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Conference Paper

Multi-View Video Capture of Garment Motion


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


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

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Scholz, V., & Magnor, M. (2006). Multi-View Video Capture of Garment Motion. In P. H. de With, C. Varekamp, D. S. Farin, & Y. Morvan (Eds.), Content Generation and Coding for 3D-Television (pp. 1-4). Eindhoven, Netherlands: Technische Universiteit Eindhoven.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-24B2-9
We present an image-based algorithm for surface reconstruction of moving garments 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 coherent parametrization 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.