General Misc > Robot Videos

Facial Recognition (Lecture)

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Cognaut:
You and I are on the same page with most of this stuff.  In the end, our models will be very similar.  I've documented my development, so you can be sure that I'm not copying.  hehe.

Maybe we should just collaborate - then again, could be stand it?  hehe.

Admin:
if you guys can do that (the 3D vector files), i want in  ;)
i see a lot of money in this . . .

JonHylands:
Never mind 3D vector, I'd be happy with 2D vector from a camera image. It easy to do, but hard to do fast...

- Jon

JonHylands:
I watched the lecture last night, and it was very interesting. What I got out of this lecture is that face recognition is a vector process, having mainly to do with with specific relative proportions combined with color blob analysis (shape and color of hair).

- Jon

hgordon:
Thanks for flagging this - his method of rank ordering the attribute ratios (hair area / face area, head width / eye spacing, head width / mouth width, etc) makes a lot of sense.  It seems like you could feed the ratios into a self-organizing map or neural network with pretty good results.

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