Researching | Classroom Face Detection Algorithm Based on Convolutional Neural Network

Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211501(2019)

Classroom Face Detection Algorithm Based on Convolutional Neural Network

Meng Wang, Hansong Su, Gaohua Liu^*, and Shen Li

Author Affiliations

College of Electrical Automation and Information Engineering, Tianjin University, Tianjin, 300072, China

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References (16)

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Figures & Tables(6)

Fig. 1. Structure of residual module

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Fig. 2. Overall network structure of classroom face detection algorithm

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Fig. 3. Reducing inner distance based on center feature loss function

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Fig. 4. Examples of classroom face detection. (a) Different backgrounds; (b) different perspectives; (c) different lighting

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Fig. 5. Results on verification set of Wider Face. (a) Easy; (b) medium; (c) hard

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Table 1. Parameters of feature extraction network
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Table 1. Parameters of feature extraction network
Block Conv1 Conv2_x Conv3_x Conv4_x Conv5_x
Parameter 7×7,64,stride 2 3×3 max pool, stride 2 $\begin{matrix} [\begin{matrix} 1 \times 1,64 \\ 3 \times 3,64 \\ 1 \times 1,256 \end{matrix}] \end{matrix}$ ×3 $\begin{matrix} [\begin{matrix} 1 \times 1,128 \\ 3 \times 3,128 \\ 1 \times 1,512 \end{matrix}] \end{matrix}$ ×4 $\begin{matrix} [\begin{matrix} 1 \times 1,256 \\ 3 \times 3,256 \\ 1 \times 1,1024 \end{matrix}] \end{matrix}$ ×6 $\begin{matrix} [\begin{matrix} 1 \times 1,512 \\ 3 \times 3,512 \\ 1 \times 1,2048 \end{matrix}] \end{matrix}$ ×3

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Meng Wang, Hansong Su, Gaohua Liu, Shen Li. Classroom Face Detection Algorithm Based on Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211501

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Paper Information

Category: Machine Vision

Received: Mar. 28, 2019

Accepted: Apr. 26, 2019

Published Online: Nov. 2, 2019

The Author Email: Gaohua Liu (suppig@126.com)

DOI:10.3788/LOP56.211501

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology