Biomechanically accurate finite element models of facial musculature offer a superior accuracy in reproducing facial expressions. We employ such a finite element simulation model to determine the muscle activations and kinematic configuration of the rigid bones associated with an expression from a sparse sampling of the deformation of the face surface over time, acquired using a motion capture system. Our simulation model, consisting of 840K tetrahedral elements, was created through non-rigid registration of a muscle geometry template derived from the visible human dataset to MRI volumetric data acquired from the motion capture subject.
Facial muscle activations from motion capture
2005-01-01
93588 byte
Conference paper
Electronic Resource
English
Optimized Selective Activations for Networked Filtering
IEEE | 2023
|Substorm Activations: Comparison of Fine Structures
Online Contents | 1999
|Substorm Activations: Comparison of Fine Structures
British Library Conference Proceedings | 1999
|