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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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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2018
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| 主題: | |
| オンライン･アクセス: | 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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