Model-Based Estimation of Facial Expression Parameters from Image Sequences

نویسندگان

  • Peter Eisert
  • Bernd Girod
چکیده

In this paper we present a model-based algorithm for the estimation of 3D motion and the analysis of facial expressions of a speaking person. A set of facial animation parameters based on the MPEG-4 standard is determined from two successive video frames using a hierarchical optical flow based method. The motion in the image plane is constrained by a 3D triangular Bspline model that defines shape, texture and facial expressions of an individual person. The computational requirement for this solution is low due to the linear structure of the algorithm.

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تاریخ انتشار 1997