基于web的大规模三维场景空间数据结构的改进

Jiaxi Chen, Wei Fang
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引用次数: 0

摘要

为了满足Web环境下大规模三维场景传输、解析和实时可视化的需求,本文提出了一种数据结构,它规定了三维空间数据的逻辑结构和物理存储格式,并能有效地对三维场景进行划分和索引。同时,在现有空间索引技术的基础上,提出了一种将R* O-tree与八叉树相结合的混合索引结构R* O-tree,以提高索引性能。实验结果表明,所提出的数据结构可节省约60% ~ 80%的磁盘空间,改进后的索引结构效率更高。该方法比传统的三维空间数据结构更有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Spatial Data Structure for Web-based Large-scale 3D Scene
In order to meet the requirements of large-scale 3D scene transmission, parsing and real-time visualization in the Web environment, a kind of data structure is proposed in this paper, which specifies the logical structure and physical storage format of the 3D spatial data, and can effectively divide and index the 3D scene. Meanwhile, based on the existing spatial index technology, we propose a hybrid index structure R* O-tree which combines the R* -tree and the octree to improve the performance. The experimental results show that the proposed data structure can save about 60%-80% disk space, and the improved index structure is more efficient. Our method is more advantageous than the traditional three-dimensional spatial data structure.
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