View/ Open
Date
2021-08-11Subject
600 Technology InfrarotkameraKalibrieren <Messtechnik>Geometrische OptikBilderkennungMustererkennungxmlui.dri2xhtml.METS-1.0.item-supplement
doi:10.5281/zenodo.4596313Metadata
Show full item record
Aufsatz
Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras
Abstract
The geometric calibration of cameras becomes necessary when images should be undistorted, geometric image information is needed or data from more than one camera have to be fused. This process is often done using a target with a checkerboard or circular pattern and a given geometry. In this work, a coded checkerboard target for thermal imaging cameras and the corresponding image processing algorithm for iterative feature detection are presented. It is shown that, due in particular to the resulting better feature detectability at image borders, lower uncertainties in the estimation of the distortion parameters are achieved.
Citation
In: Journal of Sensors and Sensor Systems (JSSS) Volume 10 / Issue 2 (2021-08-11) , S. 207-218 ; eissn:2194-878XSponsorship
Gefördert durch den Publikationsfonds der Universität Kassel; This research has been supported by the Bundesministerium für Wirtschaft und Energie (grant no. FKZ 03THW10K26).Citation
@article{doi:10.17170/kobra-202110084866,
author={Schramm, Sebastian and Ebert, Jannik and Rangel, Johannes and Schmoll, Robert and Kroll, Andreas},
title={Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras},
journal={Journal of Sensors and Sensor Systems (JSSS)},
year={2021}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2021$n2021 1500 1/eng 2050 ##0##http://hdl.handle.net/123456789/13307 3000 Schramm, Sebastian 3010 Ebert, Jannik 3010 Rangel, Johannes 3010 Schmoll, Robert 3010 Kroll, Andreas 4000 Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras / Schramm, Sebastian 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/13307=x R 4204 \$dAufsatz 4170 5550 {{Infrarotkamera}} 5550 {{Kalibrieren <Messtechnik>}} 5550 {{Geometrische Optik}} 5550 {{Bilderkennung}} 5550 {{Mustererkennung}} 7136 ##0##http://hdl.handle.net/123456789/13307
2021-10-20T09:30:09Z 2021-10-20T09:30:09Z 2021-08-11 doi:10.17170/kobra-202110084866 http://hdl.handle.net/123456789/13307 Gefördert durch den Publikationsfonds der Universität Kassel; This research has been supported by the Bundesministerium für Wirtschaft und Energie (grant no. FKZ 03THW10K26). eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ 600 Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras Aufsatz The geometric calibration of cameras becomes necessary when images should be undistorted, geometric image information is needed or data from more than one camera have to be fused. This process is often done using a target with a checkerboard or circular pattern and a given geometry. In this work, a coded checkerboard target for thermal imaging cameras and the corresponding image processing algorithm for iterative feature detection are presented. It is shown that, due in particular to the resulting better feature detectability at image borders, lower uncertainties in the estimation of the distortion parameters are achieved. open access Schramm, Sebastian Ebert, Jannik Rangel, Johannes Schmoll, Robert Kroll, Andreas doi:10.5194/jsss-10-207-2021 doi:10.5281/zenodo.4596313 grant no. FKZ 03THW10K26 Infrarotkamera Kalibrieren <Messtechnik> Geometrische Optik Bilderkennung Mustererkennung publishedVersion eissn:2194-878X Issue 2 Journal of Sensors and Sensor Systems (JSSS) 207-218 Volume 10 false
The following license files are associated with this item: