I would look here:
http://en.wikipedia.org/wiki/Eigenface
The technology has advanced far beyond that, but that was the start where automatic face recognition first became realistically possible.
The technology has advanced far beyond that, but that was the start where automatic face recognition first became realistically possible.
Principal Component Analysis looks interesting, but I'm struggling to understand how 2D pixel data would be transformed into the appropriate covariance matrix. Any insight on the missing link you could offer?