The negative effects of whitening transformation in face recognition

Fengxi Song; Dapeng Zhang

doi:10.1109/ISCID.2009.255

The negative effects of whitening transformation in face recognition

Fengxi Song, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	ISCID 2009 - 2009 International Symposium on Computational Intelligence and Design
Pages	437-440
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/ISCID.2009.255
Publication status	Published - 1 Dec 2009
Event	2009 International Symposium on Computational Intelligence and Design, ISCID 2009 - Changsha, Hunan, China Duration: 12 Dec 2009 → 14 Dec 2009

Conference

Conference	2009 International Symposium on Computational Intelligence and Design, ISCID 2009
Country/Territory	China
City	Changsha, Hunan
Period	12/12/09 → 14/12/09

Keywords

Face recognition
Linear discriminant analysis
Whitening transformation

ASJC Scopus subject areas

Computational Theory and Mathematics
Software

More information

10.1109/ISCID.2009.255

Cite this

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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.",

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AB - 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.

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KW - Linear discriminant analysis

KW - Whitening transformation

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DO - 10.1109/ISCID.2009.255

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BT - ISCID 2009 - 2009 International Symposium on Computational Intelligence and Design

T2 - 2009 International Symposium on Computational Intelligence and Design, ISCID 2009

Y2 - 12 December 2009 through 14 December 2009

ER -

The negative effects of whitening transformation in face recognition

Abstract

Conference

Keywords

ASJC Scopus subject areas

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