关键词: 双决策子空间, RBF神经网络, 人脸表情识别, 核主元分析, Fisher线性判别分析

Abstract: A facial expression recognition method based on double discriminant subspace and radial basis function neural network(RBFNN) is proposed in this paper.First,this method apply the KPCA and FLD algorithm to carry out discriminant analysis in double discriminant subspace(null space and range space) and extract two kinds of expression feature discriminant information:regular information and irregular information,and fuse them by certain rule;Then the RBFNN and the fusion feature information can be use to facial expression recognition. Experimental result on JAFFE show that it is a valid method for facial expression recognition.

Key words: double discriminant subspace, RBFNN, facial expression recognition, KPCA, FLD