顾及空间分布特征的点云数据快速可视化方法

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英文篇名：Rapid Visualizing of Point Clouds Considering Spatial Distribution Characteristics 作者：王金地 ; 霍亮 ; 慕旭 ; 秦高雅 ; 曹存相 英文作者：Wang Jindi;Huo Liang;Mu Xu;Qin Gaoya;Cao Cunxiang;School of Geomatics and Urban Spatial Information,Beijing University of Civil Engineering and Architecture;Key Laboratory of Modern Urban Surveying and Mapping;Beijing Advanced Innovation Center for Future Urban Design,Beijing University of Civil Engineering and Architecture; 关键词：影像匹配点云 ; 空间分布特征 ; 八叉树 ; 网络传输 ; 可视化 英文关键词：image matching point clouds;;spatial distribution characteristics;;octree;;network transmission;;visualization 中文刊名：KSCL 英文刊名：Mine Surveying 机构：北京建筑大学测绘与城市空间信息学院;现代城市测绘国家测绘地理信息局重点实验室;北京建筑大学北京未来城市设计高精尖创新中心; 出版日期：2019-02-15 出版单位：矿山测量 年：2019 期：v.47;No.199 基金：国家重点研发计划(2016YFC0803108);; 北京建筑大学未来城市设计高精尖创新中心重大项目(UDC2018031321) 语种：中文; 页：KSCL201901009 页数：5 CN：01 ISSN：13-1096/TD 分类号：38-42

摘要

文中提出了一种顾及空间分布特征的点云数据快速可视化方法。首先根据点云数据的空间分布特征构建自适应八叉树结构。其次,利用基于视点的动态调度算法,实现不同细节层次点云数据的快速调度。最后,设计了一种面向网络传输的三维点云瓦片存储模型,实现网络环境下点云数据的快速解析。试验结果表明,该方法能够有效提高网络环境下点云数据的可视化效率。
        A fast visualization method of point cloud data considering spatial distribution characteristics was proposed. The method first constructed an adaptive octree structure based on the spatial distribution characteristics of point cloud data. Secondly,the dynamic scheduling algorithm based on viewpoint was used to realize the fast scheduling of point cloud data with different levels of detail. Finally,3 D point cloud tile storage model for the network transmission was designed to realize the fast resolution of the point cloud data in the network environment. The experimental results showed that the proposed method could effectively improve the visualization efficiency of the point cloud data in the network environment.

引文

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