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and not practical for interactive applications, they
can be useful in generating data sets for fast
surrogate-based modelling (Queipo et al., 2005).
Work on the surrogate-based modelling technique is
already underway. In addition, using appropriate
fitting and customisation procedures, the detailed
finite element model developed in this study can be
readily morphed into another subject, hence
reducing the manual intensive effort when creating a
population of face models.
ACKNOWLEDGEMENTS
The work presented in this paper was funded by
Foundation for Research, Science and Technology
of New Zealand under the grant number
UOAX0712.
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Smile (mouth closed) Smile (mouth opened) Sad Terror
Figure 6: Numerical simulations of four primary facial expressions, showing the projection errors between the simulated
deformed configuration and structure-light surface data.
SimulatingandValidatingFacialExpressionsusinganAnatomicallyAccurateBiomechanicalModelDerivedfromMRI
Data-TowardsFastandRealisticGenerationofAnimatedCharacters
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