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Since there are not many existing mask-wearing facial expression image datasets, it is necessary to mask the unmasked facial expression images in advance. So we use the collected datasets to create mask-wearing images. The flow of the mask-wearing process is shown in Figure 2. First, the unmasked face images from the dataset are input into the Face Alignment Network. Face Alignment Network is a network based on the Hourglass network. It can also detect 68 landmarks from a face image, as shown in Figure 2. In this experiment, we will use the landmarks marked in red which are 14 landmarks out of 68 landmarks, to mask the face images. |
IEEE/ICACT20230035 Slide.04
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