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A couple years ago I worked on a product that added a feature to do, not exactly facial recognition, but "facial similarity" perhaps. Not any kind of bleeding-e
by juliangregorian 12y ago
A couple years ago I worked on a product that added a feature to do, not exactly facial recognition, but "facial similarity" perhaps. Not any kind of bleeding-edge research but just a helpful little value-add. The approach we took was exactly the kind of geometrical measuring of nodes that I believe you are referring to. It worked okay.
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?
- drpgq 12y agoI would look here: http://en.wikipedia.org/wiki/Eigenface 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.