1. Facial Expression Recognition Based on Dual-Channel Fusion with Edge Features.
- Author
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Tang, Xiaoyu, Liu, Sirui, Xiang, Qiuchi, Cheng, Jintao, He, Huifang, and Xue, Bohuan
- Subjects
FACIAL expression ,EMOTION recognition ,ARTIFICIAL intelligence ,EMOTIONS ,HUMAN-computer interaction ,PETRI nets - Abstract
In the era of artificial intelligence, accomplishing emotion recognition in human–computer interaction is a key work. Expressions contain plentiful information about human emotion. We found that the canny edge detector can significantly help improve facial expression recognition performance. A canny edge detector based dual-channel network using the OI-network and EI-Net is proposed, which does not add an additional redundant network layer and training. We discussed the fusion parameters of α and β using ablation experiments. The method was verified in CK+, Fer2013, and RafDb datasets and achieved a good result. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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