Cargando…
An Iterative Closest Points Algorithm for Registration of 3D Laser Scanner Point Clouds with Geometric Features
The Iterative Closest Points (ICP) algorithm is the mainstream algorithm used in the process of accurate registration of 3D point cloud data. The algorithm requires a proper initial value and the approximate registration of two point clouds to prevent the algorithm from falling into local extremes,...
Autores principales: | He, Ying, Liang, Bin, Yang, Jun, Li, Shunzhi, He, Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580094/ https://www.ncbi.nlm.nih.gov/pubmed/28800096 http://dx.doi.org/10.3390/s17081862 |
Ejemplares similares
-
Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
por: Choi, Ouk, et al.
Publicado: (2020) -
Robust iterative closest point algorithm based on global reference point for rotation invariant registration
por: Du, Shaoyi, et al.
Publicado: (2017) -
Affine Iterative Closest Point Algorithm Based on Color Information and Correntropy for Precise Point Set Registration
por: Liang, Lexian, et al.
Publicado: (2023) -
Computational Analysis of Distance Operators for the Iterative Closest Point Algorithm
por: Mora, Higinio, et al.
Publicado: (2016) -
Body surface registration considering individual differences with non-rigid iterative closest point
por: Tsumura, Ryosuke, et al.
Publicado: (2023)