Real-Time Video Painting for a Large-Scale Environment

With the rapid development of modeling and remote sensing technologies, it becomes increasingly more feasible to model a large-scale environment. However, the acquisition of static textures for such a large-scale environment is still a challenging task, often demanding tedious and time-consuming manual interactions. We present a system for real-time video painting, which not only acquires textures automatically from multiple images or video sequences, but also updates the texture data in real time to capture the most up-to-date imagery of the environment. Experiments presented in the paper show that we can create and update textures for a university-campus size environment in real time.