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Automatic point cloud registration algorithm based on the feature histogram of local surface
In this paper, we present an efficient algorithm for point cloud registration in presence of low overlap rate and high noise. The proposed registration method mainly includes four parts: the loop voxel filtering, the curvature-based key point selection, the robust geometric descriptor, and the deter...
Autores principales: | Lu, Jun, Wang, Zhuo, Hua, Bowen, Chen, Kun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485869/ https://www.ncbi.nlm.nih.gov/pubmed/32915857 http://dx.doi.org/10.1371/journal.pone.0238802 |
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