Expression recognition based on convolutional difference contextual feature fusion

Shengfu Lu; Chuang Yang; Mi Li; Jiaming Kang

doi:10.1117/12.2668475

20 April 2023 Expression recognition based on convolutional difference contextual feature fusion

Shengfu Lu, Chuang Yang, Mi Li, Jiaming Kang

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260232 (2023) https://doi.org/10.1117/12.2668475
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Facial expression recognition has always been a focus of study in emotion computing. With the aim of solving the problem that previous facial expression recognition studies are susceptible to individual differences and background noise, as well as the loss of facial expression features in deep networks of deep convolutional networks, we propose a facial expression method based on convolutional difference contextual feature fusion. The convolutional difference module can carry out difference operation between emotional image and neutral image in the input image, eliminate individual difference and background noise in expression features and improve the accuracy and generalization of the network. Finally, convolutional difference and contextual features are combined to improve the accuracy of the network further. Experiment results of 4 public facial expression datasets illustrate that compared with the existing facial expression recognition methods, this method has higher accuracy, can extract facial expression features more effectively, and has a better generalization ability.

Citation Download Citation

Shengfu Lu, Chuang Yang, Mi Li, and Jiaming Kang "Expression recognition based on convolutional difference contextual feature fusion", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260232 (20 April 2023); https://doi.org/10.1117/12.2668475

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KEYWORDS

Feature fusion

Facial recognition systems

Feature extraction

Convolution

Image fusion

Machine learning

Emotion

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