基于第二代小波变换的点云数据精简技术  

A study on simplification techniques of point cloud data based on second generational wavelet transformation

作　　者：潘洋宇[1] 

机构地区：[1]淮安信息职业技术学院机械工程系,江苏淮安223003

出　　处：《机械设计》2007年第10期52-53,共2页Journal of Machine Design

基　　金：淮安市工业项目(HAG07019)

摘　　要：数据精简技术的关键是在精简数据的同时,最大限度地保留点云数据的原有特征。在研究现有数据精简技术的基础上,提出了基于提升格式的第二代小波进行分层数据精简的新方法。通过对点云数据分割、预测、排序,将小波系数较大值的点保留,小波系数较小的点删除,从而实现精简。该方法具有层次性,便于误差控制,运算简单等优点。Key of the data simplification technology is while at the same time of simplifying the data to reserve the original characteristics of point cloud data to the largest extent, On the basis of studying the existed data simplification techniques, the new method for carrying out the level by leveled data simplification was put forward based on the second generational wavelet of the upgraded format. By means of partition, prediction and ordering on the point cloud data to let the points with rather big valued wavelet coefficient be reserved and those points with rather small valued wavelet coefficient be deleted, thus realized the simplification. This method possesses layer property and advantages of easy error control and simple operation etc..

关 键 词：逆向工程 数据精简 第二代小波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]