Open AccessFace Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
Author(s) -
SangIl Choi
Publication year - 2012
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/52939
Subject(s) - computer science , artificial intelligence , computer vision , facial recognition system , shadow (psychology) , face (sociological concept) , pixel , variation (astronomy) , pattern recognition (psychology) , image (mathematics) , selection (genetic algorithm) , compensation (psychology) , three dimensional face recognition , noise (video) , face detection , psychology , social science , physics , sociology , astrophysics , psychoanalysis , psychotherapist
We propose a robust face recognition method under illumination variation. By using shadow compensation methods, we restore the image of a facial image taken under arbitrary illumination into an image that is similar to the image taken with frontal illumination. Then we apply a pixel selection method to these restored images in order to reduce the noise components, which can interfere with the extraction of discriminant features for face recognition. The experimental results for the CMU-PIE, Yale B and Multi-PIE databases show that the proposed method results in the improvement of recognition performance under illumination variation