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Terrain simplification simplified: a general framework for view-dependent out-of-core visualization

机译:简化地形简化:用于视图相关的核外可视化的通用框架

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We describe a general framework for out-of-core rendering and management of massive terrain surfaces. The two key components of this framework are: view-dependent refinement of the terrain mesh and a simple scheme for organizing the terrain data to improve coherence and reduce the number of paging events from external storage to main memory. Similar to several previously proposed methods for view-dependent refinement, we recursively subdivide a triangle mesh defined over regularly gridded data using longest-edge bisection. As part of this single, per-frame refinement pass, we perform triangle stripping, view frustum culling, and smooth blending of geometry using geomorphing. Meanwhile, our refinement framework supports a large class of error metrics, is highly competitive in terms of rendering performance, and is surprisingly simple to implement. Independent of our refinement algorithm, we also describe several data layout techniques for providing coherent access to the terrain data. By reordering the data in a manner that is more consistent with our recursive access pattern, we show that visualization of gigabyte-size data sets can be realized even on low-end, commodity PCs without the need for complicated and explicit data paging techniques. Rather, by virtue of dramatic improvements in multilevel cache coherence, we rely on the built-in paging mechanisms of the operating system to perform this task. The end result is a straightforward, simple-to-implement, pointerless indexing scheme that dramatically improves the data locality and paging performance over conventional matrix-based layouts.
机译:我们描述了用于大规模地形表面的核心外渲染和管理的通用框架。该框架的两个关键组件是:地形网格的视图相关性改进和用于组织地形数据以提高一致性并减少从外部存储器到主存储器的页面调度事件数量的简单方案。与先前提出的几种用于视图依赖的细化方法类似,我们使用最长边对分递归地细分在规则网格数据上定义的三角形网格。作为此单帧优化遍历的一部分,我们执行三角形剥离,查看视锥剔除和使用几何变形平滑混合几何。同时,我们的优化框架支持大量错误度量标准,在渲染性能方面具有很高的竞争力,并且易于实现。独立于我们的优化算法,我们还描述了用于提供对地形数据的连贯访问的几种数据布局技术。通过以与我们的递归访问模式更一致的方式对数据进行重新排序,我们表明,即使在低端的商用PC上也可以实现千兆字节大小的数据集的可视化,而无需复杂而显式的数据分页技术。相反,由于多级缓存一致性的显着改进,我们依靠操作系统的内置分页机制来执行此任务。最终结果是一种简单,易于实现的无指针索引方案,与传统的基于矩阵的布局相比,该方案显着改善了数据局部性和分页性能。

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