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Normalizing illumination Against varying light conditions For face recognition. Final Project ECE 738 May 4 th , 2005 Lee, Kang Eui. Introduction. Face Recognition remains an unsolved problem in general Pose variation Illumination variation
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Normalizing illumination Against varying light conditionsFor face recognition Final Project ECE 738 May 4th, 2005 Lee, Kang Eui
Introduction • Face Recognition remains an unsolved problem in general • Pose variation • Illumination variation • Canonical form approaches for illumination variation • Normalize the variation in appearance • HE, GIC, QIR
Histogram Equalization Result of HE
Gamma Intensity Correction • Correct the overall brightness of the face image to a predefined ‘canonical’ image • Canonical image • Face image under some normal lighting condition • Correction is performed using Gamma Trans. Result of GIC
Regional HE(RHE) & GIC(RGIC) • HE and GIC are global transforms • Fail to compensate for the side lighting • Localized transform is needed • Ideally, partition should be done according to the structure of the facial organs. • However, complicated region partition approach • Instead, simply partition the face into four regions
Results of RHE & RGIC Regional HE Regional GIC
Results Result of QIR
Overall Result using Eigenface approach Used database: Yale Face Database B