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• W3094573644 abstract "To computer-generate high-quality holographic stereograms, a huge number of images must be provided: several hundred for a horizontal parallax and the square of this number for a full parallax. In this paper, we propose to drastically reduce this number to four input images with depth maps (or equivalently, four groups of neighboring images used to compute a depth map) in any pose, in order to create the missing images with depth image-based rendering. We evaluate the view synthesis method objectively before providing visual results of the corresponding holographic stereograms. We believe this method outperforms shearlet-based approaches in objective view synthesis quality metrics and in the number of required input images ( <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML display=inline><mml:mn>7</mml:mn><mml:mo>×<!-- × --></mml:mo><mml:mn>7</mml:mn></mml:math> )." @default.
• W3094573644 created "2020-10-29" @default.
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• W3094573644 date "2020-11-30" @default.
• W3094573644 modified "2023-10-12" @default.
• W3094573644 title "High-quality holographic stereogram generation using four RGBD images" @default.
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• W3094573644 doi "https://doi.org/10.1364/ao.403787" @default.
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