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Does anyone know how this can be technically achieved? Large scale face recognition with 1 photo per person in the training set?
I do it with only a single ocular image (eye, eyebrow, and surrounding skin texture) rather than the full face. Using 1:1 matching environments are common for NIST challenges.
If VR headsets like Oculus Rift take off, this problem can be mitigated. People will walk around with headsets to cover their entire face, defeating the cameras. Surveillance is going to happen, if you ban government surveillance, the public will get this tech and drones and be doing it anyway. So the robust way to fight it is to plan your life knowing that you can always be monitored and someone will always know whe…
Plus, unless you build the hardware entirely yourself, the headset won't save you from other tracking technologies. Presumably the headset will have a wireless chip whose MAC can be tracked, or, worse, it'll have an RFID chip specially-built for government tracking.
Does anyone know how this can be technically achieved? Large scale face recognition with 1 photo per person in the training set?
Why does it need to be a single photo? Mandate that when you get your passport/driving license theres a face scan. Wouldn't be amazing tech and could be introduced fairly easily.
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Yes, it exists, and I use it every day. In fact, I have a partnership with the DOD/NSA subcontractors who created it, and I have applied the technology to the automated creation of 3D Avatars given a single photo of a person's face. My version of the tech is available at www.3D-Avatar-Store.com. The system works as follows: a person's head is laser scanned, at the same time dozens of single photos are taken of that p…
What's the state of the art in terms of extending such systems to handle faces that are partially obscured (e.g. wearing glasses)? References to further resources in the area accepted and appreciated! I'm going to start work on a face recognition system soon and I'm keen to learn more about their current limitations.
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Except for the part where you're a person wearing a highly unusual outfit..
Which the machine won't recognise as a person (and will discard). It would take a human to track you but that's old school. Of course, that's only until gait recognition takes over from face recognition.
You'll stand out more to a human observer, but to a computer you'll be invisible.
Or you could just have really dark skin. That usually works just as well. (Example: http://www.gamespot.com/news/kinect-has-problems-recognizing...)
Does anyone know how this can be technically achieved? Large scale face recognition with 1 photo per person in the training set?
Yes, it exists, and I use it every day. In fact, I have a partnership with the DOD/NSA subcontractors who created it, and I have applied the technology to the automated creation of 3D Avatars given a single photo of a person's face. My version of the tech is available at www.3D-Avatar-Store.com. The system works as follows: a person's head is laser scanned, at the same time dozens of single photos are taken of that p…
BTW, all the best with your website. Hope you take more avatars "where go where no man has gone before!"
If VR headsets like Oculus Rift take off, this problem can be mitigated. People will walk around with headsets to cover their entire face, defeating the cameras. Surveillance is going to happen, if you ban government surveillance, the public will get this tech and drones and be doing it anyway. So the robust way to fight it is to plan your life knowing that you can always be monitored and someone will always know whe…
Earlier quoted context omitted.
Except for the part where you're a person wearing a highly unusual outfit..
Which the machine won't recognise as a person (and will discard). It would take a human to track you but that's old school. Of course, that's only until gait recognition takes over from face recognition.
> "While this sort of technology may have benefits for law enforcement (recall that the suspects in the Boston Marathon bombings were identified with help from camera footage), it also invites abuse." 1. Yes /without/ this technology, and 2. How would that have prevented the Boston tragedy if it were in use? What exactly does NYT mean here.
When they identified the first blurred images of the suspects' faces they put out the images hoping people could help identify the faces they were interested in. I assume they're saying that with better technology they'd be able to instantly identify those faces, instead of relying on putting them up on TV (where the suspects can see them and know they're on to them). So it wouldn't have prevented the attack, but it…
Earlier quoted context omitted.
I do it with only a single ocular image (eye, eyebrow, and surrounding skin texture) rather than the full face. Using 1:1 matching environments are common for NIST challenges.
Do you have any papers on your work? Would be great if you add a link to them.
http://www.cs.cmu.edu/~vboddeti/papers/ijcb_2011.pdf
I have two more in the pipe (one still awaiting acceptance, and the other is accepted but yet to be added to IEEEXplore)
