Intensity and Feature Based Stereo Matching by Disparity Parameterization

  • Authors:
  • Guo-Qing Wei;Gerd Hirzinger

  • Affiliations:
  • -;-

  • Venue:
  • ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
  • Year:
  • 1998

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Abstract

In this paper, we propose a new solution to the stereo correspondence problem by including features in intensity based matching. The features we use are intensity gradients in both the x and y directions of the left and the deformed right images. Although a uniform smoothness constraint is still used, it is never-the-less applied only to non-feature regions. To avoid local minima in function minimization, we propose to parameterize the disparity function by hierarchical Gaussians. A simple stochastic gradient method is used to estimate the Gaussian weights. Experiments with various real stereo images show robust performances.