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A Hybrid Color and Frequency Features Method for Face Recognition

A Hybrid Color and Frequency Features Method for Face Recognition. 程式開發:賴博文 報告者:邱威智 ISMP 郭淑美老師實驗室. 成員: 賴博文 鄭鈺勳 邱威智. Outline. Introduction Algorithms and procedures Result Conclusion. Introduction. Face Recognition Grand Challenge (FRGC)

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A Hybrid Color and Frequency Features Method for Face Recognition

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  1. A Hybrid Color and Frequency Features Methodfor Face Recognition 程式開發:賴博文 報告者:邱威智 ISMP 郭淑美老師實驗室 成員: 賴博文 鄭鈺勳 邱威智

  2. Outline • Introduction • Algorithms and procedures • Result • Conclusion

  3. Introduction Face Recognition Grand Challenge (FRGC) • New face recognition techniques Face Recognition Vendor Test (FRVT) 2002 results ?  FRGC P. Jonathon Phillips, et al. 2005

  4. Introduction Face Recognition Grand Challenge (FRGC) • 6 experiments: • still images : • controlled lighting and background • uncontrolled lighting and background • 3D imagery • multi-still imagery • between 3D and still images P. Jonathon Phillips, et al. 2005

  5. controlled still images 3D scans uncontrolled still images P. Jonathon Phillips, et al. 2005 Introduction

  6. Introduction • FRGC  uncontrolled illumination conditions • Eigenfaces and Fisherfaces method  X

  7. I Q Introduction Hybrid Color and Frequency Features (CFF) method • RIQ : R of the RGB + IQ of the YIQ • YIQ  NTSC color TV system • Y: luminance

  8. Introduction • R is more effective than the luminance ……Peichung Shih and Chengjun Liu, 2005

  9. Algorithms and procedures

  10. Discrete Fourier transform of a face image Imaginary part Initial image R, I, Q Real part Magnitude Mask Algorithms and procedures

  11. Algorithms and procedures

  12. Algorithms and procedures

  13. Algorithms and procedures

  14. X :a random vector representing a frequency pattern vector. : are the eigenvectors  largest eigenvalues of X Algorithms and procedures • EFM method: • PCA reduce dimensionality • FLD separated pattern classes • PCA: Y: reduced pattern vector

  15. Algorithms and procedures

  16. Algorithms and procedures

  17. Algorithms and procedures • FLD: S(w) : within-class scatter matrix S(b) : between-class scatter matrix,

  18. 0.9 0.55 0.95 Algorithms and procedures

  19. Result

  20. Our Result Training Test } 11

  21. Our Result

  22. worst } better Our Result • mRIQ: 84% • mR,mI,mQ:79%

  23. Conclusion • This correspondence presents a novel hybrid Color and Frequency Features (CFF) method for face recognition • The hybrid color space improves face recognition performance

  24. Thanks for your attention.

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