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Multispectral Imaging For Face Recognition Over Varying

Summary: Multispectral Imaging For Face
Recognition Over Varying
A Dissertation
Presented for the
Doctor of Philosophy Degree
The University of Tennessee, Knoxville
Hong Chang
December 2008
This dissertation addresses the advantage of using multispectral narrow-band images
over conventional broad-band images for improved face recognition under varying
illumination. To verify the effectiveness of multispectral images for improving face
recognition performance, three sequential procedures are taken into action: multispectral
face image acquisition, image fusion for multispectral and spectral band selection to
remove information redundancy.
Several efficient image fusion algorithms are proposed and conducted on spectral
narrow-band face images in comparison to conventional images. Physics-based weighted
fusion and illumination adjustment fusion make good use of spectral information in


Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee


Collections: Computer Technologies and Information Sciences