Robust face recognition across lighting variations using synthesized exemplars

Sang Woong Lee, Song Hyang Moon, Seong Whan Lee

Research output: Contribution to journalConference articlepeer-review


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
Pages (from-to)213-222
Number of pages10
JournalLecture Notes in Computer Science
Issue numberPART I
Publication statusPublished - 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 2005 Aug 232005 Aug 26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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