Principal geodesic dynamics

  • Authors:
  • M. Tournier;L. Reveret

  • Affiliations:
  • Université de Montpellier 2 and DEMAR-LIRMM;Université de Grenoble (LJK)

  • Venue:
  • Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
  • Year:
  • 2012

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Abstract

This paper presents a new integration of a data-driven approach using dimension reduction and a physically-based 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.