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As much as I want to crack jokes about the FBI spending a billion dollars on this "Next Generation Identification program, this doesn't really seem like a laughing matter.
Tests in 2010 showed that the best algorithms can
pick someone out in a pool of 1.6 million mugshots 92 per cent of the
time. It's possible to match a mugshot to a photo of a person who isn't
looking at the camera too. Algorithms such as one developed by Marios
Savvides's lab at Carnegie Mellon can analyse features of a front and
side view set of mugshots, create a 3D model of the face, rotate it as
much as 70 degrees to match the angle of the face in the photo, and then
match the new 2D image with a fairly high degree of accuracy.