In this paper, we propose a new solution to the stereo correspondence problem by including features an 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 nevertheless 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.
Intensity and feature based stereo matching by disparity parameterization
01.01.1998
1199369 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Intensity and Feature Based Stereo Matching by Disparity Parameterization
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