Radial Orthogonal Median LBP (ROM-LBP): A Discriminant Local Descriptor in Light Variations for Face Recognition
DOI:
https://doi.org/10.13052/jgeu0975-1416.1026Keywords:
Local binary pattern (LBP), orthogonally combined LBP (OC- LBP), radial orthogonal median LBP (ROM-LBP), local feature, feature compaction, classification.Abstract
LBP and majority of its variants performs extremely well in front of moderate
light variations. But when light variations becomes severe then performance
of LBP and its variants is not satisfactory. Therefore there is a need of the
more promising and impressive descriptor which performs well in harsh light
variations. To complement these LBP based descriptors the proposed work
launches the novel descriptor for Face Recognition (FR) in harsh lightning
variations. This proposed descriptor is called as Radial Orthogonal Median
LBP (ROM-LBP). The main demerit of these LBP based descriptors is that
they all consider the uniform coordination between the neighbors and center
pixel. Which mean raw pixel intensity is used for the comparison with the
center pixel. The proposed work eliminates this problem in the introduced
descriptor ROM-LBP, by replacing the raw pixels intensity with the median
of the radial points in each orthogonal position of the two separate groups.
The generated median is then used for comparison with the center pixel.
The respective codes obtained from both the groups are concatenated to
form the ROM-LBP size. As region feature extraction is done therefore ROM-LBP develops the large feature size. To make more effective descriptor,
the services of FLDA is used and then classification was conducted by SVMs.
Experiments conducted on EYB and YB datasets demonstrates the ability of
the proposed ROM-LBP against various LBP and non-LBP based descriptors.
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