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Machine Vision and Applications (2010) 21:201215 DOI 10.1007/s00138-008-0151-1

Summary: Machine Vision and Applications (2010) 21:201215
DOI 10.1007/s00138-008-0151-1
Fusing continuous spectral images for face recognition
under indoor and outdoor illuminants
H. Chang A. Koschan B. Abidi M. Abidi
Received: 4 December 2007 / Accepted: 14 May 2008 / Published online: 17 June 2008
Springer-Verlag 2008
Abstract Novel image fusion approaches, including
physics-based weighted fusion, illumination adjustment and
rank-based decision level fusion, for spectral face images are
proposed for improving face recognition performance com-
pared to conventional images. A new multispectral imaging
system is briefly presented which can acquire continuous
spectral face images for our concept proof with fine spectral
resolution in the visible spectrum. Several experiments are
designed and validated by calculating the cumulative match
characteristics of probe sets via the well-known recognition
engine-FaceIt . Experimental results demonstrate that pro-
posed fusion methods outperform conventional images when


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


Collections: Computer Technologies and Information Sciences