3D Expressive face model-based tracking algorithm

Authors:
Marco Anisetti;Valerio Bellandi;E. Damiani;Fabrizio Beverina
Affiliations:
Department of Information Technology, University of Milan, Crema, CR, Italy;Department of Information Technology, University of Milan, Crema, CR, Italy;Department of Information Technology, University of Milan, Crema, CR, Italy;Advanced System Technology Group, STMicroelectronics, Agrate Brianza, Italy
Venue:
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Year:
2006

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Abstract

This paper presents a method for tracking a face on a video sequence, by recovering the full-motion and the expression deformation of the face using 3D expressive facial model. From some characteristic face points given on the first frame, an approximated 3D model of the face is reconstructed. Using a steepest descent image approach, the algorithm is able to extract simultaneously the parameters related to the face expression and to the 3D posture. The algorithm has been tested on the Kanade-Cohn database [1] and its precision has been compared with a standard multicamera system for the 3D tracking (ELITE2002 System). The results in both cases are good. The proposed approach is part of a facial expression analysis system. Our aim is to detect the facial expressions in situations characterized by a moderate head motion in realistic experimental conditions (illumination from the ceiling, and subjects not in frontal pose).