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
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
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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
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Introduction
P. Jonathon Phillips, et al. 2005
controlled still images
uncontrolled still images3D scans
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Introduction
• FRGC uncontrolled illumination conditions
• Eigenfaces and Fisherfaces method X
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Introduction
• RIQ : R of the RGB + IQ of the YIQ
• YIQ NTSC color TV system
• Y: luminance
Hybrid Color and Frequency Features (CFF) method
I
Q
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Introduction
• R is more effective than the luminance……Peichung Shih and Chengjun Liu, 2005
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Algorithms and procedures
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Algorithms and procedures
Initial image
R, I, Q
Real part
Discrete Fourier transform of a face image
Imaginary part
Magnitude Mask
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Algorithms and procedures
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Algorithms and procedures
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Algorithms and procedures
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Algorithms and procedures
• EFM method:– PCA reduce dimensionality– FLD separated pattern classes
• PCA:X :a random vector representing a frequency pattern vector.
: are the eigenvectors largest eigenvalues of X
Y: reduced pattern vector
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Algorithms and procedures
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Algorithms and procedures
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Algorithms and procedures
• FLD:
S(w) : within-class scatter matrixS(b) : between-class scatter matrix,
)( )(
)(
w
b
SStrJ
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Algorithms and procedures
0.9 0.55 0.95
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Result
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Our Result
Training Test
11
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Our Result method:
RIQ R I Q
1 8 8 8 1 8 8 8 1 8 8 8 1 8 8 8 1
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
5 5 5 3 5 5 5 3 5 5 5 3 5 5 5 3 5
6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
7 1 1 7 10 1 1 7 10 1 1 7 10 1 1 7 10
8 8 8 8 8 8 8 9 8 8 8 9 8 8 8 9 8
9 9 9 9 9 8 1 9 9 8 1 9 9 8 1 9 9
10 10 7 10 10 10 7 10 10 10 7 10 10 10 7 10 10
11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
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Our Result
• mRIQ: 84%
• mR,mI,mQ:79%
better
worst
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Conclusion
• This correspondence presents a novel hybrid Color and Frequency Features (CFF) method for face recognition
• The hybrid color space improves face recognition performance
Thanks for your attention.