New software trained on photographic database may allow facial recognition beneath the mask

During the COVID-19 pandemic, facemasks became almost ubiquitous and still are in some environments. There is a need for face recognition to be able to “see behind the mask” for security and safety. Research published in the International Journal of Computational Vision and Robotics discusses the potential of new software that might be trained on a large database of photographs of individuals in different poses and holding different facial expressions, where a simulated mask has been superimposed on the image, to allow facial recognition to work despite the mask you Read More