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Automatic Generation of Statistical Shape Models in Motion

  • Femke Danckaers
  • Sofia Scataglini
  • Robby Haelterman
  • Damien Van Tiggelen
  • Toon Huysmans
  • Jan Sijbers
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 780)

Abstract

Statistical body shape modeling (SBSM) is a well-known technique to map out the variability of body shapes and is commonly used in 3D anthropometric analyses. In this paper, a new approach to integrate movement acquired by a motion capture system with a body shape is proposed. This was done by selecting landmarks on a body shape model, and predicting a body shape based on features. Then, a virtual skeleton was generated relative to those landmarks. This skeleton was parented to a body shape, allowing to modify its pose and to add pre-recorded motion to different body shapes in a realistic way.

Keywords

Statistical body shape model Motion capturing Shape prediction 

Notes

Acknowledgements

This work was supported by the Agency for Innovation by Science and Technology in Flanders (IWT-SB 141520).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Femke Danckaers
    • 1
  • Sofia Scataglini
    • 2
    • 3
  • Robby Haelterman
    • 2
  • Damien Van Tiggelen
    • 3
  • Toon Huysmans
    • 1
    • 4
  • Jan Sijbers
    • 1
  1. 1.imec – Vision Lab, Department of PhysicsUniversity of AntwerpAntwerpBelgium
  2. 2.Department of Mathematics (MWMW)Royal Military AcademyBrusselsBelgium
  3. 3.Military Hospital Queen AstridBrusselsBelgium
  4. 4.Applied Ergonomics and Design, Department of Industrial DesignTU DelftDelftThe Netherlands

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