Illumination-normalized face recognition using Chromaticity Intrinsic Image

Wuming Zhang, Xi Zhao, Di Huang, Jean-Marie Morvan, Yunhong Wang, Liming Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Face recognition (FR) across illumination variations endeavors to alleviate the effect of illumination changes on human face, which remains a great challenge in reliable FR. Most prior studies focus on normalization of holistic lighting intensity while neglecting or simplifying the mechanism of image color formation. In contrast, we propose in this paper a novel approach for lighting robust FR through building the underlying reflectance model which characterizes the appearance of face surface. Specifically, the proposed illumination processing pipeline sheds light on interactions among face surface, lighting and camera, and enables generation of Chromaticity Intrinsic Image (CII) in a log space which is robust to illumination variations. Experimental results on CMU-PIE and ESRC face databases show the effectiveness of the proposed approach to deal with lighting variations in FR.

Original languageEnglish (US)
Title of host publicationProceedings of 2015 International Conference on Biometrics, ICB 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-192
Number of pages8
ISBN (Electronic)9781479978243
DOIs
StatePublished - Jun 29 2015
Event8th IAPR International Conference on Biometrics, ICB 2015 - Phuket, Thailand
Duration: May 19 2015May 22 2015

Publication series

NameProceedings of 2015 International Conference on Biometrics, ICB 2015

Other

Other8th IAPR International Conference on Biometrics, ICB 2015
CountryThailand
CityPhuket
Period05/19/1505/22/15

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Biomedical Engineering
  • Safety, Risk, Reliability and Quality

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