Illumination normalization for face recognition and uneven background correction using total variation based image models

Terrence Chen, Wotao Yin, Xiang Scan Zhou, Dorin Comaniciu, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a new algorithm for illumination normalization and uneven background correction in images, utilizing the recently proposed TV+L 1 model: minimizing the total variation of the output cartoon while subject to an L1norm fidelity term. We give intuitive proofs of its main advantages, including the well-known edge preserving capability, minim.al signal distortion, and scale-dependent hut intensity-independent foreground extraction. We then propose a novel TV-based quotient image model (TVQI)for illumination normalization, an important preprocessing for face recognition under different lighting conditions. Using this model, we achieve 100% face recognition rate on Yale face database B if the reference images are under good lighting condition and 99.45% if not. These results, compared to the average 65% recognition rate of the quotient image model and the average 95% recognition rate of the more recent self quotient image model, show a clear improvement. In addition, this model requires no training data, no assumption on the light source, and no alignment between different images for illumination normalization. We also present the results of the related applications - uneven background correction for cDNA microarray films and digital microscope images. We believe the proposed works can serve important roles in the related fields.4.

Original languageEnglish (US)
Title of host publicationProceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
PublisherIEEE Computer Society
Pages532-539
Number of pages8
ISBN (Print)0769523722, 9780769523729
DOIs
StatePublished - 2005
Event2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - San Diego, CA, United States
Duration: Jun 20 2005Jun 25 2005

Publication series

NameProceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
VolumeII

Other

Other2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Country/TerritoryUnited States
CitySan Diego, CA
Period6/20/056/25/05

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Illumination normalization for face recognition and uneven background correction using total variation based image models'. Together they form a unique fingerprint.

Cite this