摘要
针对由激光三维扫描设备获取的点云数据及其后续RPM操作,提出基于栅带的自由曲面点云自适应分层方法。以栅带为基元,将点云投影栅带化,从中获取特征点集,结合相邻栅带距离最小值点找寻构建层间轮廓。定义投影点云栅带面积比为表面误差,建立其与堆层厚度的关系,通过表面误差逼近定值最终确定堆层厚度。经实例验证,此方法得到的分层模型充分满足RPM的要求。
A new method of adaptive slicing to point cloud Based on Bar was presented, it is used in handling point cloud data gleaned by laser scanner equipment and succeeding RPM. Take bar as element, all points of layer was projected into some bars, get characteristic points muster from it, draw contour from this layer by the searching of points of the shortest distance in neighboring bars. Define point cloud projection bar area ratio as surface error, establish the relation between pile layer thickness and it, determine pile layer thickneSs eventually by surface error approach to worth surely. Finally, the experimental results show that the algorithm is effective and satisfies RPM requirement fully.
出处
《机械设计与制造》
北大核心
2007年第2期66-68,共3页
Machinery Design & Manufacture
基金
西门子(中国)自动化与驱动集团资助
关键词
点云
自适应分层
栅带
表面误差
Point cloud
Adaptive slicing
Bar
Surface error
