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Reseach Article

Investigating the performance of Correspondence Algorithms in Vision based Driver-assistance in Indoor Environment

by F. Mahmood, Syed M. B. Haider, F. Kunwar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 9
Year of Publication: 2012
Authors: F. Mahmood, Syed M. B. Haider, F. Kunwar
10.5120/9718-3663

F. Mahmood, Syed M. B. Haider, F. Kunwar . Investigating the performance of Correspondence Algorithms in Vision based Driver-assistance in Indoor Environment. International Journal of Computer Applications. 60, 9 ( December 2012), 6-12. DOI=10.5120/9718-3663

@article{ 10.5120/9718-3663,
author = { F. Mahmood, Syed M. B. Haider, F. Kunwar },
title = { Investigating the performance of Correspondence Algorithms in Vision based Driver-assistance in Indoor Environment },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 9 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number9/9718-3663/ },
doi = { 10.5120/9718-3663 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:06:05.073818+05:30
%A F. Mahmood
%A Syed M. B. Haider
%A F. Kunwar
%T Investigating the performance of Correspondence Algorithms in Vision based Driver-assistance in Indoor Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 9
%P 6-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the experimental comparison of fourteen stereo matching algorithms in variant illumination conditions. Different adaptations of global and local stereo matching techniques are chosen for evaluation The variant strength and weakness of the chosen correspondence algorithms are explored by employing the methodology of the prediction error strategy. The algorithms are gauged on the basis of their performance on real world data set taken in various indoor lighting conditions and at different times of the day.

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Index Terms

Computer Science
Information Sciences

Keywords

Performance Indoor Lighting Correspondence Algorithms