A Statistical Model for Coupled Human Shape and Motion Synthesis

Alina Kuznetsova, Nikolaus F. Troje, Bodo Rosenhahn

2013

Abstract

Due to rapid development of virtual reality industry, realistic modeling and animation is becoming more and more important. In the paper, we propose a method to synthesize both human appearance and motion given semantic parameters, as well as to create realistic animation of still meshes and to synthesize appearance based on a given motion. Our approach is data-driven and allows to correlate two databases containing shape and motion data. The synthetic output of the model is evaluated quantitatively and in terms of visual plausibility.

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Paper Citation


in Harvard Style

Kuznetsova A., Troje N. and Rosenhahn B. (2013). A Statistical Model for Coupled Human Shape and Motion Synthesis . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 227-236. DOI: 10.5220/0004215602270236

in Bibtex Style

@conference{grapp13,
author={Alina Kuznetsova and Nikolaus F. Troje and Bodo Rosenhahn},
title={A Statistical Model for Coupled Human Shape and Motion Synthesis},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)},
year={2013},
pages={227-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004215602270236},
isbn={978-989-8565-46-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)
TI - A Statistical Model for Coupled Human Shape and Motion Synthesis
SN - 978-989-8565-46-4
AU - Kuznetsova A.
AU - Troje N.
AU - Rosenhahn B.
PY - 2013
SP - 227
EP - 236
DO - 10.5220/0004215602270236