3D Laser Scanning Data Segmentation Based on Region Dilation Strategy

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 surfac...

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Bibliographic Details
Main Authors: Meng Li, Ping Fu, Sheng-he Sun
Format: Conference Proceeding
Language:English
Subjects:
3D pattern recognition
Automatic testing
Clouds
computer graphics
Coordinate measuring machines
Data mining
Force measurement
Hybrid intelligent systems
Sun
Surface emitting lasers
surface segmentation
System testing
Velocity measurement
Online Access:Request full text
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Summary: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.
DOI:10.1109/HIS.2009.68