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Primitive Fitting Based on the Efficient multiBaySAC Algorithm
Although RANSAC is proven to be robust, the original RANSAC algorithm selects hypothesis sets at random, generating numerous iterations and high computational costs because many hypothesis sets are contaminated with outliers. This paper presents a conditional sampling method, multiBaySAC (Bayes SAmp...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4363901/ https://www.ncbi.nlm.nih.gov/pubmed/25781620 http://dx.doi.org/10.1371/journal.pone.0117341 |