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High-quality holographic stereogram generation using four RGBD images

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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 ($7 \times 7$).

© 2020 Optical Society of America

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Supplementary Material (4)

NameDescription
Visualization 1       Holographic stereogram computed from 200 synthesized views with 4 input images. Hogel size of 500um.
Visualization 2       Holographic stereogram computed from 200 synthesized views with 8 input images. Hogel size of 500um
Visualization 3       Holographic stereogram computed from 500 views from a photogrammetric mesh. Hogel size of 500um.
Visualization 4       Holographic stereogram computed from 768 synthesized views with 4 input images. Hogel size of 250um.

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