2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDCOVID-IP-2.5
Paper Title Face mask aware robust facial expression recognition during the COVID-19 Pandemic
Authors Bo Yang, Jianming Wu, Gen Hattori, KDDI Research, Inc., Japan
SessionCOVID-IP-2: COVID Related Image Processing 2
LocationArea A
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic COVID-Related Image Processing: COVID-related image processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Wearing face masks is considered an effective means of preventing the transmission of coronavirus during the COVID-19 pandemic. Facial expression recognition (FER) under partial occlusion, especially with face masks, makes it a challenging task in the research area of computer vision. In this paper, we propose a two-stage attention model to improve the accuracy of face-mask-aware FER: In stage 1, we train the masked/unmasked binary deep classifier, which can generate attention heatmaps to roughly distinguish the masked facial parts from the unobstructed region. In stage 2, we train the FER classifier, which is guided to pay more attention to the region that is essential to the facial expression classification, and both occluded and non-occluded regions are taken into consideration but reweighed. The proposed method outperforms other state-of-the-art occlusion-aware FER methods on face-mask-aware FER datasets, whether in the wild or in the laboratory.