Eyeglasses removal of thermal image based on visible information

W. K. Wonga, Haitao Zhao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)163-176
Number of pages14
JournalInformation Fusion
Volume14
Issue number2
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • Face image reconstruction Thermal infrared imagery Visible imagery

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems
  • Hardware and Architecture

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