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Curve intersection based on cubic hybrid clipping

This study presents a novel approach to computing all intersections between two Bézier curves using cubic hybrid clipping. Each intersection is represented by two strip intervals that contain an intersection. In each step, one curve is bounded by two fat lines, and the other is bounded by two cubic...

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Detalles Bibliográficos
Autores principales: Wu, Yaqiong, Li, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218043/
https://www.ncbi.nlm.nih.gov/pubmed/35731310
http://dx.doi.org/10.1186/s42492-022-00114-3
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author Wu, Yaqiong
Li, Xin
author_facet Wu, Yaqiong
Li, Xin
author_sort Wu, Yaqiong
collection PubMed
description This study presents a novel approach to computing all intersections between two Bézier curves using cubic hybrid clipping. Each intersection is represented by two strip intervals that contain an intersection. In each step, one curve is bounded by two fat lines, and the other is bounded by two cubic Bézier curves, clipping away the domain that does not contain the intersections. By selecting the moving control points of the cubic hybrid curves, better cubic polynomial bounds are obtained to make the proposed method more efficient. It was proved that the two strip intervals have second- and fourth-order convergence rates for transversal intersections. Experimental results show that the new algorithm is the most efficient among all existing curve/curve intersection approaches.
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spelling pubmed-92180432022-06-24 Curve intersection based on cubic hybrid clipping Wu, Yaqiong Li, Xin Vis Comput Ind Biomed Art Original Article This study presents a novel approach to computing all intersections between two Bézier curves using cubic hybrid clipping. Each intersection is represented by two strip intervals that contain an intersection. In each step, one curve is bounded by two fat lines, and the other is bounded by two cubic Bézier curves, clipping away the domain that does not contain the intersections. By selecting the moving control points of the cubic hybrid curves, better cubic polynomial bounds are obtained to make the proposed method more efficient. It was proved that the two strip intervals have second- and fourth-order convergence rates for transversal intersections. Experimental results show that the new algorithm is the most efficient among all existing curve/curve intersection approaches. Springer Nature Singapore 2022-06-22 /pmc/articles/PMC9218043/ /pubmed/35731310 http://dx.doi.org/10.1186/s42492-022-00114-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Wu, Yaqiong
Li, Xin
Curve intersection based on cubic hybrid clipping
title Curve intersection based on cubic hybrid clipping
title_full Curve intersection based on cubic hybrid clipping
title_fullStr Curve intersection based on cubic hybrid clipping
title_full_unstemmed Curve intersection based on cubic hybrid clipping
title_short Curve intersection based on cubic hybrid clipping
title_sort curve intersection based on cubic hybrid clipping
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218043/
https://www.ncbi.nlm.nih.gov/pubmed/35731310
http://dx.doi.org/10.1186/s42492-022-00114-3
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