- CHENG Xiaojun
CHENG Xiaojun
Department of Survey and Geo informatics, Tongji University, Shanghai 200092, China; Key Laboratory of Advanced Engineering Surveying of National Administration of Surveying, Mapping and Geoinformation, Shanghai 200092, China
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Search for this author on this site - JIA Dongfeng
JIA Dongfeng
Department of Survey and Geo informatics, Tongji University, Shanghai 200092, China
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LIU Yanping
Department of Civil Engineering, Tongji University Zhejiang College, Jiaxing 314000, China
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Rapid generation of contour from massive point cloud data is the crucial step for feature based model reconstruction. This paper proposes a fast contour generation algorithm of massive point cloud data based on slicing. To extract the featured points (FPs) from slice, a layer based point cloud model is directly generated from the point cloud data and serves as the input of a digital image based method. Meanwhile, the size of the grid of digital plane is discussed for fast getting FPs. Based on the FPs of each slice, bidirectional index connecting method (BICM) is put forward to quickly construct layer contour. Finally, the curve model is generated. Several case studies are presented to illustrate the efficiency and accuracy of this approach.
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CHENG Xiaojun, JIA Dongfeng, LIU Yanping. A Fast Contour Generation Algorithm of Massive Point Cloud Data[J].同济大学学报(自然科学版),2012,40(10):1559~1563
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History
- Received:August 23,2011
- Revised:June 12,2012
- Adopted:March 13,2012
- Online: October 26,2012
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