Classroom quality analysis based on facial expression recognition

Zhuang Jin; Bo Yuan; Qinchuan Lei; Yixin Yue

doi:10.1117/12.2680473

27 June 2023 Classroom quality analysis based on facial expression recognition

Zhuang Jin, Bo Yuan, Qinchuan Lei, Yixin Yue

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127050C (2023) https://doi.org/10.1117/12.2680473
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Aiming at the problems of small metal surface defect samples in industrial production and the difficulty of data annotation in supervised segmentation algorithms, a background reconstruction method based on Cycle generative adversarial networks is proposed to realize metal surface defect segmentation in combination with the traditional threshold segmentation algorithm. Firstly, the corresponding defect-free template is reconstructed from the defect image using Cycle generative adversarial networks, and the defect image and the reconstructed template are subjected to the differential subjected to eliminate the influence of the background texture of the defect sample. Finally, the segmentation process is performed using the adaptive thresholding segmentation method. In order to adapt to the small sample training as well as to improve the performance of background reconstruction of the generative network, the U-Net network structure is used as the generator, and the attention mechanism is also introduced. Meanwhile, the L1 loss and Multi-scale SSIM loss are combined to design the cycle consistency loss for training. The experimental results show that the method in this paper can accomplish good defect segmentation results using a small number of defective samples.

Citation Download Citation

Zhuang Jin, Bo Yuan, Qinchuan Lei, and Yixin Yue "Classroom quality analysis based on facial expression recognition", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127050C (27 June 2023); https://doi.org/10.1117/12.2680473

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KEYWORDS

Facial recognition systems

Analytical research

Statistical analysis

Cameras

Mouth

Data modeling

Image processing

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