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.
Authors
- Federica Di Lauro (ORCID: https://orcid.org/0000-0001-6327-5931)
- Simone Fontana (ORCID: https://orcid.org/0000-0001-7823-8973)
- Domenico G. Sorrenti (ORCID: https://orcid.org/0000-0002-4734-7330)
Institutions
- University of Milano-Bicocca (IT)
Publication Details
- 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
- 0.00