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Conference Paper

Video-driven animation of human body scans

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons43977

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45789

Zayer,  Rhaleb
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45610

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44965

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

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

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

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Citation

de Aguiar, E., Zayer, R., Theobalt, C., Magnor, M., & Seidel, H.-P. (2007). Video-driven animation of human body scans. In G. Triantafyllidis, & L. Onural (Eds.), IEEE 3DTV Conference (pp. 4379409.1-4). Piscataway, NJ, USA: IEEE.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-212F-F
Abstract
We present a versatile, fast and simple framework to generate animations of scanned human characters from input multiview video sequences. Our method is purely mesh-based and requires only a minimum of manual interaction. The proposed algorithm implicitly generates realistic body deformations and can easily transfer motions between human subjects of completely different shape and proportions. We feature a working prototype system that demonstrates that our method can generate convincing lifelike character animations from marker-less optical motion capture data.