Motion Synthesis Using Style-Editable Inverse Kinematics
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
A stylistic human motion editing system based on a subspace motion model
International Journal of Computer Applications in Technology
Modeling joint synergies to synthesize realistic movements
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
| Hi-index | 0.00 |
In this paper, we present a novel real-time motion synthesis approach that can generate 3D character animation with required style. The effectiveness of our approach comes from learning captured 3D human motion as a self-organizing mixture network (SOMN); of parametric Gaussians.The learned model describes the motion under the control of a vector variable called style variable, and acts as a probabilistic mapping from the low-dimensional style values to the high-dimensional 3D poses. We design a pose synthesis algorithm to allow the user to generate poses by specifying new style values. We also propose a novel motion synthesis method, the key-styling, which accepts a sparse sequence of key style values and interpolates a dense sequence of style values to synthesize an animation. Key-styling is able to produce animations that are more realistic and natural-looking than those synthesized with the traditional key-keyframing technique. Copyright © 2006 John Wiley & Sons, Ltd.