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 :
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