Reconstruction of the initial curve from a two-dimensional shape for the B-spline curve fitting

Curve reconstruction is a significant challenge in computer-aided geometric design, computational atomic and molecular physics, engineering design, virtual reality and data visualization. This study discusses a method of producing B-spline parametric curve from the large number of data points. The i...

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Vydané v:European physical journal plus Ročník 137; číslo 3; s. 411
Hlavní autori: Jahanshahloo, Almas, Ebrahimi, ALireza
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 31.03.2022
Springer Nature B.V
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Abstract Curve reconstruction is a significant challenge in computer-aided geometric design, computational atomic and molecular physics, engineering design, virtual reality and data visualization. This study discusses a method of producing B-spline parametric curve from the large number of data points. The introduced scheme includes three major parts for curve reconstruction: (1) formulation of the B-spline curve fitting as a nonlinear least squares optimization problem, (2) construction of the precise initial B-spline curve using properly determined control points, and (3) usage of the diagonal approximation BFGS method to identify the location parameters and the control points simultaneously. The modeling examples demonstrate that the suggested techniques are successful and can therefore significantly reduce fitting error by adjusting the number and location of control points.
AbstractList Curve reconstruction is a significant challenge in computer-aided geometric design, computational atomic and molecular physics, engineering design, virtual reality and data visualization. This study discusses a method of producing B-spline parametric curve from the large number of data points. The introduced scheme includes three major parts for curve reconstruction: (1) formulation of the B-spline curve fitting as a nonlinear least squares optimization problem, (2) construction of the precise initial B-spline curve using properly determined control points, and (3) usage of the diagonal approximation BFGS method to identify the location parameters and the control points simultaneously. The modeling examples demonstrate that the suggested techniques are successful and can therefore significantly reduce fitting error by adjusting the number and location of control points.
ArticleNumber 411
Author Jahanshahloo, Almas
Ebrahimi, ALireza
Author_xml – sequence: 1
  givenname: Almas
  surname: Jahanshahloo
  fullname: Jahanshahloo, Almas
  organization: Department of Mathematics, East Tehran Branch, Islamic Azad University
– sequence: 2
  givenname: ALireza
  surname: Ebrahimi
  fullname: Ebrahimi, ALireza
  email: a.ebrahimi@stu.yazd.ac.ir, a.ebrahimi65@gmail.com
  organization: Computer Geometry and Dynamical Systems Laboratory, Faculty of Mathematical Sciences, Yazd University
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Snippet Curve reconstruction is a significant challenge in computer-aided geometric design, computational atomic and molecular physics, engineering design, virtual...
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SubjectTerms Algorithms
Applied and Technical Physics
Approximation
Atomic
B spline functions
CAD
Complex Systems
Computer aided design
Condensed Matter Physics
Cultural heritage
Curve fitting
Data compression
Data points
Design engineering
Error reduction
Identification methods
Mathematical and Computational Physics
Molecular
Molecular physics
Optical and Plasma Physics
Optimization techniques
Parameter estimation
Parameter identification
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Title Reconstruction of the initial curve from a two-dimensional shape for the B-spline curve fitting
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Volume 137
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