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Cloth X-Ray: MoCap of People Wearing Textiles

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4174))

Abstract

The contribution presents an approach for motion capturing (MoCap) of dressed people. A cloth draping method is embedded in a silhouette based MoCap system and an error functional is formalized to minimize image errors with respect to silhouettes, pose and kinematic chain parameters, the cloth draping components and external wind forces. We report on various experiments with two types of clothes, namely a skirt and a pair of shorts. Finally we compare the angles of the MoCap system with results from a commercially available marker based tracking system. The experiments show, that we are basically within the error range of marker based tracking systems, though body parts are occluded with cloth.

We gratefully acknowledge funding by the Max-Planck Center for visual computing and communication.

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© 2006 Springer-Verlag Berlin Heidelberg

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Rosenhahn, B., Kersting, U.G., Powell, K., Seidel, HP. (2006). Cloth X-Ray: MoCap of People Wearing Textiles. In: Franke, K., Müller, KR., Nickolay, B., Schäfer, R. (eds) Pattern Recognition. DAGM 2006. Lecture Notes in Computer Science, vol 4174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861898_50

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  • DOI: https://doi.org/10.1007/11861898_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44412-1

  • Online ISBN: 978-3-540-44414-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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