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, Xue, Bohuan, Tang, Xiaoyu, Liu, Sirui, Xiang, Qiuchi, Cheng, Jintao, He, Huifang, and Xue, Bohuan
- 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 (Formula presented.) and (Formula presented.) using ablation experiments. The method was verified in CK+, Fer2013, and RafDb datasets and achieved a good result. © 2022 by the authors.
- Published
- 2022