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

摘要

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.