Technology of Graphic & Image
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612-616,633

Occlusion face recognition with relaxed block diagonal representation matrix regression

Ma Qian
Ma Xiang
School of Information Engineering, Chang'an University, Xi'an 710064, China

Abstract

Nuclear norm based matrix regression method can effectively solve the continuous occlusion problem in face recognition. However, these methods only focus on the low-rank structural of the error images, which ignores the correlation of sample images representation. In order to effectively solve the occluded face recognition problem in natural scenes, this paper proposed the matrix regression model with joint relaxed block-diagonal representation(RBDMR) to learn the relaxed block-diagonal representation of images, then strengthened the correlation of the intra-class representation and the differences of the inter-class representation by dynamically optimizing the block-diagonal component of the representation matrix. Furthermore the coherence of the intra-class representation was continuously improved by jointly optimizing the representation of training samples and test samples. Through verification on three different databases, the experimental results show that the proposed method outperforms other comparison algorithms and has better performance in the real occlusion and illumination changes.

Foundation Support

国家自然科学基金资助项目(61771075)
中央高校基本科研业务费资助项目(300102249203)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0276
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Technology of Graphic & Image
Pages: 612-616,633
Serial Number: 1001-3695(2023)02-050-0612-05

Publish History

[2022-08-11] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

马倩, 马祥. 联合松弛块对角表示矩阵回归的遮挡人脸识别 [J]. 计算机应用研究, 2023, 40 (2): 612-616,633. (Ma Qian, Ma Xiang. Occlusion face recognition with relaxed block diagonal representation matrix regression [J]. Application Research of Computers, 2023, 40 (2): 612-616,633. )

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.

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