"This document contains a tutorial on Matlab with a principal components analysis for a set of face images as the theme.
I wrote this tutorial while a graduate student in the Artificial Intelligence Laboratory of the Computer Science and Engineering Department at the University of California, San Diego.
What is PCA and the “Eigenface” Technique?
I won't go into it in detail here, but the idea is that face images can be economically represented by their projection onto a small number of basis images that are derived by finding the most significant eigenvectors of the pixelwise covariance matrix for a set of training images. A quick Google Search shows that a lot of people like to play with this technique. In my tutorial I simply show how to get some eigenfaces and play with them in MATLAB."
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