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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© 2006 Springer-Verlag Berlin Heidelberg
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Jiang, X., Sun, P., Xiao, R., Zhao, R. (2006). Perception Based Lighting Balance for Face Detection. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_53
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DOI: https://doi.org/10.1007/11612704_53
Publisher Name: Springer, Berlin, Heidelberg
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