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 publicationLecture Notes in Computer Science
EditorsD.-S. Huang, X.-P. Zhang, G.-B. Huang
Pages213-222
Number of pages10
Volume3644
EditionPART I
Publication statusPublished - 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 2005 Aug 232005 Aug 26

Other

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

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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  • Cite this

    Lee, S. W., Moon, S. H., & Lee, S. W. (2005). Robust face recognition across lighting variations using synthesized exemplars. In D-S. Huang, X-P. Zhang, & G-B. Huang (Eds.), Lecture Notes in Computer Science (PART I ed., Vol. 3644, pp. 213-222)