Boundary points De-noising and simplification based on spatial connectivity

Wei Zhua, Fang Di, Jian Li Li, Li Tian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMechanical and Electrical Technology V
Pages815-819
Number of pages5
DOIs
Publication statusPublished - 2013
Event5th International Conference on Mechanical and Electrical Technology, ICMET 2013 - Chengdu, China
Duration: 20 Jul 201321 Jul 2013

Publication series

NameApplied Mechanics and Materials
Volume392
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference5th International Conference on Mechanical and Electrical Technology, ICMET 2013
Country/TerritoryChina
CityChengdu
Period20/07/1321/07/13

Keywords

  • De-noising
  • Point cloud
  • Simplification
  • Spatial connectivity

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