Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP

Facial Expression Recognition Methods in the Wild Based on Fusion Feature of Attention Mechanism and LBP

Facial expression methods play a vital role in human–computer interaction and other fields, but there are factors such as occlusion, illumination, and pose changes in wild facial recognition, as well as category imbalances between different datasets, that result in large variations in recognition ra...

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Bibliographic Details
Main Authors: He, G. (Author), He, S. (Author), Liao, J. (Author), Lin, Y. (Author), Liu, X. (Author), Ma, T. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Accuracy rate
attention mechanism
Attention mechanisms
Classification (of information)
deep learning
Deep learning
Extraction
Face recognition
facial expression recognition
Facial expression recognition
Facial Expressions
Facial recognition
Feature information
Fusion features
Human computer interaction
Image enhancement
Large dataset
LBP feature
LBP features
Local binary pattern
Recognition methods
Textures
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