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Authors: Brian Wilke and Sudhanshu K. Semwal

Affiliation: University of Colorado, United States

ISBN: 978-989-758-224-0

Keyword(s): Articulated Motion, Motion Capture, Novel Application, Asymmetric Scaling, Under Controlling.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Animation from Motion Capture ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Physics-Based Modeling

Abstract: Motion captures are an industry standard for producing high-quality, realistic animations. However, generating novel animations from motion captures remains a complex, non-trivial problem. Many techniques have been developed, including kinematics and manually solving the equations of motion. We present a new technique using a physics engine to generate novel animations. Motion captures are effectively simulated within a popular open-source physics engine, Bullet, and two generative techniques are applied. These generative techniques -- asymmetric scaling and under-controlling -- are shown to be simple and straight-forward. The techniques and methods were implemented in Python and C++, and show new promising avenues for generative animation using existing motion captures

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Paper citation in several formats:
Wilke, B. and Semwal, S. (2017). Generative Animation in a Physics Engine using Motion Captures.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, (VISIGRAPP 2017) ISBN 978-989-758-224-0, pages 250-257. DOI: 10.5220/0006134702500257

@conference{grapp17,
author={Brian Wilke. and Sudhanshu K. Semwal.},
title={Generative Animation in a Physics Engine using Motion Captures},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, (VISIGRAPP 2017)},
year={2017},
pages={250-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006134702500257},
isbn={978-989-758-224-0},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, (VISIGRAPP 2017)
TI - Generative Animation in a Physics Engine using Motion Captures
SN - 978-989-758-224-0
AU - Wilke, B.
AU - Semwal, S.
PY - 2017
SP - 250
EP - 257
DO - 10.5220/0006134702500257

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