• Laser & Optoelectronics Progress
  • Vol. 56, Issue 21, 211501 (2019)
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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    DOI: 10.3788/LOP56.211501 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Structure of residual module
    Fig. 1. Structure of residual module
    Overall network structure of classroom face detection algorithm
    Fig. 2. Overall network structure of classroom face detection algorithm
    Reducing inner distance based on center feature loss function
    Fig. 3. Reducing inner distance based on center feature loss function
    Examples of classroom face detection. (a) Different backgrounds; (b) different perspectives; (c) different lighting
    Fig. 4. Examples of classroom face detection. (a) Different backgrounds; (b) different perspectives; (c) different lighting
    Results on verification set of Wider Face. (a) Easy; (b) medium; (c) hard
    Fig. 5. Results on verification set of Wider Face. (a) Easy; (b) medium; (c) hard
    BlockConv1Conv2_xConv3_xConv4_xConv5_x
    Parameter7×7,64,stride 23×3 max pool, stride 21×1,643×3,641×1,256×31×1,1283×3,1281×1,512×41×1,2563×3,2561×1,1024×61×1,5123×3,5121×1,2048×3
    Table 1. Parameters of feature extraction network
    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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