Principal Geodesic Dynamics
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Date
2012
Authors
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}
}