Intensity and Feature Based Stereo Matching by Disparity Parametrization
Abstract
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.
Cite
Text
Wei and Hirzinger. "Intensity and Feature Based Stereo Matching by Disparity Parametrization." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710844Markdown
[Wei and Hirzinger. "Intensity and Feature Based Stereo Matching by Disparity Parametrization." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/wei1998iccv-intensity/) doi:10.1109/ICCV.1998.710844BibTeX
@inproceedings{wei1998iccv-intensity,
title = {{Intensity and Feature Based Stereo Matching by Disparity Parametrization}},
author = {Wei, Guo-Qing and Hirzinger, Gerd},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1998},
pages = {1035-1040},
doi = {10.1109/ICCV.1998.710844},
url = {https://mlanthology.org/iccv/1998/wei1998iccv-intensity/}
}