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US Intelligence Wants To Radically Advance Facial Recognition Software
coondoggie writes "Identifying people from video streams or boatloads of images can be a daunting task for humans and computers. But a 4-year development program set to start in April 2014 known as Janus aims to develop software and algorithms that erase those problems and could radically alter the facial recognition world as we know it. Funded by the Office of the Director of National Intelligence's 'high-risk, high-payoff research' group, Intelligence Advanced Research Projects Activity (IARPA) Janus 'seeks to improve face recognition performance using representations developed from real-world video and images instead of from calibrated and constrained collections.'"
Get Poser, or something similar, and start replacing the face picks of all your contacts with pics of poser models asses selected for a best match to the contact's ass. Remember to find an appropriate image for companies and agencies. I'm thinking a Hydra would be appropriate for the NSA, Medusa for the FBI, Mantis for the CIA, etc.
Bonus points for doing r/g stereo of the images, or 3d if the phone supports that directly.
You never know...
Every picture on Facebook is scanned by Interpol by facial recognition software. Yes even the guy in the background that didn't know you took the picture. Interpol you say? Yep, that's why this whole fake outrage over the NSA is all bunk. They all work together, and have been for decades, spying on each other then sharing the information to bypass privacy laws in each country.
Absolutely true. Even when they are 'accurate' they are of limited usefulness.
Assume that it's 99.9% accurate for a given success rate (wildly optimistic) That is for every 1000 faces you show it 1 is incorrectly flagged as matching.
Suppose that you have a list of 100 people you are 'interested' in. If the system is in an airport with 200,000 people per day - you are going to get 20,000 incorrect matches a day.
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In the academic world it is perfectly acceptable to use carefully selected or crafted inputs (facial images in this case) to develop and evaluate your algorithms. You may have separate date sets for development and evaluation, however careful selection or crafting is OK to simplify the project and avoid issues/variables outside of the project's scope.
As a CompSci academic, I am consistently shocked by the fact that we don't really consider the ethics our research. Some of the research, like the folks that are still interested in Chess playing algorithms, is pretty benign. Other research, like facial recognition, data mining, etc.... not so much. Case and point, there's a great Ted Talk by a researcher from Carnegie Mellon in which he demos an iPhone app (paired with some server-side software) his team wrote for using facial recognition to predict social security numbers in seconds. For those with experience on the academic side, how often have you or your colleagues stopped to consider that your research may be used unethically? Unless you're working in security, I suspect that it's probably infrequently despite the fact that advances in just about every major CS research area could be misused.
To be fair, I don't really know what to do about this problem. Someone is going to do the research. If it isn't me, or you, it'll be someone working in a government research facility... perhaps working for a government that isn't so friendly. All I suppose I'm really saying is that we really need to start thinking about the fact that there's a digital arms race going on... and we're the ones making the weapons.
It'd be nice if we could have advice from some of the researchers from the dawn of the last arms race, like Oppenheimer. This time, the race isn't about becoming omnipotent, it's about becoming omniscient.