Slashdot stories can be listened to in audio form via an RSS feed, as read by our own robotic overlord.

 



Forgot your password?
typodupeerror

Slashdot videos: Now with more Slashdot!

  • View

  • Discuss

  • Share

We've improved Slashdot's video section; now you can view our video interviews, product close-ups and site visits with all the usual Slashdot options to comment, share, etc. No more walled garden! It's a work in progress -- we hope you'll check it out (Learn more about the recent updates).

×

+ - Facebook's DeepFace Project Nears Human Accuracy In Identifying Faces

Submitted by kc123
kc123 (3513107) writes "Facebook has reached a major milestone in computer vision and pattern recognition, with ‘DeepFace,’ an algorithm capable of identifying a face in a crowd with 97.25 percent accuracy, which is pretty much on par with how good the average human is (97.5 percent accurate) at recognizing the faces of other walking, talking meat sacks. To get past the limitations of ordinary facial matching software, Facebook’s researchers have managed to find a way to build 3D models of faces from a photo, which can then be rotated to provide matching of the same face captured at different angles. In the past, facial recognition via computer could be pretty easily foiled if a subject is simply tilting their head in a slightly different direction."
This discussion was created for logged-in users only, but now has been archived. No new comments can be posted.

Facebook's DeepFace Project Nears Human Accuracy In Identifying Faces

Comments Filter:

Top Ten Things Overheard At The ANSI C Draft Committee Meetings: (10) Sorry, but that's too useful.

Working...