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dc.contributor.authorLiao, Binen_US
dc.contributor.authorXiao, Chunxiaen_US
dc.contributor.authorJin, Liqiangen_US
dc.contributor.editorN. Avis and S. Lefebvreen_US
dc.date.accessioned2014-02-06T15:43:58Z
dc.date.available2014-02-06T15:43:58Z
dc.date.issued2011en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttp://dx.doi.org/10.2312/EG2011/short/013-016en_US
dc.description.abstractThis paper proposes an efficient and feature-preserving locally optimal projection operator (FLOP) for geometry reconstruction. We first develop a bilateral weighted local optimal projection operator. We then present a novel fast FLOP operator based on random sampling of Kernel Density Estimate (KDE), which greatly accelerates FLOP. The experimental results show that the proposed algorithms are efficient and robust for feature-preserving geometry reconstruction.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generationen_US
dc.titleEfficient Feature-preserving Local Projection Operator for Geometry Reconstructionen_US
dc.description.seriesinformationEurographics 2011 - Short Papersen_US


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