Surface fitting based on a feature sensitive parametrization

被引：33

作者：

Lai, Yu-Kun

Hu, Shi-Min ^{[1
]}

Pottmann, Helmut

机构：

[1] Tsinghua Univ, Beijing 100084, Peoples R China

[2] Vienna Univ Technol, A-1040 Vienna, Austria

来源：

COMPUTER-AIDED DESIGN | 2006年 / 38卷 / 07期

基金：

中国国家自然科学基金; 奥地利科学基金会;

关键词：

surface approximation; parametrization; feature sensitivity;

D O I：

10.1016/j.cad.2006.04.007

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Most approaches to least squares fitting of a B-spline surface to measurement data require a parametrization of the data point set and the choice of suitable knot vectors. We propose to use uniform knots in connection with a feature sensitive parametrization. This parametrization allocates more parameter space to highly curved feature regions and thus automatically provides more control points where they are needed. (C) 2006 Elsevier Ltd. All rights reserved.

引用

页码：800 / 807

页数：8

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