Competing Fronts for Coarse-to-Fine Surface Reconstruction

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dc.contributor.authorSharf, Andreien_US
dc.contributor.authorLewiner, Thomasen_US
dc.contributor.authorShamir, Arielen_US
dc.contributor.authorKobbelt, Leifen_US
dc.contributor.authorCohen-Or, Danielen_US
dc.date.accessioned2015-02-21T14:31:14Z
dc.date.available2015-02-21T14:31:14Z
dc.date.issued2006en_US
dc.description.abstractWe present a deformable model to reconstruct a surface from a point cloud. The model is based on an explicit mesh representation composed of multiple competing evolving fronts. These fronts adapt to the local feature size of the target shape in a coarse-to-fine manner. Hence, they approach towards the finer (local) features of the target shape only after the reconstruction of the coarse (global) features has been completed. This conservative approach leads to a better control and interpretation of the reconstructed topology. The use of an explicit representation for the deformable model guarantees water-tightness and simple tracking of topological events. Furthermore, the coarse-to-fine nature of reconstruction enables adaptive handling of non-homogenous sample density, including robustness to missing data in defected areas.Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Digitizing and scanning.Keywords: surface reconstruction, deformable modelsen_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume25en_US
dc.identifier.doi10.1111/j.1467-8659.2006.00958.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages389-398en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2006.00958.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleCompeting Fronts for Coarse-to-Fine Surface Reconstructionen_US
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