Recently-released documents show that the FBI has been working since late 2011 with four states—Michigan, Hawaii, Maryland, and possibly Oregon—to ramp up the Next Generation Identification (NGI) Facial Recognition Program. When the program is fully deployed in 2014, the FBI expects its facial recognition database will contain at least 12 million “searchable frontal photos.” According to New Scientist, this program will cost $1 billion.
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. The most difficult faces to match are those in low light. Merging photos from visible and infrared spectra can sharpen these images, but infrared cameras are still very expensive.
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