Articles | Volume 10, issue 2
https://doi.org/10.5194/jsss-10-207-2021
https://doi.org/10.5194/jsss-10-207-2021
Regular research article
 | 
11 Aug 2021
Regular research article |  | 11 Aug 2021

Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras

Sebastian Schramm, Jannik Ebert, Johannes Rangel, Robert Schmoll, and Andreas Kroll

Viewed

Total article views: 1,244 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
884 327 33 1,244 38 30
  • HTML: 884
  • PDF: 327
  • XML: 33
  • Total: 1,244
  • BibTeX: 38
  • EndNote: 30
Views and downloads (calculated since 11 Aug 2021)
Cumulative views and downloads (calculated since 11 Aug 2021)

Viewed (geographical distribution)

Total article views: 1,159 (including HTML, PDF, and XML) Thereof 1,159 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Apr 2024
Download
Short summary
During the geometric calibration of infrared cameras, the parameters that describe where object points are mapped onto thermal images are determined. The required reference data is obtained by capturing so-called calibration targets. In established approaches, it is difficult to estimate the lens distortions precisely. A newly developed target and its evaluation algorithm make it possible to increase the sensitivity of the calibration by finding reference points close to image borders.