Aiming at defects of traditional Adaboost algorithm and principal component analysis( PCA) algorithm for face recognition in environment and pose and other nonbinding condition recognition rate is greatly reduced and the requirements of training samples in accordance with the Gauss distribution,a fusion of Adaboost and PCA and or related decision-making method is proposed. On the one hand,when the security mode is needed,the request of the whole negative sample is rejected,and the correct rate of recognitio...
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