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3D Head Tracking and Facial Expression Recovery using an Anthropometric Muscle-based Active Appearance Model

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3 Author(s)
Cordea, M.D. ; Ottawa Univ., Ottawa, ON ; Petriu, E.M. ; Petriu, D.C.

This paper describes a novel 3D model-based tracking algorithm allowing real-time recovery of 3D position, orientation and facial expressions of a moving head. The method uses a 3D anthropometric muscle-based active appearance model (3D AMB AAM), a feature-based matching algorithm, and an extended Kalman filter (EKF) pose and expression estimator. Our model is an extension of the classical 2D AAM, and uses a generic 3D wireframe model of the face, based on two sets of controls: the anatomically motivated muscle actuators to model facial expressions and statistically-based anthropometrical controls to model different facial types.

Published in:

Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE

Date of Conference:

1-3 May 2007