nonrigid registration that performs on relatively low-quality RGBD images and does not assume prior knowledge of the global surface shape. To this end, we model the surface as a collection of patches, and infer the patch deformations by performing inference in a graphical model. Our representation lets us fill in the holes in the input depth maps, thus essentially achieving surface completion. Our experimental evaluation demonstrates the effectiveness of our approach on several sequences, as well as its robustness to missing data and occlusions.

源语言英语
主期刊名Computer Vision, ECCV 2014 - 13th European Conference, Proceedings
出版商Springer Verlag
64-79
页数16
版本PART 2
ISBN(印刷版)9783319106045
DOI
出版状态已出版 - 2014
活动13th European Conference on Computer Vision, ECCV 2014 - Zurich, 瑞士
期限: 6 9月 201412 9月 2014

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
8690 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议13th European Conference on Computer Vision, ECCV 2014
国家/地区瑞士
Zurich
时期6/09/1412/09/14

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