24 May 2018 Advanced mobile three-dimensional display based on computer-generated integral imaging
Author Affiliations +
In this paper, we focused on the improvement of reconstructed image quality of the mobile three-dimensional display using the computer-generated integral imaging. The three-dimensional scanning method is applied instead of capturing the depth image in the acquisition step, and much more accurate three-dimensional view information (parallax and depth) can be acquired compared with the previous mobile three-dimensional integral imaging display, and the proposed system can reconstruct clearer three-dimensional visualizations of real-world objects. Here, the three-dimensional scanner acquires the three-dimensional parallax and depth information of the real-world object by the user. Then, the entire acquired data is organized and the three-dimensional the virtual model is generated based on the acquired data, and the EIA is generated from the virtual three-dimensional model. Additionally, in order to enhance the resolution of the elemental image array, an intermediate-view elemental image generation method is applied. Here, five intermediateview elemental images are generated between each four-original neighboring elemental image according to the pixel information, at least, the resolution of the generated elemental image array is enhanced almost four times than original. When the three-dimensional visualizations of real objects are reconstructed from the elemental image array with enhanced resolution, the quality can be improved quite comparing with the previous mobile three-dimensional imaging system. The proposed method is verified by the real experiment.
Conference Presentation
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Munkh-Uchral Erdenebat, Munkh-Uchral Erdenebat, Yan-Ling Piao, Yan-Ling Piao, Nyamsuren Darkhanbaatar, Nyamsuren Darkhanbaatar, Ki-Chul Kwon, Ki-Chul Kwon, Nam Kim, Nam Kim, } "Advanced mobile three-dimensional display based on computer-generated integral imaging", Proc. SPIE 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V, 106790I (24 May 2018); doi: 10.1117/12.2307680; https://doi.org/10.1117/12.2307680

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