Deep neural network can match infrared facial images to those taken naturally

A pair of researchers affiliated with Karlsruhe Institute of Technology and the Institute of Anthropomatics & Robotics has created a deep neural network application that is able to successfully match faces recorded using infrared light with those taken using natural lighting. M. Saquib Sarfraz and Rainer Stiefelhagen have written a paper describing their research and findings and have posted it on the preprint server arXiv.

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