Researchers use 'bio-inspired' event cameras and AI to generate ultra-high-speed videos

Researchers with the University of Zurich (UZH) and ETH Zurich have detailed the development of a novel recurrent neural network that can reconstruct ultra-high-speed videos from data captured by event cameras. Unlike convention cameras, which capture data as individual image frames, event cameras are 'bio-inspired vision sensors' that continuously capture movements via pixel-level brightness changes. Event camera sensors perceive and record the world in a manner similar to how human vision work...