1. Final Project ECE 738 May 4th, 2005 Lee, Kang Eui
Normalizing illumination Against varying light conditions For face recognition
Final Project
ECE 738
May 4th, 2005
Lee, Kang Eui

2. 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

3. Histogram Equalization
Result of HE

4. 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

5. 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

6. Results of RHE & RGIC
Regional HE
Regional GIC

7. Quotient Illumination Relighting

8. Results
Result of QIR

9. Overall Result using Eigenface approach
Used database: Yale Face Database B