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Facial Muscle Activations from Motion Capture

Eftychios Sifakis, Ronald Fedkiw
Computer Vision and Pattern Recognition Conference (CVPR) — 2005
    Download the publication : activations_vpcvpr_2005.pdf [907Ko]  
    Biomechanically accurate finite element models of facial musculature offer a superior accuracy in reproducing facial expressions, the ability to adapt the simulation model to a particular subject as well as a compact and biophysically meaningful parameterization of expressions in terms of the muscle activations and bone motion that give rise to them. 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. We use a hyperelastic, transversely isotropic constitutive model to simulate passive flesh and 32 dominant muscles of the face. 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.

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      author       = "Sifakis, Eftychios and Fedkiw, Ronald",
      title        = "Facial Muscle Activations from Motion Capture",
      booktitle    = "Computer Vision and Pattern Recognition Conference (CVPR)",
      year         = "2005",
      url          = "http://graphics.cs.wisc.edu/Papers/2005/SF05"

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