Efficient 3D stereo vision stabilization for multi-camera viewpoints

In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then...

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Main Authors:	Bhuiyan, Sharif Shah Newaj, Khalifa, Othman Omran
Format:	Article
Language:	English English
Published:	Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section. 2019
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/72777/ http://irep.iium.edu.my/72777/ http://irep.iium.edu.my/72777/ http://irep.iium.edu.my/72777/1/72777_Efficient%203D%20stereo%20vision%20stabilization.pdf http://irep.iium.edu.my/72777/7/72777_Efficient%203D%20stereo%20vision%20stabilization%20for%20multi-camera%20viewpoints_Scopus.pdf

id	iium-72777
recordtype	eprints
spelling	iium-727772019-11-24T15:51:13Z http://irep.iium.edu.my/72777/ Efficient 3D stereo vision stabilization for multi-camera viewpoints Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran T Technology (General) In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then improved the connectivity of correct matching pairs by minimizing the global error using spanning tree algorithm. Tree algorithm helps to stabilize randomly positioned camera viewpoints in linear order. The unique matching key-points will be calculated only once with our method. Then calculated planar transformation will be applied for real time video rendering. The proposed algorithm can process more than 200 camera viewpoints within two seconds. Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section. 2019-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72777/1/72777_Efficient%203D%20stereo%20vision%20stabilization.pdf application/pdf en http://irep.iium.edu.my/72777/7/72777_Efficient%203D%20stereo%20vision%20stabilization%20for%20multi-camera%20viewpoints_Scopus.pdf Bhuiyan, Sharif Shah Newaj and Khalifa, Othman Omran (2019) Efficient 3D stereo vision stabilization for multi-camera viewpoints. Bulletin of Electrical Engineering and Informatics, 8 (3). pp. 882-889. ISSN 2089-3191 E-ISSN 2302-9285 http://journal.portalgaruda.org/index.php/EEI/article/view/1518 10.11591/eei.v8i3.1518
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran Efficient 3D stereo vision stabilization for multi-camera viewpoints
description	In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then improved the connectivity of correct matching pairs by minimizing the global error using spanning tree algorithm. Tree algorithm helps to stabilize randomly positioned camera viewpoints in linear order. The unique matching key-points will be calculated only once with our method. Then calculated planar transformation will be applied for real time video rendering. The proposed algorithm can process more than 200 camera viewpoints within two seconds.
format	Article
author	Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran
author_facet	Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran
author_sort	Bhuiyan, Sharif Shah Newaj
title	Efficient 3D stereo vision stabilization for multi-camera viewpoints
title_short	Efficient 3D stereo vision stabilization for multi-camera viewpoints
title_full	Efficient 3D stereo vision stabilization for multi-camera viewpoints
title_fullStr	Efficient 3D stereo vision stabilization for multi-camera viewpoints
title_full_unstemmed	Efficient 3D stereo vision stabilization for multi-camera viewpoints
title_sort	efficient 3d stereo vision stabilization for multi-camera viewpoints
publisher	Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section.
publishDate	2019
url	http://irep.iium.edu.my/72777/ http://irep.iium.edu.my/72777/ http://irep.iium.edu.my/72777/ http://irep.iium.edu.my/72777/1/72777_Efficient%203D%20stereo%20vision%20stabilization.pdf http://irep.iium.edu.my/72777/7/72777_Efficient%203D%20stereo%20vision%20stabilization%20for%20multi-camera%20viewpoints_Scopus.pdf
first_indexed	2023-09-18T21:43:09Z
last_indexed	2023-09-18T21:43:09Z
_version_	1777413274868908032

Efficient 3D stereo vision stabilization for multi-camera viewpoints

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