摘要
激光扫描系统得到的点云数据,密度大,包含有大量的冗余数据。针对这种数据的特点,对切片上的点云数据,提出了给定误差下的最小二乘非均匀B样条拟合法压缩点云数据的方法;对切片数目的精简,提出了累加弦长,并等分弦长,然后反算等分点在总弦长的位置来精简切片数目的方法。通过实例验证表明,该方法对点云数据处理的灵活性和适应性都较好,能够满足曲线和曲面重构的要求。
The point cloud from laser scanning system has a high density, and lots of redundancy data are included. Based on this characteristic, an algorithm of least - square non - uniform B - Spline under the given error was put forward to compress the section point cloud, also an algorithm of chord accumulating, chord division and calculating the position of division points on the chord to compress the amount of section point cloud was given out. An example is given to testify that the method is effectual, feasible and meet the require of the reconstruction of curves and surfaces.
出处
《西安科技大学学报》
CAS
北大核心
2006年第3期408-411,415,共5页
Journal of Xi’an University of Science and Technology
基金
国家自然科学基金资助项目(50275120)
湖南省杰出中青年基金项目(02JJYB009)
湖南科技大学机械设备健康维护省重点实验室开发基金资助项目(KFJJ0503)
关键词
反求工程
曲面重构
数据预处理
激光扫描
reverse engineering
surface reconstruction
data pre - processing
laser scanning
