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Conference Paper

Marker-free Kinematic Skeleton Estimation from Sequences of Volume Data

MPS-Authors
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Theobalt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;
Programming Logics, MPI for Informatics, Max Planck Society;

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de Aguiar,  Edilson
Computer Graphics, MPI for Informatics, Max Planck Society;

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Magnor,  Marcus
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

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Theisel,  Holger
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

Lau,  Rynson
Max Planck Society;

Baciu,  George
Max Planck Society;

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Citation

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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2BB8-B
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