Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

This paper describes a non-invasive, automatic, and robust method for calibrating a scalable RGB-D sensor network based on retroreflective ArUco markers and the iterative closest point (ICP) scheme. We demonstrate the system by calibrating a sensor network comprised of six sensor nodes positioned in...

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Detalles Bibliográficos
Autores principales: Aalerud, Atle, Dybedal, Joacim, Hovland, Geir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479303/
https://www.ncbi.nlm.nih.gov/pubmed/30935144
http://dx.doi.org/10.3390/s19071561

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479303/
https://www.ncbi.nlm.nih.gov/pubmed/30935144
http://dx.doi.org/10.3390/s19071561

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