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

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

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.

Zitieren

Zitierform:

Schramm, Sebastian / Ebert, Jannik / Rangel, Johannes / et al: Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras. 2021. Copernicus Publications.

Zugriffsstatistik

Gesamt:
Volltextzugriffe:
Metadatenansicht:
12 Monate:
Volltextzugriffe:
Metadatenansicht:

Grafik öffnen

Rechte

Rechteinhaber: Sebastian Schramm et al.

Nutzung und Vervielfältigung:

Export