Analysis and synthesis of facial image sequences using physical andanatomical models
Terzopoulos, D.
Waters, K.
Dept. of Comput. Sci., Toronto Univ., Ont.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jun 1993
Volume: 15,
Issue: 6
On page(s): 569-579
ISSN: 0162-8828
References Cited: 35
CODEN: ITPIDJ
INSPEC Accession Number: 4465222
Digital Object Identifier: 10.1109/34.216726
Current Version Published: 2002-08-06
Abstract
An approach to the analysis of dynamic facial images for the
purposes of estimating and resynthesizing dynamic facial expressions is
presented. The approach exploits a sophisticated generative model of the
human face originally developed for realistic facial animation. The face
model which may be simulated and rendered at interactive rates on a
graphics workstation, incorporates a physics-based synthetic facial
tissue and a set of anatomically motivated facial muscle actuators. The
estimation of dynamical facial muscle contractions from video sequences
of expressive human faces is considered. An estimation technique that
uses deformable contour models (snakes) to track the nonrigid motions of
facial features in video images is developed. The technique estimates
muscle actuator controls with sufficient accuracy to permit the face
model to resynthesize transient expressions
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