Facial recognition system image by analyzing multiple facial regions and details. It consists of a non-linear regression model that maps a specific thermal image into a corresponding visible facial image and an optimization issue that projects the latent projection back into the image space. ARL scientists have noted that the approach works by combining global information (i.e. features across the entire face) with local information (i.e. features regarding the eyes, nose, and mouth). In addition to enhancing the discriminability of the synthesized image, the facial recognition system can be used to transform a thermal face signature into a refined visible image of a
Facial composite called "Identikit", was introduced in the U.S. in 1959; it used drawings of facial features on transparent acetate sheets that could be superimposed on one another to produce the composite image. (A later version of Identikit is made by Smith & Wesson.) In 1970, a system called "Photofit", which aimed for greater realism by using actual photographs of facial features, was introduced in the U.K. In the last two decades, a number of computer based facial composite systems have been introduced; amongst the most widely used systems are SketchCop FACETTE Face Design System Software, "Identi-Kit 2000", FACES, E-FIT and PortraitPad.