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Original Article

A comprehensive comparative performance analysis of Laplacianfaces and Eigenfaces for face recognition

, &
Pages 32-40 | Accepted 29 Dec 2009, Published online: 12 Nov 2013

REFERENCES

  • He XF, Yan SC, Hu YX, Niyogi P, Zhang H-J. Face recognition using Laplacianfaces. IEEE Trans. Patt. Anal. Mach. Intell., 2005, 27, 328–340.
  • Sim T, Baker S, Bsat M. ‘The CMU pose, illumination, and expression (PIE) database of human faces’, Computer Science Technical Report 01-02, CMU, Pittsburgh, PA, USA, 2001.
  • Yale University. Face Image Database [online], 2002 [accessed 15 July 2010]. Available at: <http://cvc.yale.edu/projects/yalefaces/yalefaces.html>
  • Microsoft Research Asia. Face Image Database [online] [accessed 15 July 2010]. Available at: <http://research.microsoft.com/en-us/groups/vc/>
  • Delac K, Grgic M, Grgic S. Independent comparative study of PCA, ICA, and LDA on the FERET data set. Int. J. Imag. Syst. Technol., 2006, 15, 252–260.
  • Baek K, Draper BA, Beveridge JR, She K. PCA vs. ICA: a comparison on the FERET data set, Proc. Joint Conf. on Information sciences: JCIS 2002, Durham, NC, USA, March 2002, Association for Intelligent Machinery, pp. 824–827.
  • Martinez AM, Kak AC. PCA versus LDA. IEEE Trans. Patt. Anal. Mach. Intell., 2001, 23, 228–233.
  • CSU. The CSU Face Identification Evaluation System: Version 5.0 [online], 2003 [accessed 15 July 2010]. Available at: <http://www.cs.colostate.edu/evalfacerec/algorithms5.html>
  • Phillips PJ, Wechsler H, Huang J, Rauss P. The FERET database and evaluation procedure for face recognition algorithms. Image Vision Comput., 1998, 16, 295–306.
  • Phillips PJ, Moon H, Rizvi SA, Rauss PJ. The FERET evaluation methodology for face recognition algorithms. IEEE Trans. Patt. Anal. Mach. Intell., 2000, 22, 1090–1104.
  • NIST. FERET Database [online], 2001 [accessed 15 July 2010]. Available at: <http://www.itl.nist.gov/iad/humanid/feret/>.
  • Yambor W, Draper B, Beveridge R. Analyzing PCA-based face recognition algorithms: eigenvector selection and distance measures, in Empirical evaluation methods in computer vision (Ed. , Christensen H, Phillips J), 2002 (World Scientific Press, Singapore).
  • Bhatti ZE, Bajwa UI, Taj IA. Introducing set of internal parameters for laplacian faces to enhance performance under varying conditions, Proc. 13th IEEE Int. Multitopic Conf.: INMIC 2009, Islamabad, Pakistan, December 2009, IEEE, pp. 279–283.
  • He X, Niyogi P. In Advances in Neural Information Processing Systems, Vol. 16, pp. 153–160 (MIT Press, Cambridge, CA).
  • Beveridge JR, She K, Draper B, Givens GH. A nonparametric statistical comparison of principal component and linear discriminant subspaces for face recognition, Proc. IEEE Int. Conf. on Computer vision and pattern recognition: CVPR 2001, Kauai, HI, USA, December 2001, IEEE Computer Society, pp. 535–542.
  • Modified version of csuFaceIdEval uploaded for public access [online [accessed 15 July 2010]]. Available at: <http://code.google.com/p/facerec/source>
  • Beveridge R, Bolme D, Teixeira M, Draper B. The CSU Face Identification Evaluation System User's Guide [online], 2003. Available at: <http://www.cs.colostate.edu/evalfacerec/algorithms/version5/faceIdUsersGuide.pdf>
  • Results of experimentations [online] [accessed 15 July 2010]. Available at: <http://code.google.com/p/facerec/downloads/list>

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