Once upon a time, celebrities could just pop on a pair of large sunglasses and melt away, unnoticed, into the crowds. But things are harder these days with sophisticated cameras and software that can literally identify strangers on the street. Even everyday smartphones may soon be able to ID people. But Adam Harvey, a designer and technologist with NYU's Interactive Telecommunications Program has figured out a way to fly under the radar by reverse engineering the algorithms in software that is used for face recognition. For any face to be detected, PopSci reports, the algorithm must match a cascade or series of features in the expected locations. By strategically camouflaging a particular feature, like the eyes, Harvey found a way to fool the software. In order not to be picked up the cameras, stealth-obsessed operatives would need to apply camo-style makeup right underneath or over the eyes. They could choose ...
Bizarre Makeup Patterns Can Fool Face Recognition Software
Discover face recognition camouflage techniques that help stealth-obsessed operatives blend into crowds, using innovative makeup methods.
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