中国机械工程Issue(16)：2204-2212,9.DOI:10.3969/j.issn.1004-132X.2014.16.013
一种曲面特征保持的航空叶片点云精简方法
A Surface Feature-Preserving Point Cloud Simplification Method for Aviation Blades
摘要
Abstract
A novel point cloud simplification method was proposed to avoid insufficient sampling in aviation thin-walled blades’edge regions with high curvature feature and sparse regions with fewer points based on re-clustering strategy.To establish the geometric deviation between the original and simplified point cloud,point-surface distance function was defined to distinguish curvature information based on moving least-square method.The distance function was used to re-cluster the regions with high curvature feature to realize adaptive feature-preserving process.Moreover,the regions with sparse points was distinguished and subdivided to ensure sufficient points in sparse regions.Comparing with uniform sampling method and hierarchical clustering method,the method presented above has higher geometric precision for point-sampled blade surfaces or other complex surface point cloud,such as fan disk.关键词
航空叶片/点云精简/特征保持/重聚类Key words
aviation blade/point cloud simplification/feature-preserving/re-clustering分类
信息技术与安全科学引用本文复制引用
李启东,李文龙,周莉萍..一种曲面特征保持的航空叶片点云精简方法[J].中国机械工程,2014,(16):2204-2212,9.基金项目
国家自然科学基金资助项目(51105155,51275192) （51105155,51275192）
