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  Dynamic FAUST: Registering Human Bodies in Motion

Bogo, F., Romero, J., Pons-Moll, G., & Black, M. J. (2017). Dynamic FAUST: Registering Human Bodies in Motion. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (pp. 5573-5582). Piscataway, NJ, USA: IEEE. doi: 10.1109/CVPR.2017.591.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-FC4D-F Version Permalink: https://hdl.handle.net/21.11116/0000-0004-7DD9-C
Genre: Conference Paper

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 Creators:
Bogo, Federica1, Author
Romero, Javier1, Author
Pons-Moll, Gerard2, Author           
Black, Michael J.2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2017-11-092017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: dfaust:CVPR:2017
DOI: 10.1109/CVPR.2017.591
 Degree: -

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Place of Event: Honolulu, HI, USA
Start-/End Date: 2017-07-21 - 2017-07-26

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Title: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 5573 - 5582 Identifier: ISBN: 978-1-5386-0457-1
ISBN: 978-1-5386-0458-8
ISSN: 1063-6919