Facial expression recognition: a review

被引：0
作者：
Xing Guo
Yudong Zhang
Siyuan Lu
Zhihai Lu
机构：
[1] Nanjing Normal University,School of Educational Science
[2] University of Leicester,School of Computing and Mathematical Sciences
来源：
Multimedia Tools and Applications | 2024年 / 83卷
关键词：
Facial expression recognition; Machine learning; Deep learning; Expression dataset;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Facial expression recognition has become a hot issue in the field of artificial intelligence. So, we collect literature on facial expression recognition. First, methods based on machine learning are introduced in detail, which include image preprocessing, feature extraction, and image classification. Then, we review deep learning methods in detail: convolutional neural networks, deep belief networks, generative adversarial networks, and recurrent neural networks. Moreover, the advantages and limitations of different facial expression recognition methods are compared. In addition, 20 commonly used facial expression datasets are collected in this paper, and the types of expressions and the number of images contained in each dataset are summarized. Finally, the current problems and future development of facial expression recognition are concluded.
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收藏
页码：23689 / 23735
页数：46
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