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	Author	Dey, Tamal K.; Li, Gang; Sun, Jian
	Title	Normal estimation for point clouds: a comparison study for a Voronoi based method			Type	Conference Article
	Year	2005	Publication	Point-Based Graphics, 2005. Eurographics/IEEE VGTC Symposium Proceedings	Abbreviated Journal
	Volume		Issue		Pages	39-46
	Keywords	Voronoi based method application; Voronoi diagram; noisy point cloud; normal estimation; numerical optimization; point based geomentry; point clouds; rendering; surface reconstruction; computational geometry; data visualisation; rendering (computer graphics); surface fitting
	Abstract	Many 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.
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	Corporate Author				Thesis
	Publisher	IEEE	Place of Publication		Editor	Pauly, M.; Zwicker, M.
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	1511-7813	ISBN	3-905673-20-7	Medium
	Area		Expedition		Conference	Eurographics Symposium on Point-Based Graphics
	Notes				Approved	yes
	Call Number	UCF @ kdamkjer @ Dey_2005			Serial	28
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