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On the relationship between multi-view data capturing and quality of rendered virtual view.

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Title: On the relationship between multi-view data capturing and quality of rendered virtual view.
Authors: Liu, S.-X.1,2, An, P.1,2 anping@shu.edu.cn, Zhang, Z.-Y.1,2, Zhang, Q.1,2, Shen, L.-Q.1,2, Jiang, G.-Y.3
Source: Imaging Science Journal. 2009, Vol. 57 Issue 5, p250-259. 10p. 6 Color Photographs, 3 Diagrams, 3 Charts, 1 Graph.
Subjects: Integral theorems, Cameras, Virtual reality, Three-dimensional imaging, Data entry
Abstract: According to the Nyquist sampling theorem, a large number of sampled images and small intervals between capturing cameras should be met for rendering high quality virtual views without aliasing, which is hard to realize in practice. Therefore, achieving a balance between multi-view data capturing and quality of the rendered view remains as open problems. To solve this problem, we analysed the spectral bounds of the scene and designed a reconstruction filter. A proper number for rendering and a three-dimensional surface describing the relation between multi-view data capturing and quality of the rendered view were derived. Experimental results for both the modelled scene and the real scene show that only about 20% of sample images are needed compared with Nyquist sampling, while the quality of the rendered view remains higher than that of a Nyquist sampled comparison. [ABSTRACT FROM AUTHOR]
Copyright of Imaging Science Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22Imaging+Science+Journal%22">Imaging Science Journal</searchLink>. 2009, Vol. 57 Issue 5, p250-259. 10p. 6 Color Photographs, 3 Diagrams, 3 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Integral+theorems%22">Integral theorems</searchLink><br /><searchLink fieldCode="DE" term="%22Cameras%22">Cameras</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Data+entry%22">Data entry</searchLink>
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  Data: According to the Nyquist sampling theorem, a large number of sampled images and small intervals between capturing cameras should be met for rendering high quality virtual views without aliasing, which is hard to realize in practice. Therefore, achieving a balance between multi-view data capturing and quality of the rendered view remains as open problems. To solve this problem, we analysed the spectral bounds of the scene and designed a reconstruction filter. A proper number for rendering and a three-dimensional surface describing the relation between multi-view data capturing and quality of the rendered view were derived. Experimental results for both the modelled scene and the real scene show that only about 20% of sample images are needed compared with Nyquist sampling, while the quality of the rendered view remains higher than that of a Nyquist sampled comparison. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Imaging Science Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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