B-spline curve fitting based on dynamic adjustment of knot vector using feature points.

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-06-27 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0325458
Xiaobing Chen, Shuxin Guo, Rongrong Wang, Chuangchuang Zhang, Jianchu Lin, Shang Chen
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引用次数: 0

Abstract

An essential challenge in B-spline curve fitting is how to produce a B-spline curve that satisfies the accuracy requirement with a minimal number of knots and control points. This paper suggests a better algorithm based on feature points method. During the curve approximation process, the projection points of data points and their parameters are calculated, and the data point parameters are corrected to achieve dynamic adjustment of the knot vector. At the same time, traditional methods are improved in terms of initial feature point selection and new feature points determination. The experimental results indicate that the B-spline curve produced using the method in this work has higher fitting accuracy, fewer control points, and shorter fitting time.

基于特征点动态调整结向量的b样条曲线拟合。
如何以最少的结点和控制点生成满足精度要求的b样条曲线,是b样条曲线拟合的关键问题。本文提出了一种基于特征点的优化算法。在曲线逼近过程中,计算数据点的投影点及其参数,并对数据点参数进行校正,实现结向量的动态调整。同时,对传统方法在初始特征点选择和新特征点确定方面进行了改进。实验结果表明,该方法得到的b样条曲线具有较高的拟合精度、较少的控制点和较短的拟合时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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