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Comparison of methods for geometric camera calibration

Hieronymus, Jan (2012) Comparison of methods for geometric camera calibration. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.. XXIInd ISPRS Congress, 2012-08-25 - 2012-09-01, Melbourne, Australien. doi: 10.5194/isprsarchives-XXXIX-B5-595-2012. (nicht veröffentlicht)

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Kurzfassung

Methods for geometric calibration in close-range photogrammetry are established and well investigated. The most common one is based on larger test fields with well known pattern, which are observed from different directions during the calibration process. The parameters of a distortion model are calculated using bundle-block-adjustment. This methods works well for short focal lengths as used in close-range photogrammetry. It is essentially more problematic to use this method with large focal lengths, because they would require very large test fields and surrounding space. To overcome this problem, there is another common method for calibration used in remote sensing. It employs measurements using collimator and gimbal (pan-tilt-table). A third calibration method uses diffractive optical elements (DOE) to project holograms of well known patterns, which can be observed by a camera. It is of great interest, to compare these three calibration methods. In particular the accuracy of each method should be investigated. We calibrated one camera with the three methods mentioned above: Test field calibration as used in close-range photogrammetry, collimator-gimbal-calibration as used in remote sensing and a DOE based calibration. The test field data was evaluated using bundle-block-adjustment-algorithms implemented in Australis and is regarded as the reference. The two other calibration methods were evaluated using self implemented algorithms. All methods provide a set of distortion correction parameters as used by Australis, which is a reduced set of the parameters suggested by Duane C. Brown. The resulting parameters are very similar for all investigated methods. The three sets of distortion parameters are used as constant parameters in a bundle-block-adjustment-process. Only the exterior orientation is adjusted. The remaining RMS of the image coordinate residuals are taken as a measure of quality for each calibration method. This measure shows no significant differences across the different calibration methods. This means, that all methods can be used for accurate calibration. It can be concluded, that long focal length cameras can be geometrically calibrated with sufficient accuracy using collimator-gimbal-calibration or DOE based calibration and distortion models known from close-range photogrammetry.

elib-URL des Eintrags:https://elib.dlr.de/77233/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Comparison of methods for geometric camera calibration
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hieronymus, Janjan.hieronymus (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:September 2012
Erschienen in:Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.5194/isprsarchives-XXXIX-B5-595-2012
Status:nicht veröffentlicht
Stichwörter:Geometric Camera Calibration, Distortion Modelling, Accuracy Comparison, Algorithms ...
Veranstaltungstitel:XXIInd ISPRS Congress
Veranstaltungsort:Melbourne, Australien
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:25 August 2012
Veranstaltungsende:1 September 2012
Veranstalter :ISPRS
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Optische Systeme (alt), R - Vorhaben Optische Sensortechnologien (alt), R - Vorhaben Optische Informationssysteme (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Optische Informationssysteme
Hinterlegt von: Dombrowski, Ute
Hinterlegt am:11 Sep 2012 09:34
Letzte Änderung:24 Apr 2024 19:43

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