Face recognition using wireframe model across facial expressions

Authors:
Zahid Riaz;Christoph Mayer;Michael Beetz;Bernd Radig
Affiliations:
Institut für Informatik, Technische Universität München, Garching, Germany;Institut für Informatik, Technische Universität München, Garching, Germany;Institut für Informatik, Technische Universität München, Garching, Germany;Institut für Informatik, Technische Universität München, Garching, Germany
Venue:
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Year:
2009

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Abstract

This paper describes face recognition across facial expressions variations. We focus on an automatic feature extraction technique which is not only efficient but also accurate for person identification. A 3D wireframe model is fitted to face images using a robust objective function. Furthermore, we extract structural and textural information which is coupled with temoral information from the motion of local facial features. The extracted information is combined to form a feature vector descriptor for each image. This set of features has been tested on two databases for face recognition across facial expressions. We use Bayesian Network (BN) and Binary Decision Trees (BDT) as classifiers. The developed system is automatic, real-time capable and efficient.