Multiview geometry in traditional vision and omnidirectional vision under the L∞-norm
Multiview geometry in traditional vision and omnidirectional vision under the L∞-norm
- Author(s): L. Zhang ; Y. Hu ; J. Zhang ; Y. Li
- DOI: 10.1049/iet-cvi.2010.0111
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- Author(s): L. Zhang 1, 2 ; Y. Hu 1, 2 ; J. Zhang 3 ; Y. Li 4
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View affiliations
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Affiliations:
1: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
2: Chinese University of Hong Kong, Hong Kong, People's Republic of China
3: TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany
4: Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, People's Republic of China
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Affiliations:
1: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China
- Source:
Volume 6, Issue 1,
January 2012,
p.
13 – 20
DOI: 10.1049/iet-cvi.2010.0111 , Print ISSN 1751-9632, Online ISSN 1751-9640
© The Institution of Engineering and Technology
Published
This study presents a review of multiview geometry problems in traditional vision and omnidirectional vision under the L∞-norm. The main advantage of this approach is a theoretical guarantee of global optimality. First, three core problems in multiview geometry in traditional vision are formulated as second-order cone programming feasibility problems. The extension of L∞-norm approach for multiview geometry from traditional vision to omnidirectional vision is shown by three models, a mirror model, a sphere model and a cylinder model. Finally, the authors assess their potential for future deployment and present directions for future research.
Inspec keywords: computer vision
Other keywords:
Subjects: Optical, image and video signal processing; Computer vision and image processing techniques
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