Face Detection Based on the Improved AdaBoost Algorithm ?
نویسندگان
چکیده
In order to solve the overfitting of sample weights and the low detection rate in training process of the traditional AdaBoost algorithm, an improved AdaBoost algorithm based on Haar-like features and LBP features is proposed. This method improves weight updating rule and weights normalization rule of the traditional AdaBoost algorithm. Then combining this method with the AdaBoost algorithm based on Haar-like features and MB-LBP features fusion. The experiment result shows that this method can effectively reduce the overfitting of sample weights and improve the detection rate.
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