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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3496-3499

Domain adaption for face recognition based on image style transfer

Wang Tongpinga
Fu Kerena
Cheng Pengb
a. College of Computer Science, b. College of Aeronautics & Astronautics, Sichuan University, Chengdu 610065, China
DOI: 10.19734/j.issn.1001-3695.2019.06.0242

Abstract

It's difficult to obtain labeled face data in video surveillance, although there are large public datasets or synthetic data, they are differ significantly from surveillance face data on image style. To solve this problem, in contrast to existing domain adaptation methods based on features or public subspace, this paper proposed a new method based on image style transfer. Specifically, the method constructed Face-CycleGAN based on CycleGAN network, on the premise of maintaining identity consistency, it could transfer the style of labeled data to make it more similar to the data in video surveillance in terms of background, illumination, skin texture, etc. Combined filter further processed transferred images as a post-process step. Finally, the method trained a face recognizer by using the transferred results to narrow the gap between the domains. Experimental results on a public dataset EK-LFH and a self-collected dataset 3DProj-Sur show that the proposed method achieves 21.93% and 4.77% performance improvement respectively comparing to original model, which proves the effectiveness of the proposed method on domain adaption.

Foundation Support

国家自然科学基金民航联合研究基金资助项目(U1833128)
国家自然科学基金青年基金资助项目(61703077)
四川省科技重大专项子课题资助项目(2018GZDZX0029-2)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0242
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Technology of Graphic & Image
Pages: 3496-3499
Serial Number: 1001-3695(2020)11-060-3496-04

Publish History

[2020-11-05] Printed Article

Cite This Article

王通平, 傅可人, 程鹏. 基于图像风格迁移的人脸识别域适应方法 [J]. 计算机应用研究, 2020, 37 (11): 3496-3499. (Wang Tongping, Fu Keren, Cheng Peng. Domain adaption for face recognition based on image style transfer [J]. Application Research of Computers, 2020, 37 (11): 3496-3499. )

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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