论文标题
面部检测分析，面部标记和面部识别性能与蒙面的脸部图像
Analysis of face detection, face landmarking, and face recognition performance with masked face images
论文作者
论文摘要
面部识别已成为我们生活中的重要任务。但是，当前的Covid-19大流行导致面罩广泛使用。戴口罩的效果目前是一个研究的问题。本文的目的是通过掩盖的面部图像分析面部检测，面部标记和面部识别性能。 HOG和CNN面部探测器与5分和68点面部标志预测变量一起用于面部检测，VGG16面部识别模型用于掩盖和未掩盖图像的面部识别。我们发现面部检测，面部标记和面部识别的性能受到面膜的负面影响
Face recognition has become an essential task in our lives. However, the current COVID-19 pandemic has led to the widespread use of face masks. The effect of wearing face masks is currently an understudied issue. The aim of this paper is to analyze face detection, face landmarking, and face recognition performance with masked face images. HOG and CNN face detectors are used for face detection in combination with 5-point and 68-point face landmark predictors and VGG16 face recognition model is used for face recognition on masked and unmasked images. We found that the performance of face detection, face landmarking, and face recognition is negatively impacted by face masks
