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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3825-3829

Facial landmark detection network with multi-scale feature map fusion

Qi Guoqiang1,2
Yao Jianmin1,2
Hu Hailong1
Yan Qun1,2
Lin Zhixian1
1. Fuzhou University, Fuzhou 350108, China
2. Jinjiang RichSense Electronic Technology Co. , Ltd. , Jinjiang Fujian 362200, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0572

Abstract

Accurate detection of facial landmark is of great significance for tasks such as face posture correction, expression recognition, and fatigue monitoring. For the current facial landmark detection algorithm, the design of network is more and more complex, the demand for computing resources is getting larger and larger, and the overall speed of network is slow, which is not conducive to the deployment of the mobile terminal. This paper proposed a facial landmark detection network based on multi-scale key points heat-map fusion. By integrating the feature map and the key point heat map, the network paid more attention to the key points and the information of the surrounding pixels. Multi-scale key points heat-map fusion continuously strengthened the network's ability to learn key information, and a shallow network structure could achieve good detection results. Experiments show that the detection accuracy and speed of the WFLW(wider facial landmarks in-the-wild) dataset are state-of-art.

Foundation Support

福建省自然科学基金资助项目(2018J01804)
国家重点研发计划资助项目(2016YFB0401503)
广东省科技重大专项资助项目(2016B090906001)
福建省科技重大专项资助项目(2014HZ0003-1)
广东省光信息材料与技术重点实验室开放基金资助项目(2017B030301007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0572
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Technology of Graphic & Image
Pages: 3825-3829
Serial Number: 1001-3695(2020)12-064-3825-05

Publish History

[2020-12-05] Printed Article

Cite This Article

齐国强, 姚剑敏, 胡海龙, 等. 引入多尺度特征图融合的人脸关键点检测网络 [J]. 计算机应用研究, 2020, 37 (12): 3825-3829. (Qi Guoqiang, Yao Jianmin, Hu Hailong, et al. Facial landmark detection network with multi-scale feature map fusion [J]. Application Research of Computers, 2020, 37 (12): 3825-3829. )

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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