摘要
逆向工程中在对实体扫描时,由于测量过程受到人为或环境等因素的影响,会引入离群点,即离主体点云较远的小片点云和离散点。离群点的存在,会影响后续的建模质量,所以必须除去这些离群点。因此提出了两种删除离群点的算法,一种是自动删除离群点的算法,另一种是OpenGL框选拾取算法。通过实验证明这两种算法均能有效地删除离群点。
Scanning the entity in reserve engineering, some outliets can be imported into the reql point cloud, which caused by human and environment factors. The outliers include scrap point cloud and single point which are far from the main body point cloud. The outliers can affect the quality of reconstruction of model, which should he deleted. According to that, two algorithms of outliers deletion are given, one algorithm is that deleting the outliers automatically, the other one is that deleting the outliers by OpenGL. Experiments show the efficient deletion by two algorithms.
出处
《装备制造技术》
2008年第7期13-15,共3页
Equipment Manufacturing Technology
关键词
逆向工程
离群点
点云
reserve engineering
outliers
point cloud
