A learning based approach is presented for a single camera based robust head pose estimation in highly cluttered and complex real world environments. The method makes effective use of a recently introduced real-time 3D depth sensing technology, resulting in illumination-invariant head pose estimation. The main target application of our work is to classify the focus of attention of an automobile driver as straight-ahead, towards-rear-view mirror, towards the dash board, etc. This type of information is expected to be useful in conjunction with other sensors to enable safer driving.


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    Titel :

    Illumination invariant head pose estimation using single camera


    Beteiligte:
    Nanda, H. (Autor:in) / Fujimura, K. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    343079 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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