Automatic generation of statistical shape models in motion
| Autor: | Jan Sijbers, Damien Van Tiggelen, Femke Danckaers, Toon Huysmans, Sofia Scataglini, Robby Haelterman |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Body shape
Movement (music) business.industry Computer science Physics 05 social sciences Skeleton (category theory) Motion capture 050105 experimental psychology Motion (physics) Motion capturing 0501 psychology and cognitive sciences Computer vision Artificial intelligence business 050107 human factors |
| Zdroj: | Advances in Human Factors in Simulation and Modeling. AHFE 2018. / Cassenti, D.N. [edit.] Advances in Intelligent Systems and Computing ISBN: 9783319942223 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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