3D Laser Scanning Data Segmentation Based on Region Dilation Strategy

Author

Li, Meng ; Fu, Ping ; Sun, Sheng-he

Author_Institution

Autom. Test & Control Inst., Harbin Inst. of Technol., Harbin, China

Volume

1

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

313

Lastpage

316

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 subrandomly 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.

Keywords

image segmentation; optical scanners; solid modelling; 3D laser scanning data segmentation; 3D point cloud; Roland LPX-250 3D laser scanner; region dilation strategy; surface segmentation algorithm; Automatic testing; Clouds; Coordinate measuring machines; Data mining; Force measurement; Hybrid intelligent systems; Sun; Surface emitting lasers; System testing; Velocity measurement; 3D pattern recognition; computer graphics; surface segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.68

Filename

5254369