Facial expression recognition based on PCA reconstruction
Chen Juanjuan, Zhao Zheng, Han Sun, Gang Zhang · 2010
A facial expression recognition algorithm named PCA (Principal Component Analysis) reconstruction to the still image containing facial expression information is proposed. The general idea of the algorithm is classifying the training sets of facial expression into different subsets by facial expression. Then apply the PCA algorithm into the subsets to get the corresponding orthogonal basis. Test images project on the orthogonal basis of different expression subsets, and reconstruct based on the projection coordinates. Then compare the tested image with the reconstructed images and choose the expression of the most similar one to be the expression of the tested image. The algorithm is tested on Japanese female facial expression (JAFFE) database. The feasibility of the method has been verified by experiment.