We address the 3D tracking of pose and animation of the human face in monocular image sequences using active appearance models. The classical appearance-based tracking suffers from two disadvantages: (i) the estimated out-of-plane motions are not very accurate, and (ii) the convergence of the optimization process to desired minima is not guaranteed. We aim at designing an efficient active appearance model, which is able to cope with the above disadvantages by retaining the strengths of feature-based and featureless tracking methodologies. For each frame, the adaptation is split into two consecutive stages. In the first stage, the 3D head pose is recovered using robust statistics and a measure of consistency with a statistical model of a face texture. In the second stage, the local motion associated with some facial features is recovered using the concept of the active appearance model search. Tracking experiments and method comparison demonstrate the robustness and out-performance of the developed framework.


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    Titel :

    Efficient active appearance model for real-time head and facial feature tracking


    Beteiligte:
    Dornaika, F. (Autor:in) / Ahlberg, J. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    544133 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Dornaika, F. / Ahlberg, J. / IEEE | British Library Conference Proceedings | 2003


    Using the Active Appearance Algorithm for Face and Facial Feature Tracking

    Ahlberg, J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2001



    Facial Features Tracking using Active Appearance Models

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