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Conference papers

Plane-Based Calibration for Linear Cameras

Jamil Drareni 1, * Peter Sturm 1 Sébastien Roy 2
* Corresponding author
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
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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Submitted on : Tuesday, September 16, 2008 - 10:35:59 AM
Last modification on : Tuesday, October 19, 2021 - 11:13:07 PM
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  • HAL Id : inria-00321895, version 1


Jamil Drareni, Peter Sturm, Sébastien Roy. Plane-Based Calibration for Linear Cameras. OMNIVIS 2008 - 8th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, Rahul Swaminathan and Vincenzo Caglioti and Antonis Argyros, Oct 2008, Marseille, France. ⟨inria-00321895⟩



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