Proceedings of the International Seminar on Computation, Communication and Control

Improved Adaptive Support-weight Algorithm Based on Guide filtering and Disparity calibration

Authors
Xiao JingWen, Wan Min, Wu Yao
Corresponding Author
Xiao JingWen
Available Online March 2015.
DOI
https://doi.org/10.2991/is3c-15.2015.4How to use a DOI?
Keywords
Binocular vision system; Stereo matching; Adaptive support-weight; Guided filtering; Disparity calibration
Abstract
A novel local stereo matching method based on guided filtering and disparity calibration was presented in this paper. Firstly, the three dimensional cost volume was built by computing initial matching costs at given disparity values, and it was enhanced with guided filtering to preserve edge information effectively and improve operational efficiency; secondly, a disparity calibration approach was designed to refine the initial disparity, so the matching accuracy can be further improved. Experimental results on Middlebury dataset demonstrate that this proposed technique can obtain accurate and dense disparity map while eliminating effectively matching ambiguity, without affecting the running speed.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Seminar on Computation, Communication and Control (IS3C-15)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-55-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/is3c-15.2015.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiao JingWen
AU  - Wan Min
AU  - Wu Yao
PY  - 2015/03
DA  - 2015/03
TI  - Improved Adaptive Support-weight Algorithm Based on Guide filtering and Disparity calibration
BT  - International Seminar on Computation, Communication and Control (IS3C-15)
PB  - Atlantis Press
SP  - 15
EP  - 18
SN  - 2352-538X
UR  - https://doi.org/10.2991/is3c-15.2015.4
DO  - https://doi.org/10.2991/is3c-15.2015.4
ID  - JingWen2015/03
ER  -