DocumentCode
571582
Title
Illumination Normalization Based on Local Binary Pattern Image
Author
Cheng, Yu ; Jin, Zhigang ; Hao, Cunming
Author_Institution
Tianjin Univ., Tianjin, China
Volume
1
fYear
2012
fDate
26-27 Aug. 2012
Firstpage
94
Lastpage
97
Abstract
This paper presents a novel and efficient illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.
Keywords
face recognition; lighting; visual databases; LBPI; Yale face database; face recognition; illumination normalization method; local binary pattern image; varying illumination condition; Databases; Discrete cosine transforms; Face; Face recognition; Histograms; Lighting; Principal component analysis; Local Binary Pattern; Local Binary Pattern Image; face recognition; illumination normalization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location
Nanchang, Jiangxi
Print_ISBN
978-1-4673-1902-7
Type
conf
DOI
10.1109/IHMSC.2012.29
Filename
6305633
Link To Document