MODIFIED LOCAL BINARY PATTERN FOR HUMAN FACE RECOGNITION BASED ON SPARSE REPRESENTATION

Guermoui Mawloud and Melaab Djamel

References

  1. [1] M. Turk and A. Pentland, Eigen faces for recognition, Journal of Cognitive Neuroscience, 3, 1991, 72–86.
  2. [2] P. Belhumer, P. Hespanha, and D. Kriegman, Eigen facesvs. fisher faces: recognition using class specific linear projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7), 1997, 711–720.
  3. [3] K. Etemad and R. Chellappa, Discriminant analysis for recognition of human face images, Journal of the Optical Society of America, 14, 1997, 1724–1733.
  4. [4] X. He, X. Yan, Y. Hu, P. Niyogi, and H. Zhang, Face recognition using Laplacianfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(3), 2005, 328–340.
  5. [5] J. Yang, D. Zhang, A.F. Frangi, and J. Yang, Two-dimensional PCA: a new approach to appearance-based face representation and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1), 2004, 131–137.
  6. [6] B. Heisele, P. Ho, J. Wu, and T. Poggio, Face recognition: component-based versus global approaches, Compter Vision and Image Understanding, 91(1–2), 2003, 6–21.
  7. [7] D. Lowe, Distance image features from scale-invariant key points, International Journal of Computer Vision, 60 (2), 2004, 91–110.
  8. [8] T. Ojala, M. Pietikainen, and D. Harwood, A comparativestudy of texture measures with classification based on featured distributions, Pattern Recognition, 29(1), 1996, 51–59.
  9. [9] T. Ojala, M. Pietikainen, and T. M¨aenp¨a¨a, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 (7), 2002, 971–987.
  10. [10] T. Ahonen, A. Hadid, and M. Pietikainen, Face recognition with local binary patterns, Proc. European Conf. on Computer Vision, LNCS 3021, 2004, 469–481.
  11. [11] D.L. Donoho, Compressed sensing, IEEE Transactions onInformation. Theory, 52(4), April 2006, 1289–1306.
  12. [12] R.G. Baraniuk, Compressive sensing [lecture notes], IEEE Signal Processing Magazine, 24, 2007, 118–121.
  13. [13] E.J. Candes, and M.B. Wakin, An introduction to compressive sampling, IEEE Signal Processing Magazine, 25, 2008, 21–30.
  14. [14] J. Wright, J. Yang, A.Y. Ganesh, A. Sastry, and S.S. Yi Ma, Robust face recognition via sparse representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, February 2009, 210–227.
  15. [15] S. Zhang, S. Zhao, and B. Lei, Robust facial expression recognition using sparse representation, Wseas Transactions on Systems, 11(8), August 2012, 3747–3761.
  16. [16] C.-H. Duan, C.-K. Chiang, and S.-H. Lai, Face verification with local sparse representation, IEEE Signal Processing Letters, 20(2), 2013, 177–180.
  17. [17] W. Zhang, S. Shan, W. Gao, X. Chen, and H. Zhang,Local Gabor binary pattern histogram sequence (LGBPHS): anovel non-statistical model for face representation and recognition, Proc. 10th IEEE Int. Conf. on Computer Vision, 2005, 786–791.
  18. [18] Y. Zhao, W. Jia, R.X. Hu, and H. Min, Completed robust local binary pattern for texture classification, Neuro Computing, 106, 2013, 68–76.
  19. [19] S. Nazari and M.-S. Moin, Face recognition using global and local Gabor features, Proc. (ICEE) 21st Iranian Conference on Digital Object Identifier, 2013, 1–4.
  20. [20] L. Weifeng and W. Zengfu, Facial expression recognition based on fusion of multiple Gabor features pattern, Proc. (ICPR) 18th Int. Conf. on 2006, 536–539.
  21. [21] L. Sirovich and M. Kirby, Low dimensional procedure for characterization of human faces, Journal of the Optical Society of America, 4, March 1987, 519–524.
  22. [22] Compressive Sensing: http://www.dsp.ece.rice.edulcs.
  23. [23] M. Elad, Sparse and redundant representations (New York: Springer, 2009).
  24. [24] The ORL Database of Faces, AT & T (Olivetti) Research Laboratories, Cambridge, [Online]. Available:http://www.cl.cam.ac.uk/Research/DTG/attarchive:pub/data/ attfaces. 577 tar.Z
  25. [25] K.C. Lee, J. Ho, and D.J. Kriegman, Acquiring linear subspaces for face recognition under variable lighting, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5), May 2005, 684–698.
  26. [26] A.V. Nefian, M. Khosravi, and M.H. Hayes, Real-Time detection of human faces in uncontrolled environments, Proc. SPIE Conf. on Visual Communications and Image Processing, 3024, 1997, 211–219.
  27. [27] X.Y. Tan and B. Triggs, Enhanced local texture feature sets for face recognition under difficult lighting conditions, IEEE Transactions on Image Processing, 19(6), 2010, 1635–1650.
  28. [28] P. Viola and M. Jones, Robust real-time object detection, International Journal of Computer Vision, 57, 2004, 137–154.
  29. [29] M. Bicego, A. Lagorio, E. Grosso, and M. Tistarelli, On the use of SIFT features for face authentication, Proc. of IEEE Int. Workshop on Biometrics, CVPR, NY, 2006.

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