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...

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Detalles Bibliográficos
Autores principales: Kang, Zhizhong, Li, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
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

Internet

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

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