7 ms·
Anyone know this technology well enough to know if sunglasses and a scarf of some sort would prevent my being recognized if not making me look somewhat silly or
by wellpast 10y ago
Anyone know this technology well enough to know if sunglasses and a scarf of some sort would prevent my being recognized if not making me look somewhat silly or suspicious.
- hacker_9 10y agoYou may be interested in the movement against facial recognition [1]. [1] https://cvdazzle.com/ https://cvdazzle.com/
- mrtksn 10y agoMy iPhone camera face detection was able to detect some of the camouflaged examples instantly.
- confounded 10y agoWorth making the distinction between a human face in general, and the face of a specific human.
- moonshinefe 10y agoThe irony here is that if you look like the people in the photos, i.e. a 80-90s era post-modernist hipster in the year 2017, you'll probably draw far more attention to yourself than you would otherwise.
- OJFord 10y ago> Anyone know ... if sunglasses and a scarf of some sort would prevent my being recognized Not really, it's a classic example (at least, one I've seen several times) to show recognition even when obscured. That said, I just searched for an example, and found this paper [0] claiming highly effective tortoiseshell glasses to block recognition or deceive to be another. Though it certainly doesn't satisfy your other requirement of: > not making me look somewhat silly [0] - https://www.cs.cmu.edu/~sbhagava/papers/face-rec-ccs16.pdf https://www.cs.cmu.edu/~sbhagava/papers/face-rec-ccs16.pdf
- drvdevd 10y agoThis doesn't really answer your question directly but I find a fun exercise is to take a picture of a face and modify it (clip it, skew, morph, rotate, repeat, etc), and then see at which point Facebook will cease to recognize a face in the image (and then perhaps your face specifically), while you still do. The real point is that: I believe there are some images in the search space that any recognition algorithm will not see a face in, but which your brain will and vice versa.
- dTal 10y agoAny recognition algorithm? How does your brain do it then, magic?
- dsfyu404ed 10y agoIf all you want to do is prevent the credit bureaus from knowing you hang around with poor people then massive mirrored aviators, a ball cap and the kind of beard that would make Osama jealous are your best bet. Facial recognition works primarily on mapping the distances between key features, kind of like a bitmask. The more features you have the longer the bitmask and the fewer matches. It's not about being "un-matchable" it's about having so few data points you match with enough people that whoever's deciding what "good enough" is for the application has set the bar above how ever good your match is. For something like sending advertising the bar is super low, who cares if you send out some extra spam the cost of doing so is low. The advertisers don't care if they can't precisely target the mystery man because gaining or losing one lead isn't important when you have thousands. They'll either just not send anything or send something to every possible match. For something like insurance and credit the bar is higher because if you get the risk wrong then you lose profit margin or the ability to price competitively. This is the one area where the mystery man can win. The people selling data to the creditors can't just set the "hangs out with poor people" bool to true for each big group of people that is a partial match with a mystery person. That approach doesn't scale. For something like IDing the guy who got a good look at the guy who placed the suitcase that had the bomb the bar is low because while the cost of interviewing a bunch of people is high the available resources are high. If you want to stay under the radar of the analytics companies then license plate scanning should worry you a lot more than facial recognition (in the US at least).
- thatwebdude 10y ago>>If you want to stay under the radar of the analytics companies then license plate scanning should worry you a lot more than facial recognition (in the US at least). Can you elaborate on this?