Sparse point cloud registration and aggregation with mesh‐based generalized iterative closest point
Author:
Affiliation:
1. Department of Mechanical Engineering University of Canterbury Christchurch New Zealand
2. Department of Computer Science and Software Engineering (CSSE) University of Canterbury Christchurch New Zealand
Funder
Callaghan Innovation
Publisher
Wiley
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.22032
Reference33 articles.
1. Besl P. J. &McKay N. D.(1992). Method for registration of 3‐d shapes. InSensor fusion IV: Control paradigms and data structures(Vol. 1611 pp.586–606). International Society for Optics and Photonics.
2. Globally consistent 3D mapping with scan matching
3. Sparse Iterative Closest Point
4. Object modelling by registration of multiple range images
5. How do ICP variants perform when used for scan matching terrain point clouds?
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