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3D laser scanning data segmentation based on region dilation strategy

  • Meng Li*
  • , Ping Fu
  • , Sheng He Sun
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

Recently, 3D laser scanning is getting great interest for its relevant simplicity and speed. However, the output of 3D laser scanner is characterized as sub-randomly distributed 3D point clouds, the information associated with the object structure cannot be extracted directly. In this paper, a surface segmentation algorithm based on region dilation strategy for 3D laser scanning data is proposed. A Roland LPX-250 3D laser scanner is used in our experiment and the results show that this algorithm works well on various types of 3D laser scanning data.

Original languageEnglish
Title of host publicationProceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
Pages313-316
Number of pages4
DOIs
StatePublished - 2009
Event2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009 - Shenyang, China
Duration: 12 Aug 200914 Aug 2009

Publication series

NameProceedings - 2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
Volume1

Conference

Conference2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009
Country/TerritoryChina
CityShenyang
Period12/08/0914/08/09

Keywords

  • 3D pattern recognition
  • Computer graphics
  • Surface segmentation

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