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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. (2020). DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2523-2539. doi: 10.1109/TPAMI.2019.2928296.

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Genre: Journal Article
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 Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20202020
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: DoubleFusion20
DOI: 10.1109/TPAMI.2019.2928296
 Degree: -

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Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
  Other : IEEE Trans. Pattern Anal. Mach. Intell.
Source Genre: Journal
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Affiliations:
Publ. Info: New York, NY : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2523 - 2539 Identifier: ISSN: 0162-8828
CoNE: https://pure.mpg.de/cone/journals/resource/954925479551