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基于ANN-NURBS的散乱数据点自由曲面重构
引用本文:张伟,姜献峰,孙毅,马亚良,王秋成.基于ANN-NURBS的散乱数据点自由曲面重构[J].浙江工业大学学报,2003,31(5):540-544.
作者姓名:张伟  姜献峰  孙毅  马亚良  王秋成
作者单位:1. 浙江工业大学,机电工程学院,浙江,杭州,310032
2. 浙江工业大学,职业技术学院,浙江,杭州,310032
基金项目:浙江省自然科学基金项目(599008),浙江省教育委员会基金项目(19990008)
摘    要:探讨了曲面三维密集散乱点数据的几何建模方法。按照先压缩后拟合的两步方法重构策略,实施基于ANN-NURBS的散乱点自由曲面重构。提出了基于人工神经网络(ANN)的散乱数据点的拓扑矩形网格重建方法并建立了神经网络模型。该模型利用神经元对曲面散乱点的学习和训练来模拟曲面上的点与点之间的内在关系,结点连接权矢量集作为对散乱点集的工程近似化并重构曲面样本点的内在拓扑关系。算例表明,该方法可实现三维密集散乱点数据自组织压缩,生成期望疏密程度和精度的矩形拓扑网格,并可有效保持原数据点集的拓扑特征,从而实现了基于NURBS的大规模散乱数据点的精确曲面重构。

关 键 词:ANN-NURBS  散乱数据点  曲面重构  人工神经网络  模型  非均匀有理B样条  逆向工程  压缩网格
文章编号:1006-4303(2003)05-0540-05
修稿时间:2002年12月11

Approach of free-form surface reconstruction from scattered data based on artificial neural network and NURBS
ZHANG Wei,JIANG Xian-feng,SUN Yi,MA Ya-liang,WANG Qiu-cheng.Approach of free-form surface reconstruction from scattered data based on artificial neural network and NURBS[J].Journal of Zhejiang University of Technology,2003,31(5):540-544.
Authors:ZHANG Wei  JIANG Xian-feng  SUN Yi  MA Ya-liang  WANG Qiu-cheng
Affiliation:ZHANG Wei~1,JIANG Xian-feng~1,SUN Yi~1,MA Ya-liang~1,WANG Qiu-cheng~2
Abstract:An approach is presented to model the 3D scattered data measured from the curved surfaces in two stages. The first stage employs the self\|organizing feature map neural network to extract the large scale scattered data and produce the topologic rectangular mesh. It follows the second stage by reconstructing the surface from the topologic rectangular mesh based on the NURBS method. The computer simulation shows that the large scale scattered data can be reduced to the reasonable scale, while the topologic features of the whole scattered data are kept, thereby the precise surface reconstruction with NURBS is realized.
Keywords:reverse engineering  surface reconstruction  neural network  scattered points  NURBS
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