Korean grad students are developing an Environmental Modeling Scanner that takes an interesting approach to detailed scanning of complex and crowded environments. Their hardware/software capture volumetric architectural and décor details and, in post-processing, extract people and any other moving or unwanted elements from the model. The approach creates a model by scanning an environment, the result of which can be combined with other capture sessions. They are demonstrating their solution at the NAB Show’s VR Zone in the North Hall of the Las Vegas Convention Center. Continue reading Researchers Demo Environmental Modeling Scanner at NAB