Real-time rendering of large scale scenes based on multiresolutional strip models

In the paper, a real-time rendering method based on continuous level of detail models is proposed for large scale scenes. First, each object included in the scene is converted into a triangle strip model, and simplified using edge collapse algorithm. Then, a GPU-oriented data structure is applied to store the information of the simplification. The structure also takes advantage of temporal coherence when the viewing position moves gradually. Using this structure, the LOD model for each object according to the current view can be extracted efficiently with a little communication between the CPU and the GPU, so that a high frame rate can be achieved. In addition, an octree-based culling algorithm is used to clip the objects that are outside of the current viewing frustum for further acceleration on rendering.