Efficient 3D stereo vision stabilization for multi-camera viewpoints

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	4119/72777
Uncontrolled Keywords:	Feature extraction, Image processing, Multi-camera stabilization, Similarity transformation Video rendering
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	25 Jun 2019 15:47
Last Modified:	24 Nov 2019 23:51
URI:	http://irep.iium.edu.my/id/eprint/72777

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