Vanishing Point Detection in the Hough Transform Space

  • Andrea Matessi
  • Luca Lombardi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1685)


Depth estimation from monocular images can be retrieved from the perspective distortion. One major effect of this distortion is that a set of parallel lines in the real world converges into a single point in the image plane. The estimation of the co-ordinates of the vanishing point can be retrieved directly on the Hough Transformation space or polar plane. In fact the vanishing point in the image plane is mapped in the polar plane into a sine curve that can be estimated with a simple linear system.


Image Plane Polar Plane Depth Estimation Perspective Projection Hough Transform 
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.


  1. 1.
    H. Nakatani, S. Kimura, O. Saito, T. Kitahashi, Extraction of vanishing point and its application to scene analysis based on image sequence, Proceedings of 5th International Conference on Pattern Recognition, 1980, pp. 370–372.Google Scholar
  2. 2.
    H.A. Sedgwick, Environment-Centered Representation of Spatial Layout: Available Visual Information from Texture and Perspective, in: J. Beck, B. Hope and A. Rosenfeld (Eds.), Human and Machine Vision, Accademic Press, New York (1983), pp. 425–428.Google Scholar
  3. 3.
    M.J. Magee and J.K. Aggarwal, Determining vanishing points from perspective images, Computer Vision, Graphics, and Image Processing, vol. 26, pp.256–267, 1984.Google Scholar
  4. 4.
    B. Brillault and O’ Mahony, New method for vanishing points detection, CVGIP: Image Understanding, vol. 54, no.2, pp. 289–300, 1991.Google Scholar
  5. 5.
    P. Parodi and G. Piccioli, 3D shape reconstruction by using vanishing points, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 2, 1996.Google Scholar
  6. 6.
    P.V. Hough, Methods and means to recognize complex pattern. U.S. Patent 3,069,654, 1962.Google Scholar
  7. 7.
    D. Ballard and C. Brown, Computer Vision. Prentice-Hall, Englewood Cliffs, NJ, 1982.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Andrea Matessi
    • 1
  • Luca Lombardi
    • 1
  1. 1.Dipartimento di Informatica e SistemisticaUniversity of PaviaPaviaItaly

Personalised recommendations