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dc.contributor.authorOhrhallinger, Stefanen_US
dc.contributor.authorPeethambaran, Jijuen_US
dc.contributor.authorParakkat, Amal Deven_US
dc.contributor.authorDey, Tamal K.en_US
dc.contributor.authorMuthuganapathy, R.en_US
dc.contributor.editorHahmann, Stefanieen_US
dc.contributor.editorPatow, Gustavo A.en_US
dc.date.accessioned2022-04-22T11:46:00Z
dc.date.available2022-04-22T11:46:00Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-172-4
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egt.20221058
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egt20221058
dc.description.abstractCurve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation of a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results and easy integration of new algorithms.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectPicture/Image Generation - Line and curve generation
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.title2D Points Curve Reconstruction Survey and Benchmarken_US
dc.description.seriesinformationEurographics 2022 - Tutorials
dc.description.sectionheadersTutorials
dc.identifier.doi10.2312/egt.20221058


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License