Information that is collected will be utilized, and in ways that we didn’t necessarily anticipate. Carnegie Mellon researchers have shown how social network photos can be repurposed into identity recognition materials. From Techsac;
“A Carnegie Mellon University researcher today described how he built a database of nearly 25,000 photographs expropriated from students’ Facebook profiles. Then he set up a desk in one of the campus buildings and asked few volunteers to peep into Webcams.
The results: face recognition software put a name to the face of 31 percent of the students after, on come, lower than trey seconds of rapid-fire comparisons.
In a few years, ‘facial visual searches may be as popular as today’s text-based searches,’ says Alessandro Acquisti, who presented his development in cooperation with Ralph Receipts and Fred Stutzman at the Black Hat computer conference.
As a check of idea, the Carnegie Mellon researchers also formed an iPhone app that can position a exposure of someone, piping it through facial recognition software, and then exhibit on-screen that person’s canvas and essential statistics.’
Tags: Alessandro Acquisti