文献类型：期刊文献

英文题名：Eyeglasses removal of thermal image based on visible information

作者：Wong, W. K.[1];Zhao, Haitao[2]

机构：[1]Hong Kong Polytech Univ, Inst Text & Clothing, Hong Kong, Hong Kong, Peoples R China;[2]E China Univ Sci & Technol, Automat Dept, Shanghai 200237, Peoples R China

年份：2013

卷号：14

期号：2

起止页码：163

外文期刊名：INFORMATION FUSION

收录：;EI(收录号：20133016532290);WOS:【SCI-EXPANDED(收录号:WOS:000314671900005)】；

基金：The authors thank the anonymous reviewers and the financial support from the General Research Fund of Research Grants Council of Hong Kong (Project No. 531708) and the National Science Foundation of China (Project Nos. 60705006 and 61072090).

语种：英文

外文关键词：Face image reconstruction; Thermal infrared imagery; Visible imagery

摘要：Recently, a number of studies have demonstrated that thermal infrared (IR) imagery offers a promising alternative to visible imagery in face recognition problems due to its invariance to visible illumination changes. However, thermal IR has other limitations such as being opaque to glass. As a result, thermal IR imagery is very sensitive to facial occlusion caused by eyeglasses. Fusion of the visible and thermal IR images is an effective way to solve this problem. In this paper, using the face reconstruction information of the visible images, we propose two thermal image reconstruction algorithms, called the visible information aided eyeglasses removing algorithm (VIAER) and the refined visible information aided eyeglasses removing algorithm (refined VIAER). Experiments on publicly available data set show the excellent performance of our algorithms. (C) 2011 Elsevier B.V. All rights reserved.