Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep Learning

Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep Learning

One key challenging issues of facial expression recognition (FER) in video sequences is to extract discriminative spatiotemporal video features from facial expression images in video sequences. In this paper, we propose a new method of FER in video sequences via a hybrid deep learning model. The pro...

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Bibliographic Details
Main Authors: Shiqing Zhang, Xianzhang Pan, Yueli Cui, Xiaoming Zhao, Limei Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Facial expression recognition
spatio-temporal features
hybrid deep learning
deep convolutional neural networks
deep belief network
Online Access:https://ieeexplore.ieee.org/document/8658192/

Internet

https://ieeexplore.ieee.org/document/8658192/

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