QuadTIN: quadtree based triangulated irregular networks

R. Pajarola, Marc Antonijuan, R. Lario
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引用次数: 95

Abstract

Interactive visualization of large digital elevation models is of continuing interest in scientific visualization, GIS, and virtual reality applications. Taking advantage of the regular structure of grid digital elevation models, efficient hierarchical multiresolution triangulation and adaptive level-of-detail (LOD) rendering algorithms have been developed for interactive terrain visualization. Despite the higher triangle count, these approaches generally outperform mesh simplification methods that produce irregular triangulated network (TIN) based LOD representations. In this project we combine the advantage of a TIN based mesh simplification preprocess with high-performance quadtree based LOD triangulation and rendering at run-time. This approach, called QuadTIN, generates an efficient quadtree triangulation hierarchy over any irregular point set that may originate from irregular terrain sampling or from reducing oversampling in high-resolution grid digital elevation models.
四叉树:基于四叉树的不规则三角网
大型数字高程模型的交互式可视化在科学可视化、GIS和虚拟现实应用中一直受到关注。利用网格数字高程模型的规则结构,开发了高效的分层多分辨率三角测量和自适应细节水平(LOD)绘制算法,用于交互式地形可视化。尽管三角形计数较高,但这些方法通常优于生成不规则三角网络(TIN)的基于LOD表示的网格简化方法。在这个项目中,我们将基于TIN的网格简化预处理的优势与基于高性能四叉树的LOD三角剖分和运行时渲染相结合。这种方法被称为QuadTIN,可以在任何不规则点集上生成有效的四叉树三角测量层次,这些点集可能来自不规则地形采样或高分辨率网格数字高程模型中的过采样。
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