Model-based estimation of facial expression parameters from image sequences

Author

Eisert, Peter ; Girod, Bernd

Author_Institution

Telecommun. Inst., Erlangen-Nurnberg Univ., Germany

Volume

2

fYear

1997

fDate

26-29 Oct 1997

Firstpage

418

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.638797

Filename

638797