PCA-based location algorithm of human face features
基于主元分析的人脸特征点定位算法的研究

An PCA-based location algorithm of human face features was presented.Eigenmouth was generated by prinicipal component analysis(PCA) with labelled mouth region image set.For an input image,the mouth region was recognized according to least residual error energy(LREE) criteria after the face region was first located.Then a restricted window scan stategy and comparability mearsurement P were introduced into the LREE algorithm.Experiment results show that the proposed method can locate mouth region easily,accurately and robustly.