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dc.contributor.authorOhrhallinger, Stefanen_US
dc.contributor.authorPeethambaran, Jijuen_US
dc.contributor.authorParakkat, Amal Deven_US
dc.contributor.authorDey, Tamal Krishnaen_US
dc.contributor.authorMuthuganapathy, Ramanathanen_US
dc.contributor.editorBühler, Katja and Rushmeier, Hollyen_US
dc.date.accessioned2021-04-09T08:41:57Z
dc.date.available2021-04-09T08:41:57Z
dc.date.issued2021
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.142659
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf142659
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 Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.title2D Points Curve Reconstruction Survey and Benchmarken_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersState of the Art Reports
dc.description.volume40
dc.description.number2
dc.identifier.doi10.1111/cgf.142659
dc.identifier.pages611-632
dc.description.documenttypestar


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