论文标题
一项关于遮挡不变面膜下面罩闭塞的全面研究
A Comprehensive Study on Occlusion Invariant Face Recognition under Face Mask Occlusion
论文作者
论文摘要
面罩是大流行期在日常生活中的重要卫生软件，对当前的面部识别系统构成了重大威胁。面具在大面积的面孔中破坏了许多细节，即使对于人类，也很难识别它们。评估报告显示了识别蒙面面孔时的困难。最近，最近的深度学习的快速发展和突破性见证了面部识别算法最有希望的结果。但是，在挑战中，它们在不受约束的环境中的表现远非令人满意的水平，例如不同的照明条件，低分辨率，面部表情，姿势变化和遮挡。面部阻塞被认为是最棘手的问题之一。尤其是当闭塞占据大部分脸部时，因为它会破坏许多官方功能。
The face mask is an essential sanitaryware in daily lives growing during the pandemic period and is a big threat to current face recognition systems. The masks destroy a lot of details in a large area of face, and it makes it difficult to recognize them even for humans. The evaluation report shows the difficulty well when recognizing masked faces. Rapid development and breakthrough of deep learning in the recent past have witnessed most promising results from face recognition algorithms. But they fail to perform far from satisfactory levels in the unconstrained environment during the challenges such as varying lighting conditions, low resolution, facial expressions, pose variation and occlusions. Facial occlusions are considered one of the most intractable problems. Especially when the occlusion occupies a large region of the face because it destroys lots of official features.
