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Walking Through A Very Large Virtual Environment In Real-time

机译:实时地走过一个非常大的虚拟环境

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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 fit 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 (REal-time Virtual Environment Walkthrough) 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 effective for generating constant frame rate and improving the visual effects.
机译:当在虚拟环境(VE)中交互地导航时,用户期望高度和常量渲染帧速率。然而,当VE太大而无法适合主存储器时,帧速率可能变得不可接受。在本文中,我们结合了演练语义和数据库技术,如索引,缓存和预取,以提高一个非常大的演练的性能。我们实施了一个称为评论的原型演练系统(实时虚拟环境演练),并在生成的1 GB合成数据集中评估其性能以模拟大城市景观。我们的研究结果表明,该技术对于产生恒定帧速率并提高视觉效果是有效的。

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