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.

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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