Correcting Radial Lens Distortion Using Image and Point Correspondences

  • Leonardo Romero
  • Felix Calderon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

This paper describes two new methods for lens distortion calibration using image and point correspondences. Images (or feature points) captured by a camera are undistorted and projected into a calibration pattern image. Both methods apply the Gauss–Newton–Levenberg–Marquardt non–linear optimization technique to match, in one case, the camera image and the pattern image, and in the other case, selected point correspondences from the camera image to the pattern image. One way to automatically find good point correspondences is presented. Experimental results compare the performance of both methods and show better results using point to point correspondences.

Keywords

Camera Image Pattern Image Point Correspondence Lens Distortion Radial Distortion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Leonardo Romero
    • 1
  • Felix Calderon
    • 1
  1. 1.UMSNHMoreliaMexico

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