Plane-Based Calibration for Linear Cameras

  • Authors:
  • Jamil Draréni;Sébastien Roy;Peter Sturm

  • Affiliations:
  • Département d'Informatique et Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7;Département d'Informatique et Recherche Opérationnelle, Université de Montréal, Montréal, Canada H3C 3J7;INRIA Rhône-Alpes, Montbonnot, France 38330

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2011

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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.