Automatic Distortion Rectification of Wide-Angle Images Using Outlier Refinement for Streamlining Vision Tasks

The study proposes an outlier refinement methodology for automatic distortion rectification of wide-angle and fish-eye lens camera models in the context of streamlining vision-based tasks. The line-members sets are estimated in a scene through accumulation of line candidates emerging from the same e...

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Detalles Bibliográficos
Autores principales: Kakani, Vijay, Kim, Hakil, Lee, Jongseo, Ryu, Choonwoo, Kumbham, Mahendar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039389/
https://www.ncbi.nlm.nih.gov/pubmed/32046169
http://dx.doi.org/10.3390/s20030894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039389/
https://www.ncbi.nlm.nih.gov/pubmed/32046169
http://dx.doi.org/10.3390/s20030894

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