A Hybrid Color and Frequency

peachpuceAI and Robotics

Nov 6, 2013 (3 years and 9 months ago)

73 views

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

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

Introduction

P. Jonathon Phillips, et al. 2005

controlled still images

uncontrolled still images

3D scans

6

Introduction


FRGC


uncontrolled illumination
conditions


Eigenfaces and Fisherfaces method


X

7

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

8

Introduction


R is more effective than the luminance

……Peichung Shih and Chengjun Liu, 2005




9

Algorithms and procedures

10

Algorithms and procedures

Initial
image

R, I, Q

Real part

Discrete Fourier transform of a face image

Imaginary

part

Magnitude


Mask

11

Algorithms and procedures

12

Algorithms and procedures

13

Algorithms and procedures

14

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

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,

)
(
)
(
)
(
w
b
S
S
tr
J

18

Algorithms and procedures

0.9

0.55

0.95

19

Result

20

Our Result

Training

Test

11

21

Our Result

me
tho
d:

RI
Q









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Q









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22

Our Result


mRIQ: 84%


mR,mI,mQ:79%



better

worst

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

Thanks for your attention.