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  Marker-free Kinematic Skeleton Estimation from Sequences of Volume Data

Theobalt, C., de Aguiar, E., Magnor, M., Theisel, H., & Seidel, H.-P. (2004). Marker-free Kinematic Skeleton Estimation from Sequences of Volume Data. In R. Lau, & G. Baciu (Eds.), Proceedings of the ACM Symposium on Virtual Reality Software and Technology (VRST'04) (pp. 57-64). New York, USA: ACM.

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vrst04.pdf (Publisher version), 2MB
 
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 Creators:
Theobalt, Christian1, 2, Author           
de Aguiar, Edilson1, Author           
Magnor, Marcus3, Author           
Theisel, Holger1, Author           
Seidel, Hans-Peter1, Author           
Lau, Rynson4, Editor
Baciu, George4, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              
3Graphics - Optics - Vision, MPI for Informatics, Max Planck Society, ou_1116549              
4Max Planck Society, ou_persistent13              

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Language(s): eng - English
 Dates: 2005-05-302004
 Publication Status: Issued
 Pages: -
 Publishing info: New York, USA : ACM
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 241623
Other: Local-ID: C1256BDE005F57A8-0D8C31AAD119A87AC1256F47003A4910-Theobalt2004:MFK
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Title: Untitled Event
Place of Event: Hong Kong, China
Start-/End Date: 2004-11-10

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Title: Proceedings of the ACM Symposium on Virtual Reality Software and Technology (VRST'04)
Source Genre: Proceedings
 Creator(s):
Lau, Rynson, Editor
Baciu, George, Editor
Affiliations:
-
Publ. Info: New York, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 57 - 64 Identifier: ISBN: 1-58113-907-1