Principal Geodesic Dynamics

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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents a new integration of a data-driven approach using dimension reduction and a physicallybased simulation for real-time character animation. We exploit Lie group statistical analysis techniques (Principal Geodesic Analysis, PGA) to approximate the pose manifold of a motion capture sequence by a reduced set of pose geodesics. We integrate this kinematic parametrization into a physically-based animation approach of virtual characters, by using the PGA-reduced parametrization directly as generalized coordinates of a Lagrangian formulation of mechanics. In order to achieve real-time without sacrificing stability, we derive an explicit time integrator by approximating existing variational integrators. Finally, we test our approach in task-space motion control. By formulating both physical simulation and inverse kinematics time stepping schemes as two quadratic programs, we propose a features-based control algorithm that interpolates between the two metrics. This allows for an intuitive trade-off between realistic physical simulation and controllable kinematic manipulation.
Description

        
@inproceedings{
:10.2312/SCA/SCA12/235-244
, booktitle = {
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation
}, editor = {
Jehee Lee and Paul Kry
}, title = {{
Principal Geodesic Dynamics
}}, author = {
Tournier, Maxime
and
Reveret, Lionel
}, year = {
2012
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-5288
}, ISBN = {
978-3-905674-37-8
}, DOI = {
/10.2312/SCA/SCA12/235-244
} }
Citation