Comparisons of Perceived Images in Multiview and Integral Photography Based Three-Dimensional Imaging Systems
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概要
- 論文の詳細を見る
The imaging properties of multiview and integral photography based three-dimensional imaging systems are compared on the basis of their viewing-zone-forming principles. It is confirmed that 1) the images projected to the viewers' eyes in IP and the multiview have a conjugate relationship between them and 2) the quality of the image projected to viewers' eyes in integral photography will be increased if the image resolution of each lenslet in the microlens plate is minimized by reducing the field of the view angle of the microlens plate and the number of lenslets in the plate is increased.
- Published by the Japan Society of Applied Physics through the Institute of Pure and Applied Physicsの論文
- 2007-03-15
著者
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Son Jung-young
Department Of Computer And Communication Engineering Daegu University
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Park Min-chul
System Technology Div. Korea Institute Of Science And Technology
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Kim Kyung-tae
Department Of Information And Communication Hannam University
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Kim Sung-kyu
System Technology Div. Korea Institute Of Science And Technology
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Son Jung-Young
Department of Computer and Communication Engineering, Daegu University, Daegu 712-714, Korea
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Saveljev Vladimir
Department of Computer and Communication Engineering, Daegu University, Daegu 712-714, Korea
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Kim Sung-Kyu
System Technology Div., Korea Institute of Science and Technology, Seoul 130-650, Korea
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Saveljev Vladmir
Department of Computer and Communication Engineering, Daegu University, Daegu 712-714, Korea
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Park Min-Chul
System Technology Div., Korea Institute of Science and Technology, Seoul 130-650, Korea
関連論文
- Comparisons of Perceived Images in Multiview and Integral Photography Based Three-Dimensional Imaging Systems
- Pixel Patterns for Voxels in Contact-Type Three Dimensional Imaging Systems
- Comparisons of Perceived Images in Multiview and Integral Photography Based Three-Dimensional Imaging Systems
- Three-Dimensional Object Reconstruction and Recognition Using Computational Integral Imaging and Statistical Pattern Analysis