ShanghaiTech University Knowledge Management System
| Robust 3D Human Motion Reconstruction Via Dynamic Template Construction | |
| 2017 | |
| Source Publication | PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON 3D VISION (3DV)
 |
| Pages | 496-505 |
| Status | 已发表 |
| DOI | 10.1109/3DV.2017.00063 |
| Abstract | In multi-view human body capture systems, the recovered 3D geometry or even the acquired imagery data can be heavily corrupted due to occlusions, noise, limited field-of-view, etc. Direct estimation of 3D pose, body shape or motion on these low-quality data has been traditionally challenging. In this paper, we present a graph-based non-rigid shape registration framework that can simultaneously recover 3D human body geometry and estimate pose/motion at high fidelity. Our approach first generates a global full-body template by registering all poses in the acquired motion sequence. We then construct a deformable graph by utilizing the rigid components in the global template. We directly warp the global template graph back to each motion frame in order to fill in missing geometry. Specifically, we combine local rigidity and temporal coherence constraints to maintain geometry and motion consistencies. Comprehensive experiments on various scenes show that our method is accurate and robust even in the presence of drastic motions. |
| Publication Place | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| Conference Place | Qingdao, China |
| Indexed By | CPCI ; EI |
| Language | 英语 |
| Funding Project | Army Research Office[W911NF14-1-0338] |
| WOS Research Area | Computer Science ; Engineering ; Imaging Science & Photographic Technology |
| WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000454981700053 |
| Publisher | IEEE |
| EI Accession Number | 20182605362818 |
| EI Keywords | Computer vision ; Geometry ; Graphic methods ; Image reconstruction ; Surface reconstruction |
| EI Classification Number | Data Processing and Image Processing:723.2 ; Computer Applications:723.5 ; Mathematics:921 |
| WOS Keyword | NONRIGID REGISTRATION ; TRACKING ; OBJECTS |
| Original Document Type | Proceedings Paper |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29870 |
| Collection | 信息科学与技术学院 信息科学与技术学院_PI研究组_虞晶怡组 |
| Corresponding Author | Li, Zhong |
| Affiliation | 1.Univ Delaware, Newark, DE 19716 USA 2.Plex VR, New York, NY 10016 USA 3.Louisiana State Univ, Baton Rouge, LA 70803 USA 4.ShanghaiTech Univ, Shanghai, Peoples R China |
| Recommended Citation GB/T 7714 | Li, Zhong,Ji, Yu,Yang, Wei,et al. Robust 3D Human Motion Reconstruction Via Dynamic Template Construction[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:496-505. |
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