Generating and updating textures for a large-scale environment

With the rapid development of sensor and modeling technologies, it becomes increasingly feasible to model a large-scale environment. However, the acquisition and updating of textures for such a large-scale environment is still a challenging task, often demanding tedious and time-consuming manual interactions. This paper presents new techniques to generate high quality textures for given rough urban building models by automatic camera calibration and pose recovery, and to continuously update these textures in real time using videos as a texture resource. A number of static textures are generated for a university campus size model, and these textures are dynamically updated using videos in real time, which demonstrate the effectiveness of our algorithms.