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Segment Controlled Window Shape to Compute Disparity Map from Stereo Images

Published on December 2011 by Rachna, H.S. Singh, A. K. Verma
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 4
December 2011
Authors: Rachna, H.S. Singh, A. K. Verma
61781fea-bd3f-4a0d-a5ce-688d4bae59ca

Rachna, H.S. Singh, A. K. Verma . Segment Controlled Window Shape to Compute Disparity Map from Stereo Images. International Conference on Electronics, Information and Communication Engineering. ICEICE, 4 (December 2011), 38-41.

@article{
author = { Rachna, H.S. Singh, A. K. Verma },
title = { Segment Controlled Window Shape to Compute Disparity Map from Stereo Images },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 4 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 38-41 },
numpages = 4,
url = { /specialissues/iceice/number4/4278-iceice032/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Rachna
%A H.S. Singh
%A A. K. Verma
%T Segment Controlled Window Shape to Compute Disparity Map from Stereo Images
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 4
%P 38-41
%D 2011
%I International Journal of Computer Applications
Abstract

Stereo correspondence mapping is the fundamental problem to achieve human like vision capabilities to machines and robots. Many local and global algorithms have been reported in literature in the last decade. Window-based cost aggregation methods for solving the correspondence problem have attracted researches as it can be implemented in real time using parallel processors. In this paper a new window-based stereo matching algorithm with segment controlled window at each pixel to compute disparity map has been proposed. The proposed method uses sum of square difference correlation function on the window. In the proposed algorithm, pixels of square window which lie on the same segment to which the center pixel belongs are only considered while creating the window. Further, left-right consistency check is applied to generate disparity map taking full advantage of speed and simplicity of window based method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

stereo vision correspondence disparity correlation segmentation