Infrared and Laser Engineering, Volume. 51, Issue 1, 20210935(2022)
Progress and challenges in dynamic holographic 3D display for the metaverse (Invited)
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Fig. 3. Recording and reconstruction of (a) optical holography, (b) computer-generated holography and (c) digital holography
Fig. 4. (a) Holographic 3D display system; (b) Holographic 3D reconstructions [59]
Fig. 5. (a) Holographic video display system based on coarse integration; (b) Full-color 3D holographic reconstructions [68]
Fig. 6. (a) Slim-panel holographic 3D display system; (b) Full-color 3D holographic reconstruction69]
Fig. 8. Computer-generated holographic algorithm based on auto-encoder deep learning network[90]
Fig. 9. Holographic reconstructions of 3D models generated by 2D-to-3D rendering method [112]
Table 1. Comparison of optimization methods for holographic
View tableView in ArticleTable 1. Comparison of optimization methods for holographic
Speed Quality Training time Generalization Random-phase-based methods Medium Medium NA Medium Iteration-based methods Slow High NA High Learning-based methods Fast High Long High
Table 2. Comparison of distortion calibration methods in holography
View tableView in ArticleTable 2. Comparison of distortion calibration methods in holography
Hardware complexity Software complexity Wavefront-compensation methods[ 91 -92 ]High High Conventional superposition methods[ 96 -98 ]Low High Phase-shifting-based superposition methods [ 99 ]Low Low
Table 3. Comparison of generation methods of 3D content
View tableView in ArticleTable 3. Comparison of generation methods of 3D content
Resolution Depth range Processing time Compatibility Hardware-based methods Camera array High Large Long Medium TOF camera Low Large Short Low Lens-array camera Medium Medium Medium Low Structured illumination camera High Medium Long Low Software-based methods 3D modeling methods High Large Long Low 2D-to-3D methods High Large Medium High
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Liangcai Cao, Zehao He, Kexuan Liu, Xiaomeng Sui. Progress and challenges in dynamic holographic 3D display for the metaverse (Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210935
Paper Information
Category: Optical imaging
Received: Nov. 1, 2021
Accepted: Dec. 28, 2021
Published Online: Mar. 8, 2022
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