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A Structure-Based Iterative Closest Point Using Anderson Acceleration for Point Clouds with Low Overlap
The traditional point-cloud registration algorithms require large overlap between scans, which imposes strict constrains on data acquisition. To facilitate registration, the user has to strategically position or move the scanner to ensure proper overlap. In this work, we design a method of feature e...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963010/ https://www.ncbi.nlm.nih.gov/pubmed/36850645 http://dx.doi.org/10.3390/s23042049 |