Landmark-Based Stereo Vision

  • Giovanni B. Garibotto
  • Marco Corvi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)


The paper refers an industrial solution to 3D measurements to be used in security application. The basic assumption of the proposed solution is the visibility of a 3D reference system in the imaged scene. The corresponding vanishing points are used as stereo point pairs at infinity, to compute the rotation between the two stereo views. To achieve a metric reconstruction, the proposed approach relies on the presence in the scene of an artificial landmark having an orthogonal triangular shape with sides of one meter length.. Reflecting cylinders are positioned at the corners and along the sides at equally spaced distances. They represent the initial stereo correspondence for system calibration. This approach has been implemented in a prototype product for the planar reconstruction in case of car accidents using a digital camera. The software application provides a simple and user-friendly interface to the process. The measure errors are always within 2 % (with a 4Mp camera).


Computer Vision camera calibration 3D stereovision perspective invariants 


  1. 1.
  2. 2.
    Cipolla, R., Robertson, D.P., Boyer, E.G.: Photobuilder-3 Models of Architectural Scenes from Uncalibrated Images. In: Proc. IEEE Int. Conf Multimedia Computing and Systems ICMCS 1999, vol. 1, pp. 25–31 (1999)Google Scholar
  3. 3.
    Galvin, B.: Photogrammetry: fast crime-scene measuring with close-range photogrammetry. Evidence Tech. Magazine (September 2004),
  4. 4.
    Garibotto, G., Corvi, M., Cibei, C., Sciarrino, S.: 3D-MODS, Moving Obstacle Detection System. In: Proc. Int. Conf. on Image Analysis & Processing, ICIAP 2003, Mantova (2003)Google Scholar
  5. 5.
    Faugeras, O.D.: Three-Dimensional Computer Vision, A geometrical viewpoint. MIT press, Cambridge (1996)Google Scholar
  6. 6.
    Torr, P.H.S., Murray, D.W.: Int J. Computer Vision, vol. 24, pp. 271–300 (1997)Google Scholar
  7. 7.
    Bas, E.K., Crisman, J.D.: An easy to installa camera calibration for traffic monitoring. In: Proc. Of IEEE Conf. On Intelligent Transportation Systems, pp. 362–366 (1997)Google Scholar
  8. 8.
    Caprile, B., Torre, V.: Using Vanishing Points for Camera Calibration. Int. J. Computer Vision 4(2), 127–140 (1990)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Giovanni B. Garibotto
    • 1
  • Marco Corvi
    • 1
  1. 1.Elsag spaGenovaItaly

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