Boundary Points De-Noising and Simplification Based on Spatial Connectivity

Wei Zhu; Fang Di; Jian Li Li; Li Tian

doi:10.4028/www.scientific.net/AMM.392.815

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 392Boundary Points De-Noising and Simplification...

Boundary Points De-Noising and Simplification Based on Spatial Connectivity

Abstract:

A de-noising and simplification approach based on spatial connectivity is proposed which is applied to deal with the boundary points of point cloud. First, grid method is used to represent the spatial topology relationship of the scattered point cloud and calculate the k-nearest neighbors for each data point. Then boundary points are extracted according to uniform distribution of point cloud. And next, an algorithm for boundary points simplification of point cloud is presented to further simplify boundary points. Consequently, not only the details characteristics are reserved well, but also the boundary points are simplified. The experimental result shows that the proposed approach can not only reserve characteristics of both details and boundaries but also realize de-noising and simplification of point cloud.

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Periodical:

Applied Mechanics and Materials (Volume 392)

Pages:

815-819

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.392.815

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Online since:

September 2013

Authors:

Wei Zhu, Fang Di, Jian Li Li, Li Tian

Keywords:

De-Noising, Point Cloud, Simplification, Spatial Connectivity

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