Assessing the Practical Applicability of Neural-Based Point Clouds Registration Algorithms: A Comparative Analysis

Point cloud registration is a vital task in 3D perception, with several different applications in robotics.Recent advancements have introduced neural-based techniques that promise enhanced accuracy and robustness.In this paper, we thoroughly evaluate well-known neuralbased point cloud registration methods using the Point Clouds Registration Benchmark, which was developed to cover a large variety of use cases.

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Published
2025-09-03
DOI
https://doi.org/10.22541/au.168908592.24833908/v2
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
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article

Assessing the Practical Applicability of Neural-Based Point Clouds Registration Algorithms: A Comparative Analysis

Federica Di Lauro, Simone Fontana, Domenico G. Sorrenti
3D Surveying and Cultural Heritage
article

Assessing the Practical Applicability of Neural-Based Point Clouds Registration Algorithms: A Comparative Analysis

Federica Di Lauro, Simone Fontana, Domenico G. Sorrenti
article en

Abstract

Point cloud registration is a vital task in 3D perception, with several different applications in robotics.Recent advancements have introduced neural-based techniques that promise enhanced accuracy and robustness.In this paper, we thoroughly evaluate well-known neuralbased point cloud registration methods using the Point Clouds Registration Benchmark, which was developed to cover a large variety of use cases.

University of Milano-Bicocca (IT)
Openalex Percentile: Top 68%
3D Surveying and Cultural Heritage
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