摘要
对提取点云数据的边界线、主要线和截面线等特征线进行了研究,提出了基于边特征线的点云数据区域分割技术,研究了特征识别、基于特征建立数据分块间的约束关系,实现了将测量数据分块,根据边界特征拟合曲面,进而完成复杂曲面的建模。最后以摩托车前面板的整个逆向过程为例,阐述基于边特征线曲面构造技术的应用,并凸现出了其在边界特征点云提取,特征线的提取以及在复杂曲面拟合方面的优势,很好地解决了复杂型面间的拟合重构问题。
The research on how to get border line, feature line and section line from point cloud data was done and a new segmentation method based on feature line was put forward. At first, the research on feature recognition, interrelationships was conduced by applying this method. The point cloud data into corresponding segments was subdivided secondly. At last the surface based on range data was constructed and complex surface reconstruction was finished. The method was used on a motorcycle front cover panel reconstruction. It has advantage in point cloud data segmentation, feature line pickup, complex surface reconstruction and has resolved the problem of complicated surface fitting.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2008年第6期179-183,共5页
Transactions of the Chinese Society for Agricultural Machinery
基金
新世纪优秀人才支持计划资助项目(项目编号:NCET-05-0766)
重庆市教委科学技术研究资助项目(项目编号:KJ070818)
关键词
复杂曲面
重构
边界线
覆盖件
Complex surface, Reconstruction, Border curve, Cover panel
