Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27529
Title: Eyeglasses removal of thermal image based on visible information
Authors: Wong, WK 
Zhao, H
Keywords: Face image reconstruction
Thermal infrared imagery
Visible imagery
Issue Date: 2013
Publisher: Elsevier Science Bv
Source: Information fusion, 2013, v. 14, no. 2, p. 163–176 How to cite?
Journal: Information Fusion 
Abstract: 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.
URI: http://hdl.handle.net/10397/27529
ISSN: 1566-2535
DOI: 10.1016/j.inffus.2011.09.002
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