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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5969772/ https://ncbi.nlm.nih.gov/pubmed/29799864 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0197542 |
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