Face detection technology based on Adaboost Vol. 3 2 No. 6 June 2005 Applied Science and Technology, V ol . 3 2 №. 6 J un . 2 0 0 5Article number: ( ) 1 0 0 9 6 7 1 X 2 0 0 5 0 6 0 0 0 7 0 3Face detection technology based on Adaboost Kong Fanzhi, Zhang Xingzhou, Xie Yaoju (School of Information and Communication Engineering, Harbin Engineering University, Harbin, Heilongjiang 1) 5 0 0 0 1 Abstract: A face detector based on A en CV image processing software, aarlike features, and Adaboost is implemented by using O selected extended H. The influence of the number and order of strong classifiers on the performance of the detector is deeply analyzed. The basic principles of boost face detection technology and the detection capabilities of hierarchical classifiers obtained from the three classification methods are compared. Finally, a practical classification method is given. The experimental results show that the detector has fast detection speed, short development cycle and is feasible. Keywords: face detection; A daboost algorithm; O en C p Document code: TN 9 1 1 . 7 3 AR esearc ho nf ac ed etectio nb ase do nA daboost, , KON GF anzhi ZHAN GX inzhou XI EY aougj(S , , , ) choolof Informatio na n dC ommunicatio nE nineerin H arbi nE nineer ……
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