Centralized RANSAC-Based Point Cloud Registration With Fast Convergence and High Accuracy

Centralized RANSAC-Based Point Cloud Registration With Fast Convergence and High Accuracy

For point cloud registration, the purpose of this article is to propose a novel centralized random sample consensus (RANSAC) (C-RANSAC) registration with fast convergence and high accuracy. In our algorithm, the novel contributions are, first, the proposal of a scale histogram-based outlier removal...

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Bibliographic Details
Main Authors: Kuo-Liang Chung, Wei-Tai Chang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Execution time
line vector set
outlier removal
point cloud registration (PCR)
random sample consensus (RANSAC)
registration accuracy
Online Access:https://ieeexplore.ieee.org/document/10433649/

Internet

https://ieeexplore.ieee.org/document/10433649/

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