Advertisement

HVPN: The Combination of Horizontal and Vertical Pose Normalization for Face Recognition

  • Hui-Zhen Gu
  • Yung-Wei Kao
  • Suh-Yin Lee
  • Shyan-Ming Yuan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5371)

Abstract

Face recognition has received much attention with numerous applications in various fields. Although many face recognition algorithms have been proposed, usually they are not highly accurate enough when the poses of faces vary considerably. In order to solve this problem, some researches have proposed pose normalization algorithm to eliminate the negative effect cause by poses. However, only horizontal normalization has been considered in these researches. In this paper, the HVPN (Horizontal and Vertical Pose Normalization) system is proposed to accommodate the pose problem effectively. A pose invariant reference model is re-rendered after the horizontal and vertical pose normalization sequentially. The proposed face recognition system is evaluated based on the face database constructed by our self. The experimental results demonstrate that pose normalization can improve the recognition performance using conventional principal component analysis (PCA) and linear discriminant analysis (LDA) approaches under varying pose. Moreover, we show that the combination of horizontal and vertical pose normalization can be evaluated with higher performance than mere the horizontal pose normalization.

Keywords

pose normalization face recognition 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Zhao, W., Chellappa, R.A., Phillips, P.J., Rosenfeld: Face recognition: a literature survey. ACM Computing Surveys, 399–458 (2003)Google Scholar
  2. 2.
    Turk, M.A., Pentland, A.: Face recognition using eigenfaces. In: Proc. IEEE Conf. CVPR, pp. 586–591 (1991)Google Scholar
  3. 3.
    Pentland, A., Moghaddam, B., Starner, T.: View-based and modular eigenspaces for face recognition. In: Proc. Of IEEE Conf. CVPR, pp. 84–91 (1994)Google Scholar
  4. 4.
    Cootes, T., Walker, K., Taylor, C.: View-based active appearance models. In: Proc. Of Intl. Conf. on FG, pp. 227–238 (2000)Google Scholar
  5. 5.
    Wiskott, L., Fellous, J.M., Kruger, N., Vonder Malsburg, C.: Face recognition by elastic bunch graph matching. IEEE Trans. Pattern Analysis and Machine Intelligence 19(7), 775–779 (1997)CrossRefGoogle Scholar
  6. 6.
    Gu, H.-Z., Lee, S.-Y.: Automatic Morphing for Face Recognition. The Tenth World Conference on Integrated Design & Process Technology, IDPT (2007)Google Scholar
  7. 7.
    Beier, T., Neely, S.: Feature-based image metamorphosis. SIGGRAPH 26, 35–42 (1992)CrossRefGoogle Scholar
  8. 8.
    Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Analysis and Machine Intelligence 19(7), 711–720 (1997)CrossRefGoogle Scholar
  9. 9.
    Martinez, A.M., Kak, A.C.: PCA versus LDA. IEEE Trans. Pattern Analysis and Machine Intelligence 23(2), 228–233 (2001)CrossRefGoogle Scholar
  10. 10.
    Canny, J.F.: A computational approach to edge detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)CrossRefGoogle Scholar
  11. 11.
    Chien, J.-T., Wu, C.-C.: Discriminant waveletfaces and nearest feature classifiers for face recognition. IEEE Trans. Circuits System Video Technology 14(1), 42–49 (2004)CrossRefGoogle Scholar
  12. 12.
    Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Analysis and Machine Intelligence 19(7), 711–720 (1997)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hui-Zhen Gu
    • 1
  • Yung-Wei Kao
    • 1
  • Suh-Yin Lee
    • 1
  • Shyan-Ming Yuan
    • 1
    • 2
  1. 1.Department of Computer Science and EngineeringNational Chiao Tung UniversityHsinchuTaiwan
  2. 2.Department of Computer Science and EngineeringAsia UniversityWufengTaiwan

Personalised recommendations