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.
Infrared photography allows humans to see things in the dark that they would not be able to see otherwise—it has become an important tool for both police work and those engaged in warfare.
Deep Perceptual Mapping for Thermal to Visible Face Recognition. arxiv.org/abs/1507.02879