Robust face recognition across lighting variations using synthesized exemplars

Sang Woong Lee, Song Hyang Moon, Seong Whan Lee

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

Abstract

In this paper, we propose a new face recognition method under arbitrary lighting conditions, given only a single registered image and training data under unknown illuminations. Our proposed method is based on the exemplars which are synthesized from photometric stereo images of training data and the linear combination of those exemplars are used to represent the new face. We make experiments for verifying our approach and compare it with two traditional approaches. As a result, higher recognition rates are reported in these experiments using the illumination subset of Max-Planck Institute Face Database.

Original languageEnglish
Title of host publicationAdvances in Intelligent Computing - International Conference on Intelligent Computing, ICIC 2005, Proceedings
EditorsDe-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang
PublisherSpringer Verlag
Pages213-222
Number of pages10
ISBN (Print)9783540282266
DOIs
Publication statusPublished - 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 2005 Aug 232005 Aug 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3644 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Intelligent Computing, ICIC 2005
Country/TerritoryChina
CityHefei
Period05/8/2305/8/26

Keywords

  • Covariance

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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