摘要
近年来,激光扫描技术有了重大的进展,可以方便地以较高精度和速度获取零件模型表面信息.对于产生的大量扫描数据,需要对其进行精简处理.在分析自适应最小距离法和基于八叉树非均匀网格法这2种精简方法特点的基础上,提出了基于这2种方法的改进型数据精简方法.该算法能够对大量点云测量数据进行直接、有效的精简.并通过对比实验进行了验证.最后对该算法的优缺点做了小结.
Recently, laser scanning technology has improved significantly. It has facilitated sampling part surface data with speed and accuracy. It is necessary to manipulate these large amounts of point data. Based on analyzing the adaptive minimum distance （AMD） method and the octree structure method, an improved direct data reduction method was proposed. The method can streamline the large number of point cloud data directly and effectively. And the experimental verification is carried out by comparing the data. Finally, a summary of the advantages and disadvantages of the method has been done.
出处
《光电技术应用》
2010年第1期60-63,70,共5页
Electro-Optic Technology Application
基金
北京市高等学校人才强教计划(PHR201007121)
关键词
逆向工程
数据精简
自适应最小距离
八叉树非均匀网格
reverse engineering
data reduction
adaptive minimum distance
octree non-uniform grid
