NDLI: Normal estimation for point clouds: a comparison study for a Voronoi based method

Content Provider	IEEE Xplore Digital Library
Author	Dey, T.K. Li, G. Sun, J.
Copyright Year	2005
Description	Author affiliation: Ohio State Univ., Columbus, OH, USA (Dey, T.K.; Li, G.; Sun, J.)
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.
Sponsorship	IEEE Visualization and Graphics Tech. Comm. Eurographics Assoc. in cooperation with ACM SIGGRAPH
Starting Page	39
Ending Page	46
File Size	1162687
Page Count	8
File Format	PDF
ISBN	3905673207
ISSN	15117813
DOI	10.1109/PBG.2005.194062
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Eurographics Assoc.
Subject Keyword	Surface reconstruction Three-dimensional displays Computer graphics Carbon capture and storage State estimation Least squares methods Nearest neighbor searches
Content Type	Text
Resource Type	Article

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