机构地区: 河南师范大学计算机与信息工程学院计算机科学与技术系
出 处: 《计算机应用与软件》 2002年第8期6-9,43,共5页
摘 要: 本文主要对三维数据点重构曲面网格模型方法进行了综述。从三维数据点集重构曲面一般遵循以下三个步骤:1)重构曲面网格模型;2)网格简化;3)拟合曲面(通常为Bezier,NURBS),其中重构曲面网格为关键的一步;三维数据点集由三维数字化仪采集得到,不同的数字化设备,得到的三维数据点集可能会有差别,重构曲面网格的算法也不尽相同。本文介绍了几种对于不同数据形式、有代表性的重构曲面网格算法。 In the paper, we present a survey of different methods for reconstructing a surface from 3D point data. The process of turning a set of sample points in R into a surface model generally involves the following three steps: 1) the reconstruction of an initial surface mesh model; 2) simplification of the mesh; and 3) fitting of the curved surface patches(Bezier, NURBS). Among them the key step is the first. The 3D sample points are gained with 3D shape digital instruments,where as different instruments could gain different 3D data types,so we should select different reconstruction algorithms according to data types. Several typical reconstruction algorithms are presented in this paper.
关 键 词: 点集重构 曲面网格 逆工程 三角化 计算机图形学
领 域: [自动化与计算机技术] [自动化与计算机技术]