Face images captured through the glass are usually contaminated by reflections. The non-transmitted reflections make the reflection removal more challenging than for general scenes, because important facial features are completely occluded. In this paper, we propose and solve the face image reflection removal problem. We remove non-transmitted reflections by incorporating inpainting ideas into a guided reflection removal framework and recover facial features by considering various face-specific priors. We use a newly collected face reflection image dataset to train our model and compare with state-of-the-art methods. The proposed method shows advantages in estimating reflection-free face images for improving face recognition.

中文翻译：

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人脸图像反射去除

通过玻璃拍摄的人脸图像通常会被反射污染。非透射反射使反射去除比一般场景更具挑战性，因为重要的面部特征被完全遮挡。在本文中，我们提出并解决了人脸图像反射去除问题。我们通过将修复思想结合到引导反射去除框架中来去除非透射反射，并通过考虑各种特定于面部的先验来恢复面部特征。我们使用新收集的面部反射图像数据集来训练我们的模型并与最先进的方法进行比较。所提出的方法在估计无反射人脸图像以改进人脸识别方面显示出优势。