NDLI: Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Jingu Heo Kong, S.G. Abidi, B.R. Abidi, M.A.
Copyright Year	2004
Description	Author affiliation: The University of Tennessee, Knoxville (Jingu Heo)
Abstract	This paper describes a fusion of visual and thermal infrared (IR) images for robust face recognition. Two types of fusion methods are discussed: data fusion and decision fusion. Data fusion produces an illumination-invariant face image by adaptively integrating registered visual and thermal face images. Decision fusion combines matching scores of individual face recognition modules. In the data fusion process, eyeglasses, which block thermal energy, are detected from thermal images and replaced with an eye template. Three fusion-based face recognition techniques are implemented and tested: Data fusion of visual and thermal images (Df), Decision fusion with highest matching score (Fh), and Decision fusion with average matching score (Fa). A commercial face recognition software FaceIt® is used as an individual recognition module. Comparison results show that fusion-based face recognition techniques outperformed individual visual and thermal face recognizers under illumination variations and facial expressions.
Starting Page	122
Ending Page	122
File Size	508483
Page Count	1
File Format	PDF
DOI	10.1109/CVPR.2004.351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Temperature Face recognition Lighting Infrared imaging Optical imaging Robustness Pattern recognition Face detection Intelligent robots
Content Type	Text
Resource Type	Article

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