Facial Expression Recognition based on a Dual Graph Convolutional Network
The facial expression recognition on non-laboratory database is difficult and challenging. To improve the recognition performance, we propose a dual graph convolutional network, based on which two feature extractors are employed to facial images. The experimental results on RAF-DB and SFEW database...
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Published in | 2021 CIE International Conference on Radar (Radar) pp. 2412 - 2416 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
15.12.2021
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Abstract | The facial expression recognition on non-laboratory database is difficult and challenging. To improve the recognition performance, we propose a dual graph convolutional network, based on which two feature extractors are employed to facial images. The experimental results on RAF-DB and SFEW database show that our proposed method improves the accuracy of facial expression recognition on non-laboratory datasets. |
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AbstractList | The facial expression recognition on non-laboratory database is difficult and challenging. To improve the recognition performance, we propose a dual graph convolutional network, based on which two feature extractors are employed to facial images. The experimental results on RAF-DB and SFEW database show that our proposed method improves the accuracy of facial expression recognition on non-laboratory datasets. |
Author | Tang, Hui Chai, Li Lu, Wanli |
Author_xml | – sequence: 1 givenname: Wanli surname: Lu fullname: Lu, Wanli email: luwanli@wust.edu.cn organization: School of Information Science and Engineering, Wuhan University of Science and Technology,Wuhan,China – sequence: 2 givenname: Hui surname: Tang fullname: Tang, Hui email: htang@wust.edu.cn organization: School of Information Science and Engineering, Wuhan University of Science and Technology,Wuhan,China – sequence: 3 givenname: Li surname: Chai fullname: Chai, Li email: chaili@wust.edu.cn organization: School of Information Science and Engineering, Wuhan University of Science and Technology,Wuhan,China |
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Snippet | The facial expression recognition on non-laboratory database is difficult and challenging. To improve the recognition performance, we propose a dual graph... |
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SubjectTerms | Convolutional neural networks Data models face expression recognition Face recognition Feature extraction feature fusion graph convolutional network image classification Image recognition Radar |
Title | Facial Expression Recognition based on a Dual Graph Convolutional Network |
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