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Reseach Article

Performance Evaluation of Stereo Matching Algorithms in the Lack of Visual Features

by Mohammed Ouali
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 5
Year of Publication: 2012
Authors: Mohammed Ouali
10.5120/8415-0636

Mohammed Ouali . Performance Evaluation of Stereo Matching Algorithms in the Lack of Visual Features. International Journal of Computer Applications. 53, 5 ( September 2012), 7-11. DOI=10.5120/8415-0636

@article{ 10.5120/8415-0636,
author = { Mohammed Ouali },
title = { Performance Evaluation of Stereo Matching Algorithms in the Lack of Visual Features },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 5 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number5/8415-0636/ },
doi = { 10.5120/8415-0636 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:20.084487+05:30
%A Mohammed Ouali
%T Performance Evaluation of Stereo Matching Algorithms in the Lack of Visual Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 5
%P 7-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we evaluate three different subcategories of image matching algorithms. We consider hierarchical matching, wavelet-based localized correlation and multiresolution subregioning. The importance of this evaluation stems from the fact that these algorithms are all somehow based on a multiresolution scheme, but exhibit different performances when dealing with featureless image pairs, noisy image pairs, or when tuned to different parameters, e. g. the number of resolution levels and the size of the correlation size. We also consider the use of different correlation functions. A data set has been built using random dots stereograms, with a full range of disparities and a controlled amount of noise. The algorithms performances are benchmarked in terms of accuracy and global coherence of the disparity maps.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Stereo matching performance evaluation wavelets-based design window-based matching algorithm hierarchical algorithms