关键词: 人脸识别, 主动外观模型, 粗糙集理论, 支持向量机, 粗糙集-支持向量机（RS-SVM）

Abstract: In the paper，a new approach based on AAM（Active Appearance Model） and RS-SVM（Rough Set theory based attribution reduction and Support Vector Machine） is proposed for face recognition.Firstly，an AAM which based on statistical theory is implemented for facial feature points location.In order to select the necessary features for face recognition，the attribution reduction in rough set theory is used which can effectively reduce the dimensions of features.Secondly，SVM is adopted for classification.Finally，the experiment results show that the algorithm reduces the computing cost of SVM with no difference in classification ability.

Key words: face recognition, Active Appearance Model（AAM）, rough set theory, Support Vector Machine（SVM）, Rough Set theory based attribution reduction and Support Vertor Machine（RS-SVM）