1 / 9

Normalizing illumination Against varying light conditions For face recognition

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

zhen
Download Presentation

Normalizing illumination Against varying light conditions For face recognition

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Normalizing illumination Against varying light conditionsFor 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

More Related