Facial expression recognition based on deep learning.

Journal: Computer methods and programs in biomedicine
Published Date: Jan 6, 2022

Abstract

BACKGROUND AND OBJECTIVE: Facial expression recognition technology will play an increasingly important role in our daily life. Autonomous driving, virtual reality and all kinds of robots integrated into our life depend on the development of facial expression recognition technology. Many tasks in the field of computer vision are based on deep learning technology and convolutional neural network. The paper proposes an occluded expression recognition model based on the generated countermeasure network. The model is divided into two modules, namely, occluded face image restoration and face recognition.

Authors

  • Huilin Ge
    School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
  • Zhiyu Zhu
    School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
  • Yuewei Dai
    School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
  • Biao Wang
    School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
  • Xuedong Wu
    School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China.

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