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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Multispectral visible and infrared imaging for face recognition
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Hong Chang, The University of Tennessee, Knoxville, 37996 USA
Andreas Koschan, The University of Tennessee, Knoxville, 37996 USA
Mongi Abidi, The University of Tennessee, Knoxville, 37996 USA
Seong G. Kong, Temple University, Philadelphia, 19122 USA
Chang-Hee Won, Temple University, Philadelphia, 19122 USA
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.
Citation:
Hong Chang, Andreas Koschan, Mongi Abidi, Seong G. Kong, Chang-Hee Won, "Multispectral visible and infrared imaging for face recognition," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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