“Garment Motion Capture Using Color-Coded Patterns” by Scholz, Stich, Magnor, Keckeisen and Wacker
Conference:
Type(s):
Title:
- Garment Motion Capture Using Color-Coded Patterns
Session/Category Title: Capture and Simulation of Cloth
Presenter(s)/Author(s):
Abstract:
We present a new 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 coherent 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.
References:
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Morano, R. A., Ozturk, C., Conn, R., Dubin, S., Zietz, S., and Nissanov, J. 1998. Structured light using pseudorandom codes. IEEE Trans. Pattern Anal. Mach. Intell. 20, 3, 322–327.]]
Pritchard, D., and Heidrich, W. 2003. Cloth motion capture. Comput. Graph. Forum 22, 3, 263–272. (Proc. Eurographics 2003).]]
Scholz, V., Stich, T., Keckeisen, M., Wacker, M., and Magnor, M., 2005. Garment motion capture using color-coded patterns. To appear in Proc. Eurographics 2005.]]
