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Multispectral visible and infrared imaging for face recognition

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5 Author(s)
Hong Chang ; The University of Tennessee, Knoxville, 37996 USA ; Andreas Koschan ; Mongi Abidi ; Seong G. Kong
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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 recognition in uncontrolled illumination conditions.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008