A New Hybrid Architecture for Human Activity Recognition ...
A Hybrid Color and Frequency Features Method for Face Recognition
description
Transcript of A Hybrid Color and Frequency Features Method for Face Recognition
Zhiming Liu and Chengjun Liu, IEEE
A Hybrid Color and Frequency Features
Methodfor Face Recognition
Introduction
Algorithms and procedures
Experiments
Conclusion
Outline
Uncontrolled illumination
Color information and frequency features derived by means of the Discrete Fourier Transform (DFT) help improve face recognition performance.
This correspondence presents a novel hybrid Color and Frequency Features (CFF) method for face recognition.
Introduction
Introduction
RIQ : R of the RGB + IQ of the YIQ
Algorithms and procedures
Initial image
R, I, Q
Real part
Discrete Fourier transform of a face image
Imaginary part
Magnitude Mask
Algorithms and procedures
Algorithms and procedures
Algorithms and procedures
Algorithms and procedures
EFM method:PCA reduce dimensionalityFLD separated pattern classes
PCA: Let
……..(1) (m<N)
X :a random vector representing a frequency pattern vector.
: are the eigenvectors largest eigenvalues of X
Algorithms and procedures
Algorithms and procedures
Algorithms and procedures
FLD:
S(w) : within-class scatter matrixS(b) : between-class scatter matrix,
)( )(
)(
w
b
SStrJ
Algorithms and procedures
Algorithms and procedures
Algorithms and procedures
Database: FRGC version 2 Experiment 4
the Training set contains 12 776 images that are either controlled or uncontrolled.
Experiments
Experiments
Experiments
Experiments
0.9 0.55 0.95
Experiments
Experiments
Experiments
Future research will consider applying kernel methods, such as the multiclass Kernel Fisher Analysis (KFA) method presented in [9], to replace the EFM method for improving face recognition performance.
The hybrid color space improves face recognition performance.
Conclusion
Thanks for your attention !!!