Not out of fear, but so that you the general person may be informed on what is really happening with this technology. Be sure to check out all the links and more will be posted on the home page at the top as well.
(CBS) - Remember last weekend, when you were at that party and friends were snapping photographs to post on Facebook? What if that seemingly innocent act could lead to identity theft or real-life stalking? Fear!
In a recent study done at Heinz College, Carnegie Mellon University (CMU) called "Faces of Facebook: Privacy in the Age of Augmented Reality," Alessandro Acquisti, Ralph Gross and Fred Stutzman reported on the "consequences and implications of the convergence of three technologies: face recognition, cloud computing, and online social networks."
Presented on Thursday at the Black Hat Technical Security Conference, the study argued that with current technology, we could be "re-identified" and have our social security numbers stolen. The three experiments discussed are eye-opening.
Facial recognition and re-identification
The first experiment took pictures from a popular dating site and cross referenced them with Facebook profile pictures. Dating site members typically maintain their anonymity by using pseudonyms. With the results of the experiment being "statistically significant," these people could easily be identified with the software.Thus their identities outed across both channels.
The second experiment was similar to the first, except this time, the researchers took real-life photos and used facial recognition software to re-identify students at a select college campus. They were able to identify one-third of the subjects in their experiment.
In their final experiment, the researchers used the phrase "augmented reality" to describe "the merging of online and offline data that new technologies make possible."
The study's goal was to show "that it is possible to start from an anonymous face in the street, and end up with very sensitive information about that person." The results were "made possible by the convergence of face recognition, social networks, data mining and cloud computing - that [is referred] to as augmented reality."
See more here. http://www.cbsnews.com/8301-501465_162-20088678-501465.html
The Dangers of Using High Tech Facial Recognition Software to Catch Criminalshttp://www.ghacks.net/2011/08/14/the-dangers-of-using-high-tech-facial-recognition-software-to-catch-criminals/
In the wake of rioting in London, England, the British police are turning to CCTV footage in an attempt to capture the ringleaders involved in the rioting and troublemaking. With the advances of high-tech facial recognition software used in airports to identify people at immigration, they say it should be possible to match up faces with know criminals and troublemakers. But will it be that easy?
There are attempts being used, albeit private sector attempts, to try and use this software and match people with that of criminal records and known photographs of perpetrators, but it’s not altogether that simple really, because in order to do facial recognition you already need a database of confirmed photos, with names attached to them. You can’t simply look at a photograph and work out who it is, and you must of course have something to compare the CCTV footage with.
The other issue is the quality of the photograph you’re trying to compare from. There is a huge difference between a photo of someone staring straight at a camera with a plain background, and another which is slightly misty and possibly from a significant distance away, plus the fact that many rioters in London wore masks to cover parts of their faces. It actually turns out to be very difficult indeed to match these kinds of photos, and as of yet the technology seen on sci-fi movies where you can enhance pictures to extraordinary degrees is not available. Unfortunately real life isn’t quite like that, so the dodgy quality CCTV footage the police have may not be entirely reliable and open to interpretation. Certainly in a court of law, a fuzzy picture may not stand up on it’s own without other evidence to support it, such as eyewitnesses. So if we have to rely on eyewitnesses to get a conviction, we’re really back to square one.
Again see more here. http://www.ghacks.net/2011/08/14/the-dangers-of-using-high-tech-facial-recognition-software-to-catch-criminals/
What is Facial Recognition?