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2018 | OriginalPaper | Chapter

Motion Transition Based on Bézier Quaternion Curve

Authors : Yancai Lu, Shuling Dai

Published in: Proceedings of 2017 Chinese Intelligent Automation Conference

Publisher: Springer Singapore

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Abstract

Motion transition of virtual human is usually used for changing from one motion to another, which is one of the most important motion editing methods for virtual human motion capture data reuse. In this paper, we present a solution to connect virtual human motion clips smoothly by using bézier quaternion curve. Four control points are used to determine the shape of the bézier quaternion curve and De Casteljau’s algorithm is for calculating interpolation points. Slerp (the abbreviation of quaternion spherical linear interpolation) is chosen as the interpolation method. As a result, realistic and real-time human motion transition is achieved, as experimentally demonstrated with the walking and running motion sequences.

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Metadata
Title
Motion Transition Based on Bézier Quaternion Curve
Authors
Yancai Lu
Shuling Dai
Copyright Year
2018
Publisher
Springer Singapore
Book
Proceedings of 2017 Chinese Intelligent Automation Conference

Print ISBN: 978-981-10-6444-9

Electronic ISBN: 978-981-10-6445-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-6445-6_73