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LOD Simplification and Error Analysis of the Large-scale Battlefield Space Mesh Points Based on Average Curvature Algorithm

机译:基于平均曲率算法的大型战场空间网格点LOD简化与误差分析

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When mapping large-scale battlefield terrain, in order to make a real-time show it on the computer it is required to keep the vector data (points, lines, areas) at the ' high curvature and delete the vector data at the low curvature as much as possible. This article puts forward a simplified algorithm to calculate the average curvature of the space mesh points with level of detail (LOD) model technique as well as the visualization implementation of this algorithm. Then according to this algorithm, work out the curvature value of the mesh points, delete the center points of the low curvature and triangularize the cavity left so as to simplify LOD model and reduce dramatically the number of the vector data (points, lines, areas) in the field of view of the large-scale battlefield terrain. Experiments show the average curvature algorithm put forward in this article can better solve the contradiction between the big vector data and the limited real-time processing capacity of the computer. As a result, it can meet the requirements of mapping great number of real-time data of the large-scale battlefield terrain by 3 D visualization. (Abstract)
机译:在映射大规模的战场地形时,为了实时在计算机上显示它,需要将“高曲率高,线,区域”保持在“高曲率”上,并在低曲率下删除矢量数据越多越好。本文提出了一种简化的算法来计算具有细节水平(LOD)模型技术的空间网格点的平均曲率,以及该算法的可视化实现。然后根据该算法,计算网格点的曲率值,删除低曲率的中心点,并将腔体三角化,以便简化LOD模型并大大减少矢量数据的数量(点,线,区域)在大规模战场地形的视野中。实验表明,本文提出的平均曲率算法可以更好地解决大量的大矢量数据与计算机的有限实时处理能力之间的矛盾。因此,它可以满足大量战场地形的大量实时数据的要求3d可视化。 (抽象的)

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