Estimation of Rigid and Non-Rigid Facial Motion Using Anatomical Face Model

  • Authors:
  • Alper Yilmaz;Khurram Shafique;Mubarak Shah

  • Affiliations:
  • -;-;-

  • Venue:
  • ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
  • Year:
  • 2002

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Abstract

We present a model-based approach to recover the rigid and non-rigid facial motion parameters in video sequences. Our face model is based on anatomically motivated muscle actuator controls to model the articulated non-rigid motion of a human face. The model is capable of generating a variety of facial expressions by using a small number of muscle actuator controls. We estimate rigid and non-rigid parameters in two steps. First, we use a multi-resolution scheme to recover the global 3D rotation and translation by linear least squareminimization. Then, we estimate the muscle actuator controls using the Levenberg-Marquardt minimization technique applied to a function, which is constrained by both optical flow and the dynamics of the deformable model. We present the results of our system on both real and synthetic images.