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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    Title :

    Illumination invariant head pose estimation using single camera


    Contributors:
    Nanda, H. (author) / Fujimura, K. (author)


    Publication date :

    2003-01-01


    Size :

    343079 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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