Robust face recognition based on illumination invariant in nonsubsampled contourlet transform domain

被引：29

作者：

Cheng, Yong ^{[1
,2
]}

Hou, Yingkun ^{[1
,3
]}

Zhao, Chunxia ^{[1
]}

Li, Zuoyong ^{[1
,4
]}

Hu, Yong ^{[1
]}

Wang, Cailing ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Comp Sci & Technol, Nanjing 210094, Peoples R China

[2] Nanjing Inst Technol, Sch Commun Engn, Nanjing 211167, Peoples R China

[3] Taishan Univ, Sch Informat Sci & Technol, Tai An 271021, Shandong, Peoples R China

[4] Minjiang Univ, Dept Comp Sci, Fuzhou 350108, Peoples R China

来源：

NEUROCOMPUTING | 2010年 / 73卷 / 10-12期

基金：

美国国家科学基金会;

关键词：

Face recognition; Illumination invariant; Nonsubsampled contourlet transform (NSCT); Normalshrink; Image denoising; EIGENFACES;

D O I：

10.1016/j.neucom.2010.01.012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to alleviate the effect of illumination variations on face recognition, a novel face recognition algorithm based on illumination invariant in nonsubsampled contourlet transform (NSCT) domain is proposed. The algorithm first performs logarithm transform on original face images under various illumination conditions, which changes multiplicative illumination model into an additive one. Then NSCT is used to decompose the logarithm transformed images. After that, adaptive NormalShrink is applied to each directional subband of NSCT for illumination invariant extraction. Experimental results on the Yale B, the extended Yale and the CMU PIE face databases show that the proposed algorithm can effectively alleviate the effect of illumination on face recognition. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：2217 / 2224

页数：8

共 35 条

[1] Face recognition: The problem of compensating for changes in illumination direction [J].

Adini, Y ;

Moses, Y ;

Ullman, S .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :721-732

[2]

[Anonymous], P IEEE INT C AUT FAC

[3]

[Anonymous], NETWORK COMPUTATION

[4] Lambertian reflectance and linear subspaces [J].

Basri, R ;

Jacobs, DW .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (02) :218-233

[5] Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection [J].

Belhumeur, PN ;

Hespanha, JP ;

Kriegman, DJ .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :711-720

[6] A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition [J].

Bowyer, KW ;

Chang, K ;

Flynn, P .

COMPUTER VISION AND IMAGE UNDERSTANDING, 2006, 101 (01) :1-15

[7] Adaptive wavelet thresholding for image denoising and compression [J].

Chang, SG ;

Yu, B ;

Vetterli, M .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (09) :1532-1546

[8] HUMAN AND MACHINE RECOGNITION OF FACES - A SURVEY [J].

CHELLAPPA, R ;

WILSON, CL ;

SIROHEY, S .

PROCEEDINGS OF THE IEEE, 1995, 83 (05) :705-740

[9] Total variation models for variable lighting face recognition [J].

Chen, Terrence ;

Yin, Wotao ;

Zhou, Xiang Sean ;

Comaniciu, Dorin ;

Huang, Thomas S. .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 28 (09) :1519-1524

[10] The nonsubsampled contourlet transform: Theory, design, and applications [J].

da Cunha, Arthur L. ;

Zhou, Jianping ;

Do, Minh N. .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (10) :3089-3101

← 1 2 3 4 →