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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6479303/ https://ncbi.nlm.nih.gov/pubmed/30935144 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071561 |
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