摘要
Adaboost是一种有效的分类器组合方法,它能够提高弱分类器的分类性能。利用 Adaboost方法对面部表情进行识别,探讨了Adaboost与主成分分析法的几种结合方案。仿真结果表 明这几种方案可行,且识别效果较好。
Adaboost is an effective classifier combination method,which can improve classification performance of weak learner. Adaboost algorithm was used to resolve facial expression recognition, several combination ways of Adaboost and Principal Component Analysis(PCA) were discussed. Experiment results show that the method has higher classification accuracy than standard PCA.
出处
《计算机应用》
CSCD
北大核心
2005年第4期946-948,共3页
journal of Computer Applications
基金
教育部重点科技项目(11139991)
