Computers Outperform Humans at Recognizing Faces
seven of five writes "According to the recent Face Recognition Grand Challenge, The match up of face-recognition algorithms showed that machine recognition of human individuals has improved tenfold since 2002 and a hundredfold since 1995. 'Among other advantages, 3-D facial recognition identifies individuals by exploiting distinctive features of a human face's surface--for instance, the curves of the eye sockets, nose, and chin, which are where tissue and bone are most apparent and which don't change over time. Furthermore, Phillips says, "changes in illumination have adversely affected face-recognition performance from still images. But the shape of a face isn't affected by changes in illumination." Hence, 3-D face recognition might even be used in near-dark conditions.'"
Who's this then :-)
Do not try to read the dupe, thats impossible. Instead, only try to realize the truth
What truth?
There is no dupe
It's really annoying how much of this research never gets turned into product.. or, worse yet, it gets embedded in some proprietary piece of shit hardware instead of being released as a reusable component. I'd love to add some good facial recognition to my pet robot, but I'm not buying your watt sucking camera.
How we know is more important than what we know.
I wonder whether these scientists lose any sleep over how their research advances will contribute to the future of our societies.
My tinfoil hat has a visor.
if(hot_gurl) {
RingBell();
}
-- www.globaltics.net
Political discussion for a new world
Best Windows Freeware
"for instance, the curves of the eye sockets, nose, and chin, which are where tissue and bone are most apparent and which don't change over time."
Geez.
How we know is more important than what we know.
How good are computers at recognizing a face after ten or twenty years?
Hopefully better than I am, otherwise they better be damn good at making generic bullshit small talk at family parties while sweating profusely and fishing for hints without letting on they have absolutely no idea who it is that just ambused them at the buffet table.
Actually, the opposite situation is just as bad. I have enough of a problem with my 'aunt's old room-mate' or equivilant telling me they "remeber me when I was just 'this' big" (given the amount of random old women that at some point 'changed my diaper' I have begun to wonder if my parents rented me out as a training aid), I do not need the computer hardware in my life pulling the same act!
Either way.... this will end badly.
A few years back (well, nearly a decade actually), I did my master's thesis in a lab that among other things did work on face recognition. The experts there assured me that perhaps in 50 years or so computers might be able to approach human face recognition capabilities. Apparently the development was far quicker than they could have imagined.
An interesting technical point is that in fact the algorithms haven't changed a lot since then - it's still mainly various adaptive systems such as neural networks and support vector machines. The really big breakthrough is in the data collection - in the sensors and scanners. What they couldn't imagine a decade ago was the type of accurate automatic 3d face modeling and measurements that can be done today. It's also how certain computing methods that were deemed unsuitable a few years ago are coming back big time (neural nets for instance). I guess the time wasn't ready for them the last time due to computing power and memory limitations (and of course sensors as in this case).
Right.
Recognition tasks are almost all inductive in nature, where performance on math is deductive. Human induction pretty well spanks machine induction at most of the things we take for granted - like recognizing and decoding faces, voices, speech, the sound of your walk, etc., etc., etc. The thing computers do least well is infer what bits of information are most important. We seem to excel at that.
Despite what the findings say, I stand by the faces thing. It sounds like the recognition algorithms got high-resolution 3D scans of human faces as input. Wake me when they can do as well as a human with low-resolution 2D scans.
That being said, it's great to see progress in this area. I can't wait until someone has to lop off my head and carry it with them in a plastic bag in order to break into my workplace. It's more grisly than taking a thumb, but much less likely to happen... I think...
I got my Linux laptop at System76.
I'll be impressed when they can recognize caricatures as well as humans.