Single Camera Calibration in 3D Vision

  • Caius Suliman Transilvania University of Brasov
  • Dan Puiu Transilvania University of Brasov
  • Florin Moldoveanu Transilvania University of Brasov
Keywords: camera calibration, 3D vision, calibration pattern, intrinsic parameters, extrinsic parameters

Abstract

Camera calibration is a necessary step in 3D vision in order to extract metric information from 2D images. A camera is considered to be calibrated when the parameters of the camera are known (i.e. principal distance, lens distorsion, focal length etc.). In this paper we deal with a single camera calibration method and with the help of this method we try to find the intrinsic and extrinsic camera parameters. The method was implemented with succes in the programming and simulation environment Matlab.

Published
2009-11-30
How to Cite
1.
Suliman C, Puiu D, Moldoveanu F. Single Camera Calibration in 3D Vision. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 30Nov.2009 [cited 1May2024];32(2):69-2. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/642
Section
Articles

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.