In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Survey
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2250-2257,2273

Review of progress of face recognition with occlusion

Zhang Qinghui
Zhang Yuan
Zhang Mengya
College of Information Science & Engineering, Henan University of Technology, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0830

Abstract

The level of face recognition technology continues to improve, and has achieved an ideal recognition rate in identity authentication, human-computer interaction and other industrial applications, and the market scale keeps growing. However, the occlusion problem in real scenes has not been completely solved. How to restrain or eliminate the negative impact of occlusion on key facial feature, is one of the hot spots in the field of face recognition. Aiming at the problem of lack of face structure information caused by occlusion, this paper reviewed the occluded face recognition datasets and the occluded face recognition methods. Firstly, it introduced and analyzed some important new occluded face recognition datasets. Secondly, it summarized the traditional learning methods and deep learning based methods to solve occlusion problems, and emphasized the deep lear-ning based robustness feature extraction and occluded facial information recovery. Finally, this paper summarized and analyzed the advantages and disadvantages of relevant methods, pointed out the problems and challenges of occluded face recognition, and prospected the future research directions.

Foundation Support

河南省重大公益专项资助项目(201300311200)
河南省科技攻关项目(222102320039)
郑州市协同创新专项资助项目(22ZZRDZX41)
河南工业大学博士基金资助项目(BS2019027)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0830
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Survey
Pages: 2250-2257,2273
Serial Number: 1001-3695(2023)08-002-2250-08

Publish History

[2023-03-22] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

张庆辉, 张媛, 张梦雅. 有遮挡人脸识别进展综述 [J]. 计算机应用研究, 2023, 40 (8): 2250-2257,2273. (Zhang Qinghui, Zhang Yuan, Zhang Mengya. Review of progress of face recognition with occlusion [J]. Application Research of Computers, 2023, 40 (8): 2250-2257,2273. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)