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|a 10.1109/TVCG.2023.3320248
|2 doi
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|a eng
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| 100 |
1 |
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|a Ishikawa, Reina
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Multi-Layer Scene Representation from Composed Focal Stacks
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| 264 |
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|c 2023
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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| 500 |
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|a Date Revised 03.11.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Multi-layer images are a powerful scene representation for high-performance rendering in virtual/augmented reality (VR/AR). The major approach to generate such images is to use a deep neural network trained to encode colors and alpha values of depth certainty on each layer using registered multi-view images. A typical network is aimed at using a limited number of nearest views. Therefore, local noises in input images from a user-navigated camera deteriorate the final rendering quality and interfere with coherency over view transitions. We propose to use a focal stack composed of multi-view inputs to diminish such noises. We also provide theoretical analysis for ideal focal stacks to generate multi-layer images. Our results demonstrate the advantages of using focal stacks in coherent rendering, memory footprint, and AR-supported data capturing. We also show three applications of imaging for VR
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| 650 |
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4 |
|a Journal Article
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| 700 |
1 |
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|a Saito, Hideo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kalkofen, Denis
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mori, Shohei
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 29(2023), 11 vom: 02. Nov., Seite 4719-4729
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
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|g volume:29
|g year:2023
|g number:11
|g day:02
|g month:11
|g pages:4719-4729
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|u http://dx.doi.org/10.1109/TVCG.2023.3320248
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|d 29
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