Robust 3D Human Motion Reconstruction Via Dynamic Template Construction
2017
Source PublicationPROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON 3D VISION (3DV)
Pages496-505
Status已发表
DOI10.1109/3DV.2017.00063
AbstractIn 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 Place345 E 47TH ST, NEW YORK, NY 10017 USA
Conference PlaceQingdao, China
Indexed ByCPCI ; EI
Language英语
Funding ProjectArmy Research Office[W911NF14-1-0338]
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000454981700053
PublisherIEEE
EI Accession Number20182605362818
EI KeywordsComputer vision ; Geometry ; Graphic methods ; Image reconstruction ; Surface reconstruction
EI Classification NumberData Processing and Image Processing:723.2 ; Computer Applications:723.5 ; Mathematics:921
WOS KeywordNONRIGID REGISTRATION ; TRACKING ; OBJECTS
Original Document TypeProceedings Paper
Citation statistics
Document Type会议论文
Identifierhttps://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 AuthorLi, 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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Related Services
Usage statistics
Scholar Google
Similar articles in Scholar Google
[Li, Zhong]'s Articles
[Ji, Yu]'s Articles
[Yang, Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Zhong]'s Articles
[Ji, Yu]'s Articles
[Yang, Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Zhong]'s Articles
[Ji, Yu]'s Articles
[Yang, Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 10.1109@3DV.2017.00063.pdf
Format: Adobe PDF
File name: 10.1109@3DV.2017.00063.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.