Optical Instruments, Volume. 42, Issue 2, 45(2020)

Detection algorithm for key points on face based on attention model

Xiaofei QIN1... Kai SHENG2, Yue ZHU1, Yong YANG1, Gang ZHAO3, Cheng JIA3, Chengming LI3, Xiaodong LU4 and Jianfeng ZHOU4 |Show fewer author(s)
Author Affiliations
  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 3Hangzhou Yimei Industrial Co., Ltd., Hangzhou 310000, China
  • 4Hangzhou Yimei Photoelectric Technology Co., Ltd., Hangzhou 310000, China
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    Due to the influence of expressions, illuminations, gestures, etc., large errors often occur when positioning key points of a face. In order to accurately locate the key points of the face, a detection algorithm for key points on a face based on attention mechanism is proposed. Firstly, the deformable part model(DPM) algorithm is used to detect the face region in the picture, and then the focal point of the face is located in the region using ResNet and SeNet. The experimental results show that the algorithm achieves good accuracy on the face dataset, and prove the effectiveness of the algorithm.

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    Xiaofei QIN, Kai SHENG, Yue ZHU, Yong YANG, Gang ZHAO, Cheng JIA, Chengming LI, Xiaodong LU, Jianfeng ZHOU. Detection algorithm for key points on face based on attention model[J]. Optical Instruments, 2020, 42(2): 45

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    Paper Information

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    Received: May. 8, 2019

    Accepted: --

    Published Online: May. 27, 2020

    The Author Email:

    DOI:10.3969/j.issn.1005-5630.2020.02.008

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