3D Laser Scanning Data Segmentation Based on Region Dilation Strategy

摘要：

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.

关键词： 3D pattern recognition computer graphics surface segmentation

作者: Meng Li Ping Fu Sheng-he Sun

作者单位: Automatic Test and Control Institute Harbin Institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）