Title :
Model-based estimation of facial expression parameters from image sequences
Author :
Eisert, Peter ; Girod, Bernd
Author_Institution :
Telecommun. Inst., Erlangen-Nurnberg Univ., Germany
Abstract :
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 B-spline 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
Keywords :
code standards; computer animation; data compression; image segmentation; image sequences; image texture; motion estimation; parameter estimation; telecommunication standards; video coding; 3D motion estimation; 3D triangular B-spline model; MPEG-4 standard; computational requirement; facial animation parameters; facial expression parameters; hierarchical optical flow based method; image plane; image sequences; linear algorithm; model-based algorithm; model-based estimation; shape; texture; video frames; Algorithm design and analysis; Cameras; Facial animation; Head; Image motion analysis; Image sequences; MPEG 4 Standard; Motion analysis; Motion estimation; Parameter estimation; Shape; Shape control; Spline;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638797
