Dowe Really Need an Accurate Calibration Pattern?
Quelle Précision pour une Mire D'étalonnage?
OPEN ACCESS
The metrology of calibration patterns is often a real problem in computer vision to obtain a reliable estimation of the intrinsic and extrinsic parameters that model a video camera device. In order to take into account these errors a self-calibration method is described, that enables us to compute in the same time the traditional calibration parameters and the 3D geometry of the calibration pattern using a multi-images calibration algorithm. Experimental results shows that the proposed algorithm leads to reliable calibration results and proves that calibration errors no longer depend on the accuracy of calibration point measurement, but on the accuracy of calibration point detection in the image plane .
Résumé
Cet article soulève le problème de l'influence des erreurs introduites par la métrologie d'une mire d'étalonnage sur la détermination des paramètres intrinsèques d'un capteur vidéo . Afin de s'affranchir de ces erreurs, une approche d'autocalibrage est décrite permettant conjointement d'estimer les paramètres internes du capteur vidéo et la géométrie de la mire, au sein d'un formalisme d'étalonnage multi-images . Par la problématique qu'il soulève, cet article cotoie les approches de Shape from Motionetd'Auto-calibragedes capteurs, en gardant cependant la spécificité d'être décrit selon un formalisme photogrammétrique et donc d'intégrer implicitement les aberrations géométriques des objectifs. Nous nous sommes attachés à insister sur l'aspect descriptif de la méthode pour permettre aux lecteurs une vision globale de la mise enoeuvredu procédé.
Camera calibration, Calibration pattern, Photogrammetry, Metrology.
Mots clés
Étalonnage, mire volumique, photogrammétrie, métrologie.
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