机构地区: 大连理工大学机械工程学院
出 处: 《机械科学与技术》 2002年第6期1025-1027,共3页
摘 要: 针对线扫描型数据特点 ,提出了点云数据中特征点的提取与组织方法 ,从而有效地对点云数据实行分块处理。在此基础上 ,完成了基于特征的曲面网格自适应构造 ,实现了大规模点云的精确数据压缩。实际算例结果表明了方法的可行性 ,对数字化仿形测量数据、坐标测量机截面扫描数据。 Considering the characteristic of point cloud from sectional measurement, a method of extracting and arranging disconnected point from cloud data is presented. Thus, point cloud can be easily segmented into several subregions. Then a feature based polyhedral model is reconstructed adaptively, so a large scale precise data reduction, under allowable error, is also realized at the same time. The computing results show that the method is feasible and very suitable for the sectional data by CMM and Laser digitizer etc.
领 域: [自动化与计算机技术] [自动化与计算机技术]