Motion Synthesis Using Style-Editable Inverse Kinematics

Authors:
Gengdai Liu;Zhigeng Pan;Ling Li
Affiliations:
State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China 310058;State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China 310058;State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China 310058
Venue:
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Year:
2009

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Abstract

In this paper, a new low-dimensional motion model that can parameterize human motion style is presented. Based on this model, a human motion synthesis approach by using constrainted optimization in a low-dimensional space is proposed. We define a new inverse kinematics solver in this low-dimensional space to generate the required motions meeting user-defined space constraints at key-frames. Our approach can also allow users to edit motion style explicitly by specifying the style parameter. The experimental results demonstrate the effectiveness of this approach which can be used for interactive motion editing.