REAL-TIME AND INTERACTIVE BROWSING OF MASSIVE MESH MODELS
Xian Wu, Yan Huang
School of Computer Science and Technology, Shandong University, Jinan, China
We present an efficient method for out-of-core construction and real-time interaction of massive mesh models. Our method uses face clustering on an octree grid to simplify and build a Level-of-Detail (LOD) tree for the model. Each octree node leads to a local LOD tree. All the top layers of the local LOD trees are combined together to make the basis of the global LOD tree. At runtime, the LOD tree is traversed top down to choose appropriate local LOD trees given the current viewpoint parameters. The system performance can be dramatically improved by using hierarchical culling techniques such as view-frustum culling and back-face culling. The efficiency and scalability of the approach is demonstrated with extensive experiments of massive models on current personal computer platforms.