小波分析在三维离散数据点云滤波中的应用  

Application of Wavelet Analysis to Decomposition of 3D Discrete Data in Point Cloud

作　　者：刘冠权[1] 程俊廷[1] 姚继权[1] 程树民[1] 

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000

出　　处：《辽宁工学院学报》2003年第3期33-35,共3页Journal of Liaoning Institute of Technology(Natural Science Edition)

摘　　要：点云数据的曲面重构是逆向工程的关键技术。本文采用了B样条曲线的小波滤波方法。首先利用准均匀B样条曲线逼近具有任意点矢量的B样条曲线的方法,从而将任意B样条曲线转化为多分辨率表示。小波滤波方法在滤波的同时具有减少控制点数目的作用,起到了数据压缩的效。本文应用VC++6.0为开发平台,并给出运行结果。Surface reconstruction from point cloud data is a key technology of reverse engineering. A method of fairing B-spline curves by wavelet decomposition is investigated. First, the B-spline curve defined by arbitrary knot is approximated by a quasi-uniform B-spline forming the base for multi-resolution representations. Then, the fairing process can be realized step by step. Also, the wavelet-based fairing method possesses the function to reduce the number of control vertices, i. e. the function of data compression. The algorithms presented are general and simple. This paper offers data structure on VC+ +6. 0 platform and running result.

关 键 词：小波分析 三维离散数据点云 曲面重构 逆向工程 B样条曲线 多分辨率分析 滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]