Thermal infrared face recognition with face mask based on the generative method
Shijia Guo, Tianxu Zhang, Ting Guo · Eighth Symposium on Novel Photoelectronic Detection Technology and Applications · 2022
With the development of artificial intelligence technology, visible light face recognition is becoming more and more popular. But visible light can't solve the problem of facial occlusion. Because the visible light cannot pass through the occlusion and is received by the camera, a lot of information is lost. In reality, when criminals wear masks, they can't recognize faces in visible light. But thermal infrared technology can solve this problem because the heat emitted by the face can be captured by the thermal infrared camera through the mask. In this paper, the generative deep learning method is used to remove the mask in the independent data set, and the recognition result is good.