Provably Good 2D Shape Reconstruction from Unorganized Cross-Sections

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dc.contributor.authorMemari, Pooranen_US
dc.contributor.authorBoissonnat, Jean-Danielen_US
dc.date.accessioned2015-02-21T17:32:29Z
dc.date.available2015-02-21T17:32:29Z
dc.date.issued2008en_US
dc.description.abstractThis paper deals with the reconstruction of 2-dimensional geometric shapes from unorganized 1-dimensional cross-sections. We study the problem in its full generality following the approach of Boissonnat and Memari [BM07] for the analogous 3D problem. We propose a new variant of this method and provide sampling conditions to guarantee that the output of the algorithm has the same topology as the original object and is close to it (for the Hausdorff distance).en_US
dc.description.number5en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01280.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1403-1410en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01280.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleProvably Good 2D Shape Reconstruction from Unorganized Cross-Sectionsen_US
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27-Issue 5
SGP08: Eurographics Symposium on Geometry Processing