Fast computation of PCA bases of image subspace using its inner-product subspace

Computation of Principal Component Analysis (PCA) basis for Image subspace requires more memory and takes comparatively more time for computation. In this paper a simple approach to obtain the PCA basis of the Image subspace using its inner-product space is proposed. Experimental results depicting t...

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Bibliographic Details
Published in:Applied mathematics and computation 2013-02, Vol.219 (12), p.6729-6732
Main Authors: Gopi, E.S., Palanisamy, P.
Format: Article
Language:English
Subjects:
Computation
Inner-product space
Mathematical models
PCA
Principal component analysis
Reduction
Subspaces
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Summary:Computation of Principal Component Analysis (PCA) basis for Image subspace requires more memory and takes comparatively more time for computation. In this paper a simple approach to obtain the PCA basis of the Image subspace using its inner-product space is proposed. Experimental results depicting the reduction of computation time using the proposed technique is reported.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2012.12.076