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  DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

Yu, T., Zheng, Z., Guo, K., Zhao, J., Dai, Q., Li, H., et al. (in press). DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor. In 31st IEEE Conference on Computer Vision and Pattern Recognition.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-1E30-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-1E31-7
Genre: Conference Paper
Latex : {DoubleFusion}: {R}eal-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor

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 Creators:
Yu, Tao1, Author
Zheng, Zherong1, Author
Guo, Kaiwen1, Author
Zhao, Jianhui1, Author
Dai, Qionghai1, Author
Li, Hao1, Author
Pons-Moll, Gerard2, Author           
Liu, Yebin1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: DoubleFusion
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Title: 31st IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Salt Lake City, UT, USA
Start-/End Date: 2018-06-18 - 2018-06-22

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Title: 31st IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2018
  Subtitle : Proceedings
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -