Facial Muscle Activations from Motion Capture
Abstract
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.
Cite
Text
Sifakis and Fedkiw. "Facial Muscle Activations from Motion Capture." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.154Markdown
[Sifakis and Fedkiw. "Facial Muscle Activations from Motion Capture." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/sifakis2005cvpr-facial/) doi:10.1109/CVPR.2005.154BibTeX
@inproceedings{sifakis2005cvpr-facial,
title = {{Facial Muscle Activations from Motion Capture}},
author = {Sifakis, Eftychios and Fedkiw, Ronald},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2005},
pages = {1195},
doi = {10.1109/CVPR.2005.154},
url = {https://mlanthology.org/cvpr/2005/sifakis2005cvpr-facial/}
}