Fast Cylinder Shape Matching Using Random Sample Consensus in Large Scale Point Cloud

Fast Cylinder Shape Matching Using Random Sample Consensus in Large Scale Point Cloud

In this paper, an algorithm is proposed that can perform cylinder type matching faster than the existing method in point clouds that represent space. The existing matching method uses Hough transform and completes the matching through preprocessing such as noise filtering, normal estimation, and seg...

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Bibliographic Details
Main Authors: Young-Hoon Jin, Won-Hyung Lee
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
point cloud
RANSAC
Catmull-Rom
pipe estimation
PCA
Lidar
spline
detection
iterative method
random sample
Online Access:http://www.mdpi.com/2076-3417/9/5/974

Internet

http://www.mdpi.com/2076-3417/9/5/974

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