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Matching for Cylinder Shape in Point Cloud Using Random Sample Consensus
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 5,  2016, pp.562-568
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.5.562
 Title & Authors
Matching for Cylinder Shape in Point Cloud Using Random Sample Consensus
Jin, YoungHoon;
 
 Abstract
Point cloud data can be expressed in a specific coordinate system of a data set with a large number of points, to represent any form that generally has different characteristics in the three-dimensional coordinate space. This paper is aimed at finding a cylindrical pipe in the point cloud of the three-dimensional coordinate system using RANSAC, which is faster than the conventional Hough Transform method. In this study, the proposed cylindrical pipe is estimated by combining the results of parameters based on two mathematical models. The two kinds of mathematical models include a sphere and line, searching the sphere center point and radius in the cylinder, and detecting the cylinder with straightening of center. This method can match cylindrical pipe with relative accuracy; furthermore, the process is rapid except for normal estimation and segmentation. Quick cylinders matching could benefit from laser scanning and reverse engineering construction sectors that require pipe real-time estimates.
 Keywords
point cloud;RANSAC;iterative method;matching;3D scanner;building;
 Language
Korean
 Cited by
 References
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