International Journal of Computer Vision

, Volume 35, Issue 2, pp 115–127

Theory and Practice of Projective Rectification

  • Richard I. Hartley

DOI: 10.1023/A:1008115206617

Cite this article as:
Hartley, R.I. International Journal of Computer Vision (1999) 35: 115. doi:10.1023/A:1008115206617


This paper gives a new method for image rectification, the process of resampling pairs of stereo images taken from widely differing viewpoints in order to produce a pair of “matched epipolar projections”. These are projections in which the epipolar lines run parallel with the x-axis and consequently, disparities between the images are in the x-direction only. The method is based on an examination of the fundamental matrix of Longuet-Higgins which describes the epipolar geometry of the image pair. The approach taken is consistent with that advocated by Faugeras (1992) of avoiding camera calibration. The paper uses methods of projective geometry to determine a pair of 2D projective transformations to be applied to the two images in order to match the epipolar lines. The advantages include the simplicity of the 2D projective transformation which allows very fast resampling as well as subsequent simplification in the identification of matched points and scene reconstruction.

rectificationprojective transformationfundamental matrixquasi-affine

Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • Richard I. Hartley
    • 1
  1. 1.G.E. CRDSchenectady