On Minimizing the Probability of Large Errors in Robust Point Cloud Registration
In solving a model fitting problem, the existence of outliers in the set of measurements can have a devastating effect on the solution accuracy. Traditionally, in order to overcome this problem, robust point cloud registration algorithms are composed of transformation hypothesis generation, followed...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Open Journal of Signal Processing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10345750/ |
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