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Authors: E. Chaudhry 1 ; L. H. You 1 ; X. Jin 2 and Jian J. Zhang 1

Affiliations: 1 National Centre for Computer Animation and Bournemouth University, United Kingdom ; 2 State Key Lab of CAD & CG and Zhejiang University, China

Keyword(s): Virtual Characters, Skeleton Driven Animation, Joint Determination, Statistical Analysis, Skin Deformation.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Human Figure Animation ; Modeling and Algorithms ; Scene and Object Modeling ; Surface Modeling

Abstract: Skeleton driven character animation is the most popular animation technique. It has been widely applied in the current computer animation industry. Correct determination of joint positions plays a very important role in creating realistic skin deformation of character animation. Current various approaches of skeleton driven character animation have not addressed this issue. In this paper, we propose a statistical method to determine the correct joint position using the statistical data analysis of different X-ray joint images. First, we measure different joint positions from sample X-ray images. Then, we statistically analyse the data, and obtain relative mean and maximum and minimum positions together with the relative range of joints which are used to determine correct joint positions.

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Paper citation in several formats:
Chaudhry, E.; You, L.; Jin, X. and Zhang, J. (2013). Statistical Analysis of Joint Determination for Skeleton Driven Animation of Human Hands. In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - GRAPP; ISBN 978-989-8565-46-4; ISSN 2184-4321, SciTePress, pages 123-126. DOI: 10.5220/0004303201230126

@conference{grapp13,
author={E. Chaudhry. and L. H. You. and X. Jin. and Jian J. Zhang.},
title={Statistical Analysis of Joint Determination for Skeleton Driven Animation of Human Hands},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - GRAPP},
year={2013},
pages={123-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004303201230126},
isbn={978-989-8565-46-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (VISIGRAPP 2013) - GRAPP
TI - Statistical Analysis of Joint Determination for Skeleton Driven Animation of Human Hands
SN - 978-989-8565-46-4
IS - 2184-4321
AU - Chaudhry, E.
AU - You, L.
AU - Jin, X.
AU - Zhang, J.
PY - 2013
SP - 123
EP - 126
DO - 10.5220/0004303201230126
PB - SciTePress