Walking Through a Very Large Virtual Environment in Real-time
Lidan Shou, Jason Chionh, Zhiyong Huang, Yixin Ruan, Kian‐Lee Tan · 2001
Users expect high and constant rendering frame rates when they interactively navigate in a Virtual Environment (VE). However, when the VE is too large to t into the main memory, the frame rates can become unacceptable. In this paper, we combine walkthrough semantics and database techniques, such as indexing, caching and prefetching, to improve the performance of walkthrough of a very large VE. We implemented a prototype walkthrough system called REVIEW (REaltime VIrtual EnvironmentWalkthrough) and evaluated its performance on a 1 GB synthetic data-set generated to simulate a large cityscape. Our results show that the proposed techniques are eective for generating constant frame rate and improving the visual eects. 1