摘要
基于三维激光扫描点云数据的空间实体三维建模是当前的研究热点.传统的三维建模算法均将扫描点视为固定框架点,在点位不动的条件下完成空间实体的建模.随着现代测量技术的快速发展,测量精度越来越高,甚至出现了精度过剩的现象,而实际的空间分析精度又普遍低于测绘成果,围绕这一特点,针对总体上呈轴向分布的三维激光扫描点云数据,提出了一种新的三维建模算法,在不影响视觉效果和空间分析精度的前提条件下,该算法将扫描点沿着轴线方向在一定的范围内进行移动,并以扫描点移动后的点位进行空间实体建模.该算法具有一定的创新性,同时实验证明了该算法的正确性和可行性.
3D modeling of spatial entity based on the 3D laser scanning point cloud data has been the hot area of research. Traditional algorithm of 3D modeling regards scanning point as fixed frame points to realize the spatial entity modeling under the condition of the unchanged positions of the points. With the rapid development of modern measurement technology, measurement is becoming increasingly accurate, and is even excessively accurate, but in general the actual spatial analysis is not as accurate as surveying and mapping results. Taking this into consideration, aiming at the 3D laser scanning point cloud data that is generally with axial distribution, the au- thors propose a new 3D modeling algorithm, which moves the scanned points in a certain range along the axis and establishes spatial entity modeling by using the point positions without affecting the visual effect and spatial analysis accuracy. This algorithm is innovative and has been proved to be correct and feasible.
出处
《昆明理工大学学报（自然科学版）》
CAS
2017年第6期37-43,共7页
Journal of Kunming University of Science and Technology(Natural Science)
基金
国家自然科学基金项目(41161071)
关键词
三维建模
三维激光扫描
点云数据
空间分析
测量精度
3D modeling, 3D laser scan, point cloud data, spatial analysis, measurement accuracy
