Sequential Row-Column 2DPCA for face recognition

Wankou Yang; Changyin Sun; Karl Ricanek

doi:10.1007/s00521-011-0676-5

Sequential Row-Column 2DPCA for face recognition

Wankou Yang
, Changyin Sun
, Karl Ricanek

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Abstract

For better representation and feature extraction of face images, a two-stage method, called Sequential Row-Column 2DPCA (RC2DPCA), is proposed in this paper, which uses 2DPCA operated in the row direction and alternative 2DPCA operated in column direction. RC2DPCA can compress image in row and column direction. RC2DPCA needs fewer coefficients for image representation than 2DPCA. The experimental results on the ORL and FERET face database show that RC2DPCA works well and surpasses 2DPCA, BDPCA, and GPCA.

Original language	English
Pages (from-to)	1729-1735
Number of pages	7
Journal	Neural Computing and Applications
Volume	21
Issue number	7
DOIs	https://doi.org/10.1007/s00521-011-0676-5
State	Published - Oct 2012
Externally published	Yes

Keywords

2DPCA
Face recognition
Feature extraction
PCA
RC2DPCA

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10.1007/s00521-011-0676-5

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title = "Sequential Row-Column 2DPCA for face recognition",

abstract = "For better representation and feature extraction of face images, a two-stage method, called Sequential Row-Column 2DPCA (RC2DPCA), is proposed in this paper, which uses 2DPCA operated in the row direction and alternative 2DPCA operated in column direction. RC2DPCA can compress image in row and column direction. RC2DPCA needs fewer coefficients for image representation than 2DPCA. The experimental results on the ORL and FERET face database show that RC2DPCA works well and surpasses 2DPCA, BDPCA, and GPCA.",

keywords = "2DPCA, Face recognition, Feature extraction, PCA, RC2DPCA",

author = "Wankou Yang and Changyin Sun and Karl Ricanek",

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T1 - Sequential Row-Column 2DPCA for face recognition

AU - Yang, Wankou

AU - Sun, Changyin

AU - Ricanek, Karl

PY - 2012/10

Y1 - 2012/10

N2 - For better representation and feature extraction of face images, a two-stage method, called Sequential Row-Column 2DPCA (RC2DPCA), is proposed in this paper, which uses 2DPCA operated in the row direction and alternative 2DPCA operated in column direction. RC2DPCA can compress image in row and column direction. RC2DPCA needs fewer coefficients for image representation than 2DPCA. The experimental results on the ORL and FERET face database show that RC2DPCA works well and surpasses 2DPCA, BDPCA, and GPCA.

AB - For better representation and feature extraction of face images, a two-stage method, called Sequential Row-Column 2DPCA (RC2DPCA), is proposed in this paper, which uses 2DPCA operated in the row direction and alternative 2DPCA operated in column direction. RC2DPCA can compress image in row and column direction. RC2DPCA needs fewer coefficients for image representation than 2DPCA. The experimental results on the ORL and FERET face database show that RC2DPCA works well and surpasses 2DPCA, BDPCA, and GPCA.

KW - 2DPCA

KW - Face recognition

KW - Feature extraction

KW - PCA

KW - RC2DPCA

UR - https://www.scopus.com/pages/publications/84866468183

U2 - 10.1007/s00521-011-0676-5

DO - 10.1007/s00521-011-0676-5

M3 - 文章

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VL - 21

SP - 1729

EP - 1735

JO - Neural Computing and Applications

JF - Neural Computing and Applications

IS - 7

ER -

Sequential Row-Column 2DPCA for face recognition

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Keywords

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