The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.11 - November (1998 vol.20)
pp: 1143-1160
ABSTRACT
<p><b>Abstract</b>—In this paper, we propose a stereo correspondence method by minimizing intensity and gradient errors simultaneously. In contrast to conventional use of image gradients, the gradients are applied in the <it>deformed</it> image space. Although a uniform smoothness constraint is imposed, it is applied only to nonfeature regions. To avoid local minima in the function minimization, we propose to parameterize the disparity function by hierarchical Gaussians. Both the uniqueness and the ordering constraints can be easily imposed in our minimization framework. Besides, we propose a method to estimate the disparity map and the camera response difference parameters simultaneously. Experiments with various real stereo images show robust performances of our algorithm.</p>
INDEX TERMS
Stereo matching, intensity values, intensity gradients, deformation, scale-space, hierarchical Gaussians, ordering constraint, stochastic gradients, response difference compensation.
CITATION
Guo-Qing Wei, Wilfried Brauer, Gerd Hirzinger, "Intensity- and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.20, no. 11, pp. 1143-1160, November 1998, doi:10.1109/34.730551
13 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool