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《Journal of South China University of Technology(Natural Science Edition)》 2007-01
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Fast Human Face-Detecting Algorithm Based on AdaBoost and Genetic Algorithm

Tang Xu-sheng Ou Zong-ying Su Tie-ming Hua Shun-gang (Key Laboratory for Precision and Non-Traditional Machining Tech.of the Ministry of Education,Dalian Univ.of Tech.,Dalian 116023,Liaoning,China)  
A novel fast human face-detecting algorithm is proposed to overcome the redundancy in the construction of human face detector by AdaBoost algorithm.In the investigation,AdaBoost algorithm is first used as a feature selector to select the Haar-like wavelet features,namely AdaHaar features.Then,the selected low-dimension AdaHaar features are further selected to optimally remove the redundancy and to obtain the corresponding weights.Finally,a human face detector is linearly aggregated by the selected features and the weights.Experimental results show that the proposed human face detector can accurately and fast locate face with low memory cost.
【Fund】: 大连理工大学交叉学科基金资助项目(光电子+X2006)
【CateGory Index】: TP18;TP391.41
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