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Model-based estimation of facial expression parameters from image sequences
Proceedings of International Conference on Image Processing
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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
doi:10.1109/icip.1997.638797
dblp:conf/icip/EisertG97
fatcat:zy5kcl2lkzabredbadgdr2mycm