Is two-dimensional PCA equivalent to a special case of modular PCA?

Authors:
Quan-xue Gao
Affiliations:
School of Telecommunications Engineering, Xi dian University, Xi'an Shannxi 710071, China
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

In this note, we point out that 2D-PCA is not a special case of MPCA. 2D-PCA views the rows of images as training samples that constitute m sub-training sets instead of original images, where m is equivalent to the row of images. It then uses these sub-training sets to evaluate the covariance matrix for images. Finally, the main difference between these two methods is shown.