Researching | Detection algorithm for key points on face based on attention model

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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Figures&Tables (7)

References (11)

Paper Information

Figures & Tables(7)

Fig. 1. DPM face detection effect map

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Fig. 2. Sobel gradient operator

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Fig. 3. SVM classification gradient vector

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Fig. 4. A framework of residual neural network with attention mechanism

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Fig. 5. Part of experimental results

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Fig. 6. Comparisons between the algorithm in this paper and Yang Haiyan's

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Table 1.
Error comparison of different algorithms
不同算法误差对比
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Table 1.
Error comparison of different algorithms
不同算法误差对比
方法均方根误差
本文算法 1.229
Sun 2.221
ASEF^[11] 2.812
杨海燕^[12] 1.453

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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

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology