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 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
31.03.2022
Springer Nature B.V |
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| ISSN: | 2190-5444, 2190-5444 |
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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. |
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| 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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AI Data Min.202081105118 J Gallier (2604_CR2) 2000 DY Yang (2604_CR61) 2021; 150 A Masood (2604_CR23) 2010; 58 C Kee (2604_CR15) 2012; 44 A Ebrahimi (2604_CR22) 2019; 9 M Sarfraz (2604_CR13) 2018; 57 F Pérez-Arribas (2604_CR37) 2016; 55 S Biswas (2604_CR26) 2004; 37 M Wang (2604_CR58) 2021; 119 XT Gao (2604_CR60) 2021; 151 S Cipolla (2604_CR7) 2015; 471 NM Patrikalakis (2604_CR36) 2002 M Sarfraz (2604_CR21) 2002; 26 A Ebrahimi (2604_CR47) 2018; 77 MA Khan (2604_CR33) 2007; 90 MA Khan (2604_CR31) 2012; 6 M Ebadi (2604_CR34) 2021; 6 F Javidrad (2604_CR52) 2012; 12 GE Farin (2604_CR1) 2002 A Gálvez (2604_CR51) 2013; 2013 M Sarfraz (2604_CR3) 2008 MA Khan (2604_CR32) 2016; 27 A Gálvez (2604_CR49) 2016; 275 AY Hasegawa (2604_CR50) 2014; 11 M Leu (2604_CR39) 2005; 54 P Bergström (2604_CR43) 2012; 3 X Zhao (2604_CR54) 2011; 43 2604_CR30 A Ebrahimi (2604_CR17) 2019; 359 XY Gao (2604_CR63) 2020; 72 A Ebrahimi (2604_CR4) 2020; 8 W Wang (2604_CR11) 2006; 25 M Sarfraz (2604_CR20) 2003; 150 J Rossignac (2604_CR38) 1993 S Abbas (2604_CR25) 2018; 57 H Yang (2604_CR40) 2004; 36 A Ebrahimi (2604_CR46) 2019; 43 2604_CR8 C Di Fiore (2604_CR66) 2003; 94 W Sun (2604_CR68) 2006 D Salomon (2604_CR35) 2007 NR Draper (2604_CR12) 1998 E Zieniuk (2604_CR14) 2018; 37 XY Gao (2604_CR65) 2021; 136 J Nocedal (2604_CR67) 2006 2604_CR42 Z Meng-Hua (2604_CR56) 2009; 33 P Bergström (2604_CR10) 2012; 52 A Masood (2604_CR24) 2009; 27 T Speer (2604_CR44) 1998; 15 A Gálvez (2604_CR48) 2011; 43 S Biswas (2604_CR27) 2007 MZ Hussain (2604_CR28) 2017; 12 L Piegl (2604_CR5) 2012; 6 X Li (2604_CR16) 2019; 350 A Majeed (2604_CR29) 2018; 37 2604_CR19 H Bachau (2604_CR6) 2001; 64 W Zheng (2604_CR45) 2012; 29 2604_CR57 R Franke (2604_CR9) 1987 2604_CR53 J Weber (2604_CR55) 2009; 106 XY Gao (2604_CR62) 2021; 120 XY Gao (2604_CR64) 2021; 150 S Kirmani (2604_CR18) 2019; 134 Y Shen (2604_CR59) 2021; 122 H Park (2604_CR41) 2007; 39 |
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