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Eyeglasses-removal-from-facial-images_2005_Pattern-Recognition-Letters.pdf

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Eyeglasses-removal-from-facial-images_2005_Pattern-Recognition-Letters

Pattern Recognition Letters 26 (2005) 2215–2220 /locate/patrecEyeglasses removal from facial images Cheng Du *, Guangda Su Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and System, Tsinghua University, Beijing 100084, PR China Received 3 July 2004; received in revised form 1 April 2005 Available online 31 May 2005 Communicated by T.K. HoAbstract A novel approach of removing eyeglasses from frontal facial images is proposed. The region occluded by eyeglasses is firstly detected; a natural looking eyeglassless facial image is then synthesized by recursive error compensation of PCA reconstruction. The synthesized images have neither trace of the eyeglasses, nor the reflection and shade caused by the eyeglasses. Experimental results show that our method can effectively synthesize eyeglassless facial images. 2005 Elsevier B.V. All rights reserved. Keywords: Eyeglasses removal; Face recognition; Face synthesis; Eyeglasses detection1. Introduction Face recognition has been one of the most ac- tive research areas in pattern recognition and com- puter vision for its wide potential applications. Many methods have been proposed in the past decades, and some of them have been successfully applied to the task of face recognition. However, a recent test report FRVT2002 (Phillips et al., 2003) has shown that there are still some problems which are not solved very well until now, including differ-0167-8655/$ - see front matter 2005 Elsevier B.V. All rights reserv doi:10.1016/j.patrec.2005.04.002 * Corresponding author. Fax: +86 10 62 78 14 34. E-mail address: ducheng00@ (C. Du).ent lighting conditions, facial expressions, poses, and occlusion by other objects. Among the last category, eyeglasses are the most common occlud- ing objects, which have a significant effect on the performance of face recognition systems. Some approaches have been proposed to extract and remove eyeglasses from facial images. Saito et al. (1999) synthesized eyeglas