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Facial Expression Recognition Based on Dual-Channel Fusion with Edge Features.
- Source :
-
Symmetry (20738994) . Dec2022, Vol. 14 Issue 12, p2651. 12p. - Publication Year :
- 2022
-
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]
Details
- Language :
- English
- ISSN :
- 20738994
- Volume :
- 14
- Issue :
- 12
- Database :
- Academic Search Index
- Journal :
- Symmetry (20738994)
- Publication Type :
- Academic Journal
- Accession number :
- 161003965
- Full Text :
- https://doi.org/10.3390/sym14122651