Multi-scale Local Binary Pattern Histograms for Face Recognition

  • Chi-Ho Chan
  • Josef Kittler
  • Kieron Messer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA) of multi-scale local binary pattern histograms is proposed for face recognition. The face image is first partitioned into several non-overlapping regions. In each region, multi-scale local binary uniform pattern histograms are extracted and concatenated into a regional feature. The features are then projected on the LDA space to be used as a discriminative facial descriptor. The method is implemented and tested in face identification on the standard Feret database and in face verification on the XM2VTS database with very promising results.

Keywords

Face Recognition Linear Discriminant Analysis Recognition Rate Face Image Local Binary Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Heusch, G., Rodriguez, Y., Marcel, S.: Local Binary Patterns as an Image Preprocessing for Face Authentication. In: Proc FGR 2006, pp. 9–14 (2006)Google Scholar
  2. 2.
    Zhang, G., Huang, Z., Li, S.Z.: Boosting local binary pattern (LBP)-based face recognition. In: Li, S.Z., Lai, J.-H., Tan, T., Feng, G.-C., Wang, Y. (eds.) SINOBIOMETRICS 2004. LNCS, vol. 3338, pp. 179–186. Springer, Heidelberg (2004)Google Scholar
  3. 3.
    Beveridge, J.R., Bolme, D., Teixeira, M., Draper, B.: The CSU Face Identification Evaluation System User’s Guide: Version 5.0, Technical Report, C.S. Dept., CSU (2003)Google Scholar
  4. 4.
    Messer, K., Matas, J., Kittler, J., Jonsson, K.: XM2VTSDB: The extended M2VTS database. In: Akumuri, S., Kullman, C. (eds.) AVBPA 1999, pp. 72–77 (1999)Google Scholar
  5. 5.
    Messor, K., Kittler, J., Short, J., Heusch, G., Cardinaux, F., Marcel, S., Rodriguez, Y., Shan, S., Su, Y., Gao, W., Chen, X.: Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes. In: ICB 2006, pp. 1–11 (2006)Google Scholar
  6. 6.
    Philips, P.J., Moon, H.J., Rizvi, S.A., Rauss, P.J.: The FERET Evaluation Methodology for Face Recognition Algorithms. PAMI 22(10), 1090–1104 (2000)Google Scholar
  7. 7.
    Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition using Class Specific Linear Projection. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1065, pp. 45–56. Springer, Heidelberg (1996)Google Scholar
  8. 8.
    Shan, S., Zhang, W., Su, Y., Xhen, X., Gao, W.: Ensemble of Piecewise FDA based on Spatial Histogram of Local (Gabor) Binary Patterns for Face Recognition. In: ICPR (2006)Google Scholar
  9. 9.
    Ahonen, T., Hadid, A., Pietikäinen, M.: Face description with local binary patterns: Application to face recognition. PAMI 28(12), 2037–2041 (2006)Google Scholar
  10. 10.
    Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. PAMI 24(7), 971–987 (2002)Google Scholar
  11. 11.
    Zhang, W., Shan, S., Zhang, H., Gao, W., Chen, X.: Multi-resolution histogram of local variation patterns (MHLVP) for Robust Face Recognition. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 937–944. Springer, Heidelberg (2005)Google Scholar
  12. 12.
    Huang, X., Li, S.Z., Wang, Y.: Jensen-Shannon Boosting Learning for Object recognition. In: Proceeding of CVPR (2005)Google Scholar
  13. 13.
    Raja, Y., Gong, S.: Sparse Multiscale Local Binary Patterns. In: Proc. 17th BMVC (2006)Google Scholar
  14. 14.
    Rodriguez, Y., Marcel, S.: Face authentication using adapted local binary pattern histogram. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 321–332. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Chi-Ho Chan
    • 1
  • Josef Kittler
    • 1
  • Kieron Messer
    • 1
  1. 1.Centre for Vision, Speech and Signal Processing, University of SurreyUnited Kingdom

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