Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3500-3505

Application of disentangled representation learning in cross-age face recognition

Chen Liming1
Tian Mao2
Yan Jia2
1. School of Electronics & Materials Engineering, Leshan Normal University, Leshan Sichuan 614000, China
2. School of Electronics & Information, Wuhan University, Wuhan 430072, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0073

Abstract

Cross-age face recognition has become a hot topic in the field of face recognition because of its wide application in real life. In order to improve the accuracy of cross-age face recognition, this paper proposed an identity preserving disentangled representation learning(IPDRL) network based on generative adversarial network. The network consisted of encoder, generator and discriminator. The encoder disentangled any age change in the feature, and encoded the identity information of the image at the same time, and extracted features that were only conducive to identity identification, so that it realized the disentanglement of identity feature and age feature. The generator generated the corresponding identified preserving age image according to the input age features, and the discriminator realized the class distribution prediction of age and identity through adversarial learning and multi-task learning. The combination of disentangled representation learning, adversary learning and multi-task learning can preserve the identity information of face image well, which improves the accuracy of cross-age face recognition.

Foundation Support

国家自然科学基金资助项目(61701351)
乐山市重点科技计划项目(20GZD024)
乐山师范学院高层次人才科研启动项目(RC202038)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0073
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Technology of Graphic & Image
Pages: 3500-3505
Serial Number: 1001-3695(2021)11-053-3500-06

Publish History

[2021-11-05] Printed Article

Cite This Article

陈莉明, 田茂, 颜佳. 解纠缠表示学习在跨年龄人脸识别中的应用 [J]. 计算机应用研究, 2021, 38 (11): 3500-3505. (Chen Liming, Tian Mao, Yan Jia. Application of disentangled representation learning in cross-age face recognition [J]. Application Research of Computers, 2021, 38 (11): 3500-3505. )

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  • 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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