Abstract For robust face detection, lighting is considered as one of the greatest challenges. The three-step face detection framework provides a practical method for real-time face detection. In this framework, the last step can employ computation extensive method to remove the false alarm and usually some de-lighting methods are done. It is complex to model the lighting variance precisely. The usually used simplified lighting model fails under non-uniform lighting conditions for the reason that it cannot account for the cast shadow, shading, and highlight, which are the main variances caused by non-uniform lighting. According to the adaptation capacity of the human vision system, we propose a perception based mapping method (PMM) to balance the influence of non-uniform lighting. Experimental results indicate that with PMM as the lighting-filter the false positives caused by lighting variance can be removed more accurately in the face detection tasks. PMM shows its outstanding performance especially under the extreme lighting conditions.


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    Titel :

    Perception Based Lighting Balance for Face Detection


    Beteiligte:
    Jiang, Xiaoyue (Autor:in) / Sun, Pei (Autor:in) / Xiao, Rong (Autor:in) / Zhao, Rongchun (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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