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Garment Motion Capture Using Color-Coded Patterns

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45416

Scholz,  Volker
Computer Graphics, MPI for Informatics, Max Planck Society;
Graphics - Optics - Vision, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45555

Stich,  Timo
International Max Planck Research School, MPI for Informatics, Max Planck Society;
Graphics - Optics - Vision, 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;

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Zitation

Scholz, V., Stich, T., Keckeisen, M., Wacker, M., & Magnor, M. (2005). Garment Motion Capture Using Color-Coded Patterns. Computer Graphics Forum, 24(3), 439-448.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000F-2877-F
Zusammenfassung
In this paper we present an image-based algorithm for surface reconstruction of moving garment from multiple calibrated video cameras. Using a color-coded cloth texture, we reliably match circular features between different camera views. As surface model we use an a priori known triangle mesh. By identifying the mesh vertices with texture elements we obtain a consistent parameterization of the surface over time without further processing. Missing data points resulting from self-shadowing are plausibly interpolated by minimizing a thin-plate functional. The deforming geometry can be used for different graphics applications, e.g. for realistic retexturing. We show results for real garments demonstrating the accuracy of the recovered flexible shape.