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Plane-Based Calibration for Linear Cameras

Jamil Drareni 1, 2 Sébastien Roy 2 Peter Sturm 1
1 PERCEPTION [2007-2015] - Interpretation and Modelling of Images and Videos [2007-2015]
Inria Grenoble - Rhône-Alpes, LJK [2007-2015] - Laboratoire Jean Kuntzmann [2007-2015], Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
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.
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https://hal.inria.fr/inria-00523994
Contributor : Peter Sturm <>
Submitted on : Wednesday, October 6, 2010 - 7:10:03 PM
Last modification on : Thursday, July 23, 2020 - 10:02:02 AM

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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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