The negative effects of whitening transformation in face recognition

Fengxi Song, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Whitening transformation has widely been used in face recognition. Typically it is used in one of four ways: as a data preprocessing tool before feature extraction, to calculate statistically uncorrelated discriminant vectors, as a transitional step in calculating discriminant vectors, or as a data post-processing tool after feature extraction. The experimental studies presented in this paper demonstrate, however, that researchers' faith in this technique is misplaced and that in fact whitening transformation is inappropriately used, and actually has a negative effect in face recognition without proper analysis.
Original languageEnglish
Title of host publicationISCID 2009 - 2009 International Symposium on Computational Intelligence and Design
Pages437-440
Number of pages4
Volume2
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 International Symposium on Computational Intelligence and Design, ISCID 2009 - Changsha, Hunan, China
Duration: 12 Dec 200914 Dec 2009

Conference

Conference2009 International Symposium on Computational Intelligence and Design, ISCID 2009
Country/TerritoryChina
CityChangsha, Hunan
Period12/12/0914/12/09

Keywords

  • Face recognition
  • Linear discriminant analysis
  • Whitening transformation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

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