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Face detection is critical to the application based on human face. Accurate and quick face detection has a determining effect on its following process, like face verification and face recognition etc. Adaboost algorithm has been regarded as a very effective machine learning algorithm that can be applied to the face detection. This paper shows an algorithm combining skin tone detector and adaboost learning structure is put forward to push the state-of-art of the algorithm, it could reduce the number of window to be scanned to 20% of the conventional approach, thus can satisfy the real-time requirement in related application where the facial images are captured from video stream of D1 format.
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