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Summary: SPECTRAL RANGE SELECTION FOR FACE RECOGNITION UNDER VARIOUS
ILLUMINATIONS
H. Chang, Y. Yao, A. Koschan, B. Abidi, and M. Abidi
Imaging, Robotics and Intelligent Systems (IRIS) Lab, University of Tennessee, Knoxville, TN
{hchang2, yyao1, akoschan, besma, abidi}@utk.edu
ABSTRACT
Multipectral imaging and fusion of multispectral images in
visible spectrum have been employed and proved to
enhance the recognition performance over conventional
broad-band images, especially when the illumination
changes. In this paper, we further our study toward the
recognition performance of a smaller number of spectral
band images. Given the illumination, we propose an
automated method that specifies the optimal spectral ranges
to achieve an improved recognition performance compared
with conventional broad-band images. Our discovery can be
practically used for a new customized sensor design
associated with given illuminations for an improved face
recognition performance over conventional broad-band
images.
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