Park Jeong-Seon, Oh You Hwa, Ahn Sang Chul, Lee Seong-Whan
Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea.
IEEE Trans Pattern Anal Mach Intell. 2005 May;27(5):805-11. doi: 10.1109/TPAMI.2005.103.
In this paper, we propose a new method of removing glasses from a human frontal facial image. We first detect the regions occluded by the glasses and generate a natural looking facial image without glasses by recursive error compensation using PCA reconstruction. The resulting image has no trace of the glasses frame or of the reflection and shade caused by the glasses. The experimental results show that the proposed method provides an effective solution to the problem of glasses occlusion and we believe that this method can also be used to enhance the performance of face recognition systems.
在本文中，我们提出了一种从人类正面面部图像中去除眼镜的新方法。我们首先检测被眼镜遮挡的区域，并通过使用主成分分析（PCA）重建的递归误差补偿来生成无眼镜的自然面部图像。所得图像没有眼镜框的痕迹，也没有由眼镜引起的反射和阴影。实验结果表明，所提出的方法为眼镜遮挡问题提供了有效的解决方案，并且我们相信该方法也可用于提高人脸识别系统的性能。
