Model-Based Estimation of Facial Expression Parameters from Image Sequences

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.

• Type: Conference
• Year: 1997
• Where: ICIP
• Authors: Peter Eisert, Bernd Girod
• Keywords: Facial Animation Parameters, Facial Expressions, ICIP 1997, Image Processing, Triangular Bspline Model