计算机应用与软件Issue(1)：222-224,245,4.DOI:10.3969/j.issn.1000-386x.2014.01.059
基于点云切片的边界提取
BOUNDARY EXTRACTION BASED ON POINT CLOUD SLICES
杨振清 1雍永磊2
作者信息
- 1. 南京工业大学电子与信息工程学院 江苏 南京211816
- 2. 中国电子科技集团第三十六研究所 浙江 嘉兴314003
- 折叠
摘要
Abstract
The section data of point cloud slices may has the case that the discontinuous feature curve cause the error in fitting.In light of this,we present a method,in which the discontinuous feature curve point set of each section data is divided into continuous feature curve point sets.In view of the Euclidean distances between the discontinuous feature curve point sets and between the points are far greater than the point cloud density,while the Euclidean distance between the points within a continuous feature curve point set approaches the point cloud density,so the point cloud density can be used as a threshold to segment different continuous feature curve point sets.Then the curve fitting is applied to every continuous feature curve points set,and the boundary of the point cloud slices is got.Analysis results show that,this segmentation algorithm can effectively segment the discontinuous feature curve point set in point cloud slices,reduce the error in curve fitting, and improve the extraction accuracy of point cloud slicing boundary.关键词
点云切片/曲线拟合/点云密度/边界提取Key words
Point cloud slices/Curve fitting/Point cloud density/Boundary extracting分类
信息技术与安全科学引用本文复制引用
杨振清,雍永磊..基于点云切片的边界提取[J].计算机应用与软件,2014,(1):222-224,245,4.
