Multi-Pose Facial Expression Recognition Based on Generative Adversarial Network

Multi-Pose Facial Expression Recognition Based on Generative Adversarial Network

The recognition of human emotions from facial expression images is one of the most important topics in the machine vision and image processing fields. However, recognition becomes difficult when dealing with non-frontal faces. To alleviate the influence of poses, we propose an encoder-decoder genera...

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Bibliographic Details
Main Authors: Dejian Li, Zejian Li, Ruiming Luo, Jia Deng, Shouqian Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Facial expression recognition
computer vision
image analysis
convolutional neural networks
multi-pose
generative adversarial network
Online Access:https://ieeexplore.ieee.org/document/8861033/

Internet

https://ieeexplore.ieee.org/document/8861033/

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