Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 4
1230-1234

Research on low-resolution face recognition algorithm for security surveillance scene

Lu Feng1
Zhou Lin2
Cai Xiaohui2
1. 78090 Troops of PLA, Chengdu 610054, China
2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China
DOI: 10.19734/j.issn.1001-3695.2020.01.0074

Abstract

Aiming at the problem of low face recognition accuracy caused by poor image quality and loss of detailed information of face pictures obtained in security surveillance scene, this paper proposed a low-resolution face recognition algorithm based on super-resolution reconstruction. The algorithm included two sub-networks: super-resolution reconstruction and face recognition, which could respectively realize super-resolution reconstruction of low-resolution face image and extraction of face features. Firstly, the algorithm increased the number of feature maps before the activation function of super-resolution reconstruction sub-network to achieve wide activation and ensure effective transfer of information flow, so as to reconstruct high-resolution images containing more effective detailed information. Then, it combined image content loss and identity loss during training to retain more identity information while reconstructing image, which could make extracted face features more discriminative. Experimental results show that the proposed algorithm improves accuracy of low-resolution face recognition and has better performance than traditional algorithms on surveillance face dataset QMUL-SurFace.

Foundation Support

国家自然科学基金资助项目
教育部—中国移动科研基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.01.0074
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Technology of Graphic & Image
Pages: 1230-1234
Serial Number: 1001-3695(2021)04-052-1230-05

Publish History

[2021-04-05] Printed Article

Cite This Article

卢峰, 周琳, 蔡小辉. 面向安防监控场景的低分辨率人脸识别算法研究 [J]. 计算机应用研究, 2021, 38 (4): 1230-1234. (Lu Feng, Zhou Lin, Cai Xiaohui. Research on low-resolution face recognition algorithm for security surveillance scene [J]. Application Research of Computers, 2021, 38 (4): 1230-1234. )

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  • Application Research of Computers Monthly Journal
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    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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