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.
CITATION STYLE
Danckaers, F., Scataglini, S., Haelterman, R., Van Tiggelen, D., Huysmans, T., & Sijbers, J. (2019). Automatic generation of statistical shape models in motion. In Advances in Intelligent Systems and Computing (Vol. 780, pp. 170–178). Springer Verlag. https://doi.org/10.1007/978-3-319-94223-0_16
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