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Enhancing Silhouette-based Human Motion Capture with 3D Motion Fields

MPG-Autoren
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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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Carranza,  Joel
Computer Graphics, MPI for Informatics, Max Planck Society;
Graphics - Optics - Vision, 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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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Theobalt, C., Carranza, J., Magnor, M., & Seidel, H.-P. (2003). Enhancing Silhouette-based Human Motion Capture with 3D Motion Fields. In J. Rokne, R. Klein, & W. Wang (Eds.), Proceedings of the 11th Pacific Conference on Computer Graphics and Applications (pp. 185-193). Los Alamitos, USA: IEEE.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000F-2CDF-B
Zusammenfassung
High-quality non-intrusive human motion capture is necessary for acquistion
of model-based free-viewpoint video of human actors.
Silhouette-based approaches have demonstrated that they are able to
accurately recover a large range of human motion from multi-view video.
However, they fail to make use of all available information, specifically that
of texture information. This paper presents an algorithm
that uses motion fields constructed from optical flow in multi-view video
sequences.

The use of motion fields augments the silhoutte-based method by incorporating
texture-information into the tracking process.
The algorithm is a key-component in a larger free-viewpoint video system of
human actors.
Our results demonstrate that our method accurately estimates pose parameters
and allows for realistic texture generation in 3D video sequences.