Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree

In this paper, an algorithm to improve image stabilization process in 3D for multiple camera viewpoints from different angle is developed. It can automatically simplify the region of interest with unique key-points matching. Harris Laplace corner detection has been used to find accurate matching key...

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Main Authors:	Bhuiyan, Sharif Shah Newaj, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English English
Published:	Kulliyyah of Engineering, International Islamic University Malaysia 2018
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/68113/ http://irep.iium.edu.my/68113/ http://irep.iium.edu.my/68113/ http://irep.iium.edu.my/68113/1/68113_Robust%20Automatic%20Multi-Camera%20Viewpoint.pdf http://irep.iium.edu.my/68113/7/68113_Robust%20automatic%20multi-camera%20viewpoint_SCOPUS.pdf

id	iium-68113
recordtype	eprints
spelling	iium-681132019-02-13T11:03:09Z http://irep.iium.edu.my/68113/ Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran T10.5 Communication of technical information In this paper, an algorithm to improve image stabilization process in 3D for multiple camera viewpoints from different angle is developed. It can automatically simplify the region of interest with unique key-points matching. Harris Laplace corner detection has been used to find accurate matching key points for different photometric changes, scaling in images. Spanning tree has been used to improve the connectivity of correct matching pairs by minimizing the global error value. Spanning tree is the key for stabilized randomly positioned camera viewpoints. It always gives successful stabilization output. This process doesn’t need to analyze the key-points twice. The results show that the proposed algorithm can process more than 120 camera viewpoints in less than two (<2) seconds. It shows a great consistency for different image sets for different viewpoints of cameras. Kulliyyah of Engineering, International Islamic University Malaysia 2018-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/68113/1/68113_Robust%20Automatic%20Multi-Camera%20Viewpoint.pdf application/pdf en http://irep.iium.edu.my/68113/7/68113_Robust%20automatic%20multi-camera%20viewpoint_SCOPUS.pdf Bhuiyan, Sharif Shah Newaj and Khalifa, Othman Omran (2018) Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539318 10.1109/ICCCE.2018.8539318
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
description	In this paper, an algorithm to improve image stabilization process in 3D for multiple camera viewpoints from different angle is developed. It can automatically simplify the region of interest with unique key-points matching. Harris Laplace corner detection has been used to find accurate matching key points for different photometric changes, scaling in images. Spanning tree has been used to improve the connectivity of correct matching pairs by minimizing the global error value. Spanning tree is the key for stabilized randomly positioned camera viewpoints. It always gives successful stabilization output. This process doesn’t need to analyze the key-points twice. The results show that the proposed algorithm can process more than 120 camera viewpoints in less than two (<2) seconds. It shows a great consistency for different image sets for different viewpoints of cameras.
format	Conference or Workshop Item
author	Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran
author_facet	Bhuiyan, Sharif Shah Newaj Khalifa, Othman Omran
author_sort	Bhuiyan, Sharif Shah Newaj
title	Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
title_short	Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
title_full	Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
title_fullStr	Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
title_full_unstemmed	Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree
title_sort	robust automatic multi-camera viewpoint stabilization using harris laplace corner detection and spanning tree
publisher	Kulliyyah of Engineering, International Islamic University Malaysia
publishDate	2018
url	http://irep.iium.edu.my/68113/ http://irep.iium.edu.my/68113/ http://irep.iium.edu.my/68113/ http://irep.iium.edu.my/68113/1/68113_Robust%20Automatic%20Multi-Camera%20Viewpoint.pdf http://irep.iium.edu.my/68113/7/68113_Robust%20automatic%20multi-camera%20viewpoint_SCOPUS.pdf
first_indexed	2023-09-18T21:36:40Z
last_indexed	2023-09-18T21:36:40Z
_version_	1777412866979135488

Robust automatic multi-camera viewpoint stabilization using Harris laplace corner detection and spanning tree

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