计算机技术与发展2017，Vol.27Issue(8)：25-29,5.DOI:10.3969/j.issn.1673-629X.2017.08.006
基于散乱数据的二元样条S12(Δ(2)mn)曲面重构方法
Surface Reconstruction Method of Bivariate Spline S12(Δ(2)mn) Based on Scattered Data
摘要
Abstract
In the field of computation geometry,the use of surface fitting scattered data points is a difficult problem for CG and CAGD.The traditional bivariate spline surface reconstruction algorithm based on uniform type-2 triangulation exists shortcomings of slow speed and poor accuracy.Aiming at these problems above,a new surface reconstruction method is developed successfully.The convolution type control coefficient is offered through the data points,and the distance between data points and surface is obtained by iterative method.Then according to the distance,control coefficient is adjusted until the difference is less than the appropriate threshold before and after the maximum distance of data points and surface,so the optimum control coefficient is determined.Then blocks are selected as basic calculation unit,eliminating repeated calculation at the boundary reduced computation times.The results show that the method improves the speed and quality of surface reconstruction and is proved to be feasible and effective.关键词
二元样条/卷积/曲面重构/控制系数/迭代方法Key words
bivariate spline/convolution/surface reconstruction/control coefficient/iteration method分类
信息技术与安全科学引用本文复制引用
汪春晓,路游..基于散乱数据的二元样条S12(Δ(2)mn)曲面重构方法[J].计算机技术与发展,2017,27(8):25-29,5.基金项目
国家自然科学基金资助项目(60873093) （60873093）
