Skip to main content
Top
Published in: Neural Computing and Applications 7/2012

01-10-2012 | Original Article

Sequential Row–Column 2DPCA for face recognition

Authors: Wankou Yang, Changyin Sun, Karl Ricanek

Published in: Neural Computing and Applications | Issue 7/2012

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Zhao W, Chellappa R, Phillips PJ et al (2003) Face recognition: a literature survey [J]. ACM Comput Surv 35(4):399–459CrossRef Zhao W, Chellappa R, Phillips PJ et al (2003) Face recognition: a literature survey [J]. ACM Comput Surv 35(4):399–459CrossRef
2.
go back to reference Bowyer KW, Chang K, Flym P (2006) A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition. Comput Vis Image Underst 101:1–15CrossRef Bowyer KW, Chang K, Flym P (2006) A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition. Comput Vis Image Underst 101:1–15CrossRef
3.
go back to reference Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86CrossRef Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86CrossRef
4.
go back to reference Yang J, Zhang D, Yang J (2004) Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans Pattern Anal Mach Intell 26(1):131–137CrossRef Yang J, Zhang D, Yang J (2004) Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans Pattern Anal Mach Intell 26(1):131–137CrossRef
5.
go back to reference Ye J, Janardan R, Li Q (2004) GPCA: an efficient dimension reduction scheme for image compression and retrieval. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, Seattle, WA, USA, 22–25 Aug 2004. KDD ‘04. ACM, New York, NY, pp 354–363 Ye J, Janardan R, Li Q (2004) GPCA: an efficient dimension reduction scheme for image compression and retrieval. In: Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining, Seattle, WA, USA, 22–25 Aug 2004. KDD ‘04. ACM, New York, NY, pp 354–363
6.
go back to reference Ye J (2004) Generalized low rank approximations of matrices. In: Proceedings of the twenty-first international conference on machine learning, Banff, Alberta, Canada, 04–08 July 2004. ICML ‘04, vol 69. ACM, New York, NY, p 112 Ye J (2004) Generalized low rank approximations of matrices. In: Proceedings of the twenty-first international conference on machine learning, Banff, Alberta, Canada, 04–08 July 2004. ICML ‘04, vol 69. ACM, New York, NY, p 112
7.
go back to reference He X, Cai D, Niyogi P (2005) Tensor subspace analysis. Advances in neural information processing systems 18. Vancouver, Canada He X, Cai D, Niyogi P (2005) Tensor subspace analysis. Advances in neural information processing systems 18. Vancouver, Canada
8.
go back to reference Tao D, Li X, Wu X et al (2007) General tensor discriminant analysis and gabor features for gait recognition. IEEE Trans Pattern Anal Mach Intell 29(10):1700–1715 Tao D, Li X, Wu X et al (2007) General tensor discriminant analysis and gabor features for gait recognition. IEEE Trans Pattern Anal Mach Intell 29(10):1700–1715
9.
go back to reference Tao D, Li X, Hu W et al (2007) Supervised tensor learning. Knowl Inf Syst (Springer: KAIS) 2:1670–1677 Tao D, Li X, Hu W et al (2007) Supervised tensor learning. Knowl Inf Syst (Springer: KAIS) 2:1670–1677
10.
go back to reference Wang L, Wang X, Zhang X, Feng J (2005) The equivalence of two-dirmensional PCA to line-based PCA. Pattern Recognit Lett 26(1):57–60 Wang L, Wang X, Zhang X, Feng J (2005) The equivalence of two-dirmensional PCA to line-based PCA. Pattern Recognit Lett 26(1):57–60
11.
go back to reference Zuo W, Zhang D, Wang K (2006) Bidirectional PCA with assembled matrix distance metric for image recognition. IEEE Trans Syst Man Cybern-Part B 36(4):862–872 Zuo W, Zhang D, Wang K (2006) Bidirectional PCA with assembled matrix distance metric for image recognition. IEEE Trans Syst Man Cybern-Part B 36(4):862–872
12.
go back to reference Zuo W, Zhang D, Yang J, Wang K (2006) BDPCA plus LDA: a novel fast feature extraction technique for face recognitino. IEEE Trans Syst Man Cybern-Part B 36(4):946–952CrossRef Zuo W, Zhang D, Yang J, Wang K (2006) BDPCA plus LDA: a novel fast feature extraction technique for face recognitino. IEEE Trans Syst Man Cybern-Part B 36(4):946–952CrossRef
13.
go back to reference Zhang D, Zhou Z (2005) (2D)2PCA: 2-directional 2-dimensional PCA for efficient face representation and recognition. Neurocomputing 69(1–3):224–231CrossRef Zhang D, Zhou Z (2005) (2D)2PCA: 2-directional 2-dimensional PCA for efficient face representation and recognition. Neurocomputing 69(1–3):224–231CrossRef
14.
go back to reference Belhumeur V, Hespanha J, Kriegman D (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720CrossRef Belhumeur V, Hespanha J, Kriegman D (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720CrossRef
15.
go back to reference Phillips PJ, Moon H, Rizvi SA, Rauss PJ (2000) The FERET evaluation methodology for face-recognition algorithms. IEEE Trans Pattern Anal Mach Intell 22(10):1090–1104CrossRef Phillips PJ, Moon H, Rizvi SA, Rauss PJ (2000) The FERET evaluation methodology for face-recognition algorithms. IEEE Trans Pattern Anal Mach Intell 22(10):1090–1104CrossRef
Metadata
Title
Sequential Row–Column 2DPCA for face recognition
Authors
Wankou Yang
Changyin Sun
Karl Ricanek
Publication date
01-10-2012
Publisher
Springer-Verlag
Published in
Neural Computing and Applications / Issue 7/2012
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-011-0676-5

Other articles of this Issue 7/2012

Neural Computing and Applications 7/2012 Go to the issue

Premium Partner