Reliable RANSAC Using a Novel Preprocessing Model

Geometric assumption and verification with RANSAC has become a crucial step for corresponding to local features due to its wide applications in biomedical feature analysis and vision computing. However, conventional RANSAC is very time-consuming due to redundant sampling times, especially dealing wi...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoyan, Zhang, Hui, Liu, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590582/
https://www.ncbi.nlm.nih.gov/pubmed/23509601
http://dx.doi.org/10.1155/2013/672509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590582/
https://www.ncbi.nlm.nih.gov/pubmed/23509601
http://dx.doi.org/10.1155/2013/672509

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