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,...

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Detalles Bibliográficos
Autores principales: He, Ying, Liang, Bin, Yang, Jun, Li, Shunzhi, He, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580094/
https://www.ncbi.nlm.nih.gov/pubmed/28800096
http://dx.doi.org/10.3390/s17081862

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