Automatic Generation of Statistical Shape Models in Motion

TitleAutomatic Generation of Statistical Shape Models in Motion
Publication TypeConference Paper
Year of Publication2019
AuthorsF. Danckaers, S. Scataglini, R. Haelterman, D. Van Tiggelen, T. Huysmans, and J. Sijbers
EditorD. N. Cassenti
Conference NameAdvances in Human Factors in Simulation and Modeling
Pagination170–178
PublisherSpringer International Publishing
Conference LocationCham
ISBN Number978-3-319-94223-0
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.

DOI10.1007/978-3-319-94223-0_16
Research area: