Robust 3D point cloud registration based on bidirectional Maximum Correntropy Criterion

This paper presents a robust 3D point cloud registration algorithm based on bidirectional Maximum Correntropy Criterion (MCC). Comparing with traditional registration algorithm based on the mean square error (MSE), using the MCC is superior in dealing with complex registration problem with non-Gauss...

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Detalles Bibliográficos
Autores principales: Zhang, Xuetao, Jian, Libo, Xu, Meifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969772/
https://www.ncbi.nlm.nih.gov/pubmed/29799864
http://dx.doi.org/10.1371/journal.pone.0197542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969772/
https://www.ncbi.nlm.nih.gov/pubmed/29799864
http://dx.doi.org/10.1371/journal.pone.0197542

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