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dc.contributor.authorMarin, Dianaen_US
dc.contributor.authorOhrhallinger, Stefanen_US
dc.contributor.authorWimmer, Michaelen_US
dc.contributor.editorSauvage, Basileen_US
dc.contributor.editorHasic-Telalovic, Jasminkaen_US
dc.date.accessioned2022-04-22T07:54:30Z
dc.date.available2022-04-22T07:54:30Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-171-7
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egp.20221013
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egp20221013
dc.description.abstractWe introduce a new method to compute the shape of an unstructured set of two-dimensional points. The algorithm exploits the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG). We filter edges from the Delaunay triangulation belonging to the SIG as an initial graph and apply some additional processing plus elements from the Connect2D algorithm. This combination already shows improvements in curve reconstruction, yielding the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and offers potential of further improvements.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies --> Point-based models
dc.subjectComputing methodologies
dc.subjectPoint
dc.subjectbased models
dc.titleSIG-based Curve Reconstructionen_US
dc.description.seriesinformationEurographics 2022 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/egp.20221013
dc.identifier.pages29-30
dc.identifier.pages2 pages


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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