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Author Short, N. ♦ Shuowen Hu ♦ Gurram, P. ♦ Gurton, K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Natural sciences & mathematics ♦ Life sciences; biology ♦ Biochemistry
Subject Keyword Correlation ♦ Filtering ♦ Face recognition ♦ Image edge detection ♦ Imaging ♦ Lighting ♦ Face
Abstract Face recognition research has primarily focused on the visible spectrum, due to the prevalence and low cost of visible cameras. However, face recognition in the visible spectrum is sensitive to illumination variations, and is infeasible in low-light or nighttime settings. In contrast, thermal imaging acquires naturally emitted radiation from facial skin tissue, and is therefore ideal for nighttime surveillance and intelligence gathering operations. However, conventional thermal face imagery lacks textural and geometrics details that are present in visible spectrum face signatures. In this work, we further explore the impact of polarimetric imaging in the LWIR spectrum for face recognition. Polarization-state information provides textural and geometric facial details unavailable with conventional thermal imaging. Since the frequency content of the conventional thermal, polarimetric thermal, and visible images is quite different, we propose a spatial correlation based procedure to optimize the filtering of polarimetric thermal and visible face images to further facilitate cross-spectrum face recognition. Additionally, we use a more extensive gallery database to more robustly demonstrate an improvement in the performance of cross-spectrum face recognition using polarimetric thermal imaging.
Description Author affiliation: U.S. Army Res. Lab., Adelphi, MD, USA (Short, N.; Shuowen Hu; Gurram, P.; Gurton, K.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-09-08
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479987764
Size (in Bytes) 1.31 MB
Page Count 6
Starting Page 1
Ending Page 6


Source: IEEE Xplore Digital Library