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3D HUMAN MODEL ACQUISITION FROM UNCALIBRATED MONOCULAR VIDEO

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

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Abstract

This paper presents a novel method to reconstruct 3D body surface model of human figure from 2D uncalibrated monocular video. Unlike other works on body reconstruction from monocular video where either the source video are strictly selected or the skeleton proportions are assumed available beforehand, the proposed system automatically recovers the skeleton proportions and rebuild the 3D human body shape in NURBS format without pose estimation.

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Author information

Authors and Affiliations

  1. Department of Computing, Curtin University of Technology, Perth, 6845, Australia

    En Peng & Ling Li

Authors
  1. En Peng
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  2. Ling Li
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Peng, E., Li, L. (2006). 3D HUMAN MODEL ACQUISITION FROM UNCALIBRATED MONOCULAR VIDEO. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_148

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_148

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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