Principal Geodesic Dynamics - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Principal Geodesic Dynamics

Maxime Tournier
  • Fonction : Auteur
  • PersonId : 989576
Lionel Reveret

Résumé

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.
Fichier principal
Vignette du fichier
paperSCAfinal.pdf (2.2 Mo) Télécharger le fichier
Vignette du fichier
pgd.jpg (130.34 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Format Figure, Image
Loading...

Dates et versions

hal-00727384 , version 1 (06-09-2012)

Identifiants

Citer

Maxime Tournier, Lionel Reveret. Principal Geodesic Dynamics. SCA 2012 - EG/SIGGRAPH Symposium on Computer Animation, Jul 2012, Lausanne, Switzerland. pp.235-244, ⟨10.2312/SCA/SCA12/235-244⟩. ⟨hal-00727384⟩
649 Consultations
747 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More