Facial recognition in the dark By Matt Leonard Apr 20, 2018 Facial recognition generally requires well-lit photos to make a match, but warfighters often need to identify individuals from images taken by thermal cameras in low-light or nighttime conditions. With the help of artificial intelligence, Scientists with the Army Research Lab have developed a way to enhance images from night-vision cameras so that they can be matched to conventional images in existing biometric face databases or watch lists. The approach creates a visible facial image that has been synthesized from multiple regions of a thermal image. By combining features from the across the entire face with those of specific regions -- like the eyes, nose and mouth – the researchers were able to synthesize a refined visible image that could be run against a face database Making a match between the visible and thermal image types required training a neural network to learn when the features from the two types of...
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