Plane-Based Calibration for Linear Cameras

Jamil Drareni 1, 2 Sébastien Roy 2 Peter Sturm 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Linear or 1D cameras are used in several areas such as industrial inspection and satellite imagery. Since 1D cameras consist of a linear sensor, a motion (usually perpendicular to the sensor orientation) is performed in order to acquire a full image. In this paper, we present a novel linear method to estimate the intrinsic and extrinsic parameters of a 1D camera using a planar object. As opposed to traditional calibration scheme based on 3D-2D correspondences of landmarks, our method uses homographies induced by the images of a planar object. The proposed algorithm is linear, simple and produces good results as shown by our experiments.
Type de document :
Article dans une revue
International Journal of Computer Vision, Springer Verlag, 2011, 91 (2), pp.146-156. 〈10.1007/s11263-010-0349-3〉
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https://hal.inria.fr/inria-00523994
Contributeur : Peter Sturm <>
Soumis le : mercredi 6 octobre 2010 - 19:10:03
Dernière modification le : mercredi 11 avril 2018 - 01:58:44

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Jamil Drareni, Sébastien Roy, Peter Sturm. Plane-Based Calibration for Linear Cameras. International Journal of Computer Vision, Springer Verlag, 2011, 91 (2), pp.146-156. 〈10.1007/s11263-010-0349-3〉. 〈inria-00523994〉

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