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Summary: Multispectral Visible and Infrared Imaging for Face Recognition
Hong Chang, Andreas Koschan, Mongi Abidi
The University of Tennessee
Knoxville, TN 37996
abidi@utk.edu
Seong G. Kong, Chang-Hee Won
Temple University
Philadelphia, PA 19122
skong@temple.edu
Abstract
Multispectral imaging in the visible and near infrared
spectra helps reduce color variations in the face due to
changes in illumination source types and directions.
Thermal infrared imaging provides useful signatures of
the face that is insensitive to ambient lighting through the
measurement of heat energy radiated from the object. This
paper introduces the use of multispectral imaging and
thermal infrared imaging as alternative means to
conventional broadband monochrome or color imaging
sensors in order to enhance the performance of face
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