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Walking Through A Very Large Virtual Environment In Real-time

机译:实时穿越非常大的虚拟环境

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摘要

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:用户在虚拟环境(VE)中进行交互式导航时,期望高且恒定的渲染帧速率。但是,当VE太大而无法放入主存储器时,帧速率可能变得无法接受。在本文中,我们结合了演练语义和数据库技术(例如索引,缓存和预取),以提高超大型VE演练的性能。我们实施了一个名为REVIEW(实时虚拟环境漫游)的原型漫游系统,并在为模拟大型城市景观而生成的1 GB合成数据集上评估了其性能。我们的结果表明,所提出的技术可有效地产生恒定的帧频并改善视觉效果。

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