Normal Estimation for Point Clouds: A Comparison Study for a Voronoi Based Method

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dc.contributor.authorDey, Tamal K.en_US
dc.contributor.authorLi, Gangen_US
dc.contributor.authorSun, Jianen_US
dc.contributor.editorMarc Alexa and Szymon Rusinkiewicz and Mark Pauly and Matthias Zwickeren_US
dc.date.accessioned2014-01-29T16:31:42Z
dc.date.available2014-01-29T16:31:42Z
dc.date.issued2005en_US
dc.description.abstractMany applications that process a point cloud data benefit from a reliable normal estimation step. Given a point cloud presumably sampled from an unknown surface, the problem is to estimate the normals of the surface at the data points. Two approaches, one based on numerical optimizations and another based on Voronoi diagrams are known for the problem. Variations of numerical approaches work well even when point clouds are contaminated with noise. Recently a variation of the Voronoi based method is proposed for noisy point clouds. The centrality of the normal estimation step in point cloud processing begs a thorough study of the two approaches so that one knows which approach is appropriate for what circumstances. This paper presents such results.en_US
dc.description.seriesinformationEurographics Symposium on Point-Based Graphics (2005)en_US
dc.identifier.isbn3-905673-20-7en_US
dc.identifier.issn1811-7813en_US
dc.identifier.urihttps://doi.org/10.2312/SPBG/SPBG05/039-046en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Line and Curve Generationen_US
dc.titleNormal Estimation for Point Clouds: A Comparison Study for a Voronoi Based Methoden_US
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