Simulating and Validating Facial Expressions using an Anatomically Accurate Biomechanical Model Derived from MRI Data - Towards Fast and Realistic Generation of Animated Characters

Tim Wu, Peter Hunter, Kumar Mithraratne

2013

Abstract

A detailed high-order (cubic-Hermite) finite element model of the human head was constructed from anatomical data segmented from MR images. The model includes a superficial soft-tissue mesh (skin, subcutaneous layer and superficial musculo-aponeurotic system), 20 muscles of facial expressions and several deep structures. Based on the theory of finite deformation elasticity together with large deformation contact constraints, quasi-static facial expressions were generated by activating transversely isotropic muscles that were accurately depicted by their respective anatomical geometries. Material (muscle-fat) heterogeneity was also introduced to capture the realistic formation of skin folds. Using the described approach, four facial expressions were simulated and compared with the surface data obtained from a 3D structured-light scanner. Predicted expressions showed good agreement with the experimental data.

Paper Citation

in Harvard Style

Wu T., Hunter P. and Mithraratne K. (2013). Simulating and Validating Facial Expressions using an Anatomically Accurate Biomechanical Model Derived from MRI Data - Towards Fast and Realistic Generation of Animated Characters . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 267-272. DOI: 10.5220/0004293502670272

in Bibtex Style

@conference{grapp13,
author={Tim Wu and Peter Hunter and Kumar Mithraratne},
title={Simulating and Validating Facial Expressions using an Anatomically Accurate Biomechanical Model Derived from MRI Data - Towards Fast and Realistic Generation of Animated Characters},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)},
year={2013},
pages={267-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004293502670272},
isbn={978-989-8565-46-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2013)
TI - Simulating and Validating Facial Expressions using an Anatomically Accurate Biomechanical Model Derived from MRI Data - Towards Fast and Realistic Generation of Animated Characters
SN - 978-989-8565-46-4
AU - Wu T.
AU - Hunter P.
AU - Mithraratne K.
PY - 2013
SP - 267
EP - 272
DO - 10.5220/0004293502670272