摘要
针对海量无序点云数据中的复杂对象提取问题,利用三维可视化环境中的人机交互功能,划定对象分布范围以提取对象数据。采用三维平面视图直观表达点云中对象的位置及分布;借助三维交互技术,在平面视图中人工划分对象外包多边形;根据外包多边形从原始点云数据中提取对象点云,使用有效网格法进行化简。以4.1亿个数据点的场站点云为例进行应用,取得良好效果。
To extract complex objects from massive disordered point-cloud data,the distribution range of objects is delineated to extract data of the objects by human-computer interaction in three-dimensional visualization environment.Plane view in three-dimensional is used to express the location and distribution of objects in point-cloud visually.Outsourcing polygons dividing objects are made artificially in plane view by means of 3D interactive technology.Objects are extracted from original point-cloud data according to the outsourcing polygons,and it is simplified by the effectivegrid method.The method is well applied to extract objects from site point-cloud data with 410 millions points.
作者
傅敏
张江龙
刘培刚
FU Min;ZHANG Jianglong;LIU Peigang(Sinopec Petroleum Engineering Corporation,Dongying,Shandong 257000,China;College of Computer&Communication Engineering,China University of Petroleum,Qingdao,Shandong 266580,China)
出处
《计算机工程与应用》
CSCD
北大核心
2019年第24期265-270,共6页
Computer Engineering and Applications
基金
中国石油大学（华东）自主创新科研计划（No.18CX02020A）
中央高校基本科研业务费专项
关键词
无序点云
三维可视化
交互分割
有效网格法
disordered point-cloud
3D visulization
interactive segmentation
effective grid method
