Facial expression recognition based on convolution neural network and orthogonal neighbourhood preserving projection
by Lunzheng Tan; Rui Ding
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 13, No. 3, 2020

Abstract: Aiming at the problems of low recognition rate and poor real-time performance of traditional expression recognition methods, a real-time facial expression recognition model for a convolution neural network (CNN) combined with orthogonal neighbourhood preserving projection (ONPP) is proposed. First, the input image is subjected to a series of pre-processing steps. Then, we use ONPP to reduce the feature dimensions, while preserving global geometry as well as local neighbourhood relationships. Finally, we train and fine-tune the CNN on a massive facial expression database. The method is compared with other mainstream methods on a massive expression database, and experimental results show that the proposed method has higher recognition accuracy and good real-time performance compared to other mainstream methods.

Online publication date: Wed, 28-Oct-2020

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