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dc.contributor.authorNagai, Yukieen_US
dc.contributor.authorOhtake, Yutakaen_US
dc.contributor.authorSuzuki, Hiromasaen_US
dc.contributor.editorP. Alliez and M. Magnoren_US
dc.date.accessioned2015-07-09T11:07:39Z
dc.date.available2015-07-09T11:07:39Z
dc.date.issued2009en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egs.20091052en_US
dc.description.abstractWe present a novel method of reconstructing surfaces from 3D scattered points by combining Partition of Unity (PU) and a Graph-cut approach. PU is a local approximation technique, meaning that the surfaces obtained have high accuracy but are sensitive to noise. Graph-cut, on the other hand, is a global algorithm that is robust to noise but produces low-accuracy results because it is a discrete binary operation. Our algorithm combines these two methods to achieve robust, high accuracy surface reconstruction. First, a PU implicit function is constructed by covering a space containing a point cloud with spherical supports of linear polynomials. Graph-cut is then performed to separate the covered domain into inside and outside areas of the object to be reconstructed. Finally, we extract the zero-level of PU using the marching tetrahedra approach.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleNoise Robust Surface Reconstruction by Combining PU and Graph-cuten_US
dc.description.seriesinformationEurographics 2009 - Short Papersen_US
dc.description.sectionheadersGeometry and Imagesen_US
dc.identifier.doi10.2312/egs.20091052en_US
dc.identifier.pages73-76en_US


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