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《Journal of Henan Normal University(Natural Science)》 2010-05
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Research and DSP Realization on Face Detection Based on Improved Adaboost Algorithm

TAN Xiao-heng,ZHANG Jian-hui(The Center of Communication and Tracking Telemetering&Command,Chongqing University,Chongqing 400044,China)  
In order to solve the problem that the training time of Adaboost face detection is extremely long,and to raise the detection rate while lowering the false detection rate,several improvements based on Adaboo1st face detection algorithm are used to train and detect the faces from the importing pictures.Improvements included in this thesis are to build and store a feature form in a decending order,to change the weight renewal algorithm and classification error calculation method.At last,this improved method is realized on DSP platform.It is proved that the real-time feature is much better than that of the normal Adaboost.
【Fund】: 中央高校基本科研业务费(CDJZR101601XX)
【CateGory Index】: TP391.41
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