DocumentCode
459015
Title
Illumination Variation in Images in Independent Component Analysis and Principal Component Analysis Subspaces
Author
Zheng, Zhen ; Zhang, Yanxin
Author_Institution
Inst. of Modern Opt., Nankai Univ., Tianjin
Volume
2
fYear
2006
fDate
16-18 Oct. 2006
Firstpage
724
Lastpage
729
Abstract
We have investigated the illumination variation in the images taken under a wide variety of lighting conditions in independent component analysis (ICA) and principal component analysis (PCA) subspaces. In ICA subspace, an independent component (IC) is proved to be the composite factor of illumination variation. In PCA subspace, almost all the principal components (PC´s) are proved to contain illumination variation, and a 15-D and 50-D in PCA subspace have more than 5% and 2% related deviation of illumination variation in images, respectively
Keywords
image processing; independent component analysis; principal component analysis; image illumination variation; independent component analysis; principal component analysis; Data compression; Face recognition; Feature extraction; Image reconstruction; Independent component analysis; Jacobian matrices; Lighting; Optical devices; Principal component analysis; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location
Jinan
Print_ISBN
0-7695-2528-8
Type
conf
DOI
10.1109/ISDA.2006.253701
Filename
4021753
Link To Document