In case you're not familiar with them, the basic idea is treating a image of a face as a very high dimensional vector, and then doing what amounts to PCA on a collection of them. I'm leaving off a few steps, but the resulting eigenvectors converted back into images helped me grasp what was going on in a much more intuitive fashion.
In case you're not familiar with them, the basic idea is treating a image of a face as a very high dimensional vector, and then doing what amounts to PCA on a collection of them. I'm leaving off a few steps, but the resulting eigenvectors converted back into images helped me grasp what was going on in a much more intuitive fashion.