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Making The World Safe For Science - One Supermodel At A Time

 

 

 

 

Face Recognition, Emotions And Why I Will Be The Next Jackie Chan

Dynamic face recognition may be one of the last frontiers for quantifying why some of our simplest brain functions have difficulty being matched by computers.

As a kid, when computers were more basic, it was easy to see the differences between my brain and the power of a computer. When I played baseball I knew the instant the ball was hit whether I had to run back or forward. This was a spectacular amount of mathematics done in an instant with the only programming being my amount of practice. A computer has to be able to define a parabola before it can tell me which way to run - by the time it could tell me where to run, the ball will have landed. The only reason I bothered to show up for trigonometry was to figure out a methodology that could help me write a computer program to catch a baseball without having the computer know where the ball was going to be hit in advance.

Facial recognition today faces similar obstacles. If you look at your favorite scientist's irritated face while his supermodel storms out because he did not tell her she was beautiful for the requisite hundredth time that day, it looks a certain way. If he then looks happy because he finally got some peace and quiet, it looks another way. To you, it is easily the same person but a computer has a very difficult time with that operation.

A three-year old child can look at a real chicken and then a cartoon chicken and say, "That's a chicken." A computer has a very difficult time with that also. Snd good luck getting a computer to tell you who is more attractive, that girl from "Veronica Mars" or the live action model of Lara Craft, Tomb Raider:

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