Full Body Statistical Shape Modeling with Posture Normalization

  • Femke DanckaersEmail author
  • Toon Huysmans
  • Ann Hallemans
  • Guido De Bruyne
  • Steven Truijen
  • Jan Sijbers
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 591)


Realistic virtual mannequins, that represent body shapes that occur in the target population, are valuable tools for product developers who design near-body products. Statistical shape modeling is a promising approach to map out the variability of body shapes. The strength of statistical shape models (SSM) is their ability to capture most of the shape variation with only a few shape modes. Unfortunately, the shape variation captured by SSMs of human bodies is often polluted by variations in posture, which substantially reduces the compactness of those models. In this paper, we propose a fast and data driven framework to build a posture invariant SSM. The normalized SSM is shown to be substantially more compact than the non-normalized SSM. Using five shape modes, the normalized SSM is 23% more compact than the non-normalized SSM.


Posture normalization Human body modeling 3D anthropometry Statistical shape model SSM 



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 2018

Authors and Affiliations

  • Femke Danckaers
    • 1
    Email author
  • Toon Huysmans
    • 1
  • Ann Hallemans
    • 2
    • 4
  • Guido De Bruyne
    • 3
  • Steven Truijen
    • 2
    • 4
  • Jan Sijbers
    • 1
  1. 1.imec - Vision Lab, Department of Physics, Faculty of SciencesUniversity of AntwerpAntwerpBelgium
  2. 2.Multidisciplinary Motor Centre AntwerpUniversity of AntwerpAntwerpBelgium
  3. 3.Department of Product Development, Faculty of Design SciencesUniversity of AntwerpAntwerpBelgium
  4. 4.Department of Rehabilitation Sciences and Physiotherapy, Faculty of Medicine and Health SciencesUniversity of AntwerpAntwerpBelgium

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