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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1109/TVCG.2017.2756634
|2 doi
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|a pubmed24n0921.xml
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|a eng
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| 100 |
1 |
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|a Chen, Guowen
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Real-Time Lens Based Rendering Algorithm for Super-Multiview Integral Photography without Image Resampling
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| 264 |
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|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Revised 20.11.2019
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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 We propose a computer generated integral photography (CGIP) method that employs a lens based rendering (LBR) algorithm for super-multiview displays to achieve higher frame rates and better image quality without pixel resampling or view interpolation. The algorithm can utilize both fixed and programmable graphics pipelines to accelerate CGIP rendering and inter-perspective antialiasing. Two hardware prototypes were fabricated with two high-resolution liquid crystal displays and micro-lens arrays (MLA). Qualitative and quantitative experiments were performed to evaluate the feasibility of the proposed algorithm. To the best of our knowledge, the proposed LBR method outperforms state-of-the-art CGIP algorithms relative to rendering speed and image quality with our super-multiview hardware configurations. A demonstration experiment was also conducted to reveal the interactivity of a super-multiview display utilizing the proposed algorithm
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Ma, Cong
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Fan, Zhencheng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Cui, Xiwen
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Liao, Hongen
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 24(2018), 9 vom: 01. Sept., Seite 2600-2609
|w (DE-627)NLM098269445
|x 1941-0506
|7 nnns
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| 773 |
1 |
8 |
|g volume:24
|g year:2018
|g number:9
|g day:01
|g month:09
|g pages:2600-2609
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| 856 |
4 |
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|u http://dx.doi.org/10.1109/TVCG.2017.2756634
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