A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Pattern

被引：0

作者：

Lian, Zhichao ^{[1
]}

Er, Meng Joo ^{[1
]}

Li, Juekun ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2 | 2011年 / 6855卷

关键词：

Face Recognition; Illumination Variation; Local Binary Pattern; NORMALIZATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Local Binary Pattern (LBP) is one of the most important facial texture features in face recognition. In this paper, a novel approach based on the LBP is proposed for face recognition under different illumination conditions. The proposed approach applies Difference of Gaussian (DoG) filter in the logarithm domain of face images. LBPs are extracted from the filtered images and used for recognition. A novel measurement is also proposed to calculate distances between different LBPs. The experimental results on the Yale B and Extended Yale B prove superior performances of the proposed method and measurement compared to other existing methods and measurements.

引用

页码：89 / 96

页数：8

共 9 条

[1] Face recognition: The problem of compensating for changes in illumination direction
Adini, Y
Moses, Y
Ullman, S
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) : 721 - 732
[2] Ahonen T, 2004, LECT NOTES COMPUT SC, V3021, P469
[3] Face description with local binary patterns:: Application to face recognition
Ahonen, Timo
Hadid, Abdenour
Pietikainen, Matti
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 28 (12) : 2037 - 2041
[4] Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain
Chen, Weilong
Er, Meng Joo
Wu, Shiqian
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2006, 36 (02): : 458 - 466
[5] From few to many: Illumination cone models for face recognition under variable lighting and pose
Georghiades, AS
Belhumeur, PN
Kriegman, DJ
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (06) : 643 - 660
[6] Jabid T., 2010, Digest of Technical Papers Int. Conf. Consumer Electronics, P329, DOI DOI 10.1109/ICCE.2010.5418801
[7] Acquiring linear subspaces for face recognition under variable lighting
Lee, KC
Ho, J
Kriegman, DJ
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (05) : 684 - 698
[8] Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
Tan, Xiaoyang
Triggs, Bill
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2010, 19 (06) : 1635 - 1650
[9] An efficient illumination normalization method for face recognition
Xie, XD
Lam, KM
[J]. PATTERN RECOGNITION LETTERS, 2006, 27 (06) : 609 - 617

← 1 →