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Research progress of deep learning methods for occlusion facial expression recognition

Nan Yahui1,2
Hua Qingyi1
1. School Information Science & Technology, Northwest University, Xi'an 710127, China
2. Dept. of Computer Science & Technology, Lyuliang University, Lyuliang Shanxi 033000, China

Abstract

Occlusion in a real environment is one of the main obstacles to accurately analyze and recognize facial expressions. In recent years, researchers have used deep learning technology to solve the problem of high misrecognition rate of facial expressions under occlusion conditions. It mainly summarized the deep learning algorithm of occlusion facial expression recognition and occlusion-related issues. Firstly, this paper summarized the development status of facial expression recognition under partial occlusion conditions, expression representation, and the data set used to study occlusion expression. Secondly, it reviewed the occlusion expression identify the latest developments in deep learning methods and analyzed the impact of occlusion on expressions. Finally, it summarized the main technical challenges, research difficulties and possible coping strategies. The purpose is to provide a more useful reference and benchmark for future research on occlusion expression recognition.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0307
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Survey
Pages: 321-330
Serial Number: 1001-3695(2022)02-001-0321-10

Publish History

[2021-10-19] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

南亚会, 华庆一. 遮挡人脸表情识别深度学习方法研究进展 [J]. 计算机应用研究, 2022, 39 (2): 321-330. (Nan Yahui, Hua Qingyi. Research progress of deep learning methods for occlusion facial expression recognition [J]. Application Research of Computers, 2022, 39 (2): 321-330. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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