Optimization of the 3D Point Cloud Registration Algorithm Based on FPFH Features

Optimization of the 3D Point Cloud Registration Algorithm Based on FPFH Features

In order to solve the problem of the traditional iterative closest point algorithm (ICPA), which requires a high initial position of point cloud and improves the speed and accuracy of point cloud registration, a new registration method is proposed in this paper. Firstly, the rough registration metho...

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Bibliographic Details
Main Authors: Ruiyang Sun, Enzhong Zhang, Deqiang Mu, Shijun Ji, Ziqiang Zhang, Hongwei Liu, Zheng Fu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
feature extraction
point cloud filtering
edge feature points
iterative closest point (icp)
rough registration
precise registration
Online Access:https://www.mdpi.com/2076-3417/13/5/3096

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https://www.mdpi.com/2076-3417/13/5/3096

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