I need some face similarity metric. I know about PCA,LDA approaches that uses raw pixels data, but they are not scale invariant(I know that I can resize image but I think that's not good solution). Maybe I need to use AAM,ASM aproaches? But I'm interested in metric that gives me the greatest separability of faces. At first I don't need automatic detection of metric features, for example imagine that I can mark all faces by hand.


Haven't used them first hand but I'm pretty sure that [SIFT] "Scale Invariant Feature Transform" is scale invariant. And I know that they are used, with great success, in face recognition.

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  • $\begingroup$ can you provide example where it used in face detection/recognition task? for example if you try here ipol.im/pub/demo/my_affine_sift to upload 2 faces, it gives no good output. $\endgroup$ – mrgloom Aug 15 '12 at 7:03
  • $\begingroup$ as I said in the answer, I have never used it, but I know our teacher talked about it in a image recognition course. When I googled on it, it seemed to a couple of versions of the used for example FSIFT. Google is your friend, I only pointed in the right direction. $\endgroup$ – SlimJim Aug 15 '12 at 17:57

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