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Automatic Human Model Generation

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Computer Analysis of Images and Patterns (CAIP 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3691))

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Abstract

The contribution presents an integrated system for automatic acquisition of a human torso model, using different input images. The output model consists of two free-form surface patches (with texture maps) for the torso and the arms. Also, the positions for the neck joint on the torso, and six joint positions on the arms (for the wrist, elbow and shoulder) are determined automatically. We present reconstruction results, and, as application, a simple tracking system for arm movements.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Auckland (CITR), Private Bag 92019, Auckland, New Zealand

    Bodo Rosenhahn, Lei He & Reinhard Klette

Authors
  1. Bodo Rosenhahn
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  2. Lei He
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  3. Reinhard Klette
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Editor information

Editors and Affiliations

  1. INRIA-Rocquencourt, Domaine de Voluceau, BP105, 78153, Le Chesnay, France

    André Gagalowicz

  2. Ghent University, 9000, Gent, Belgium

    Wilfried Philips

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© 2005 Springer-Verlag Berlin Heidelberg

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Rosenhahn, B., He, L., Klette, R. (2005). Automatic Human Model Generation. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_6

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  • DOI: https://doi.org/10.1007/11556121_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28969-2

  • Online ISBN: 978-3-540-32011-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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