• Optoelectronic Technology
  • Vol. 44, Issue 3, 173 (2024)
Yaolin CHEN, Yunfei LIU, Linsen CHEN, and Wen QIAO
Author Affiliations
  • School of Optoelectronic Science and Engineering, Soochow University, Suzhou Jiangsu 215006, CHN
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    DOI: 10.12450/j.gdzjs.202403001 Cite this Article
    Yaolin CHEN, Yunfei LIU, Linsen CHEN, Wen QIAO. Present Situation and Development of Integrated Imaging 3D Display Technology Assisted by Intelligent Algorithms[J]. Optoelectronic Technology, 2024, 44(3): 173 Copy Citation Text show less
    Schematic of integrated imaging 3D display[20]
    Fig. 1. Schematic of integrated imaging 3D display[20]
    Experimental renderings that expand the viewing angle[26]
    Fig. 2. Experimental renderings that expand the viewing angle[26]
    Efficient computer-generated integral imaging method based on reverse ray tracing technology[27]
    Fig. 3. Efficient computer-generated integral imaging method based on reverse ray tracing technology[27]
    Simulation method of high-speed light field display based on BRT technology[28]
    Fig. 4. Simulation method of high-speed light field display based on BRT technology[28]
    Real-time interactive computation based on ray tracing to generate an ensemble imaging method[29-30]
    Fig. 5. Real-time interactive computation based on ray tracing to generate an ensemble imaging method[29-30]
    Real-time rendering algorithm flow[31]
    Fig. 6. Real-time rendering algorithm flow[31]
    3D light field multi-view image reproduced by the proposed algorithm[46]
    Fig. 7. 3D light field multi-view image reproduced by the proposed algorithm[46]
    Element image enhancement algorithm based on composite photon counting model and Lucy-Richardson algorithm[51]
    Fig. 8. Element image enhancement algorithm based on composite photon counting model and Lucy-Richardson algorithm[51]
    Comparison of the effects of different encodingmethods[53]
    Fig. 9. Comparison of the effects of different encodingmethods[53]
    Micro-image array generation method based on path-tracing Monte Carlo method and recurrent convolutional neural network[58]
    Fig. 10. Micro-image array generation method based on path-tracing Monte Carlo method and recurrent convolutional neural network[58]
    Block diagram of algorithm processing based on neural radiance field[59]
    Fig. 11. Block diagram of algorithm processing based on neural radiance field[59]
    High-quality 3D display system based on simplified light field image acquisition method[60]
    Fig. 12. High-quality 3D display system based on simplified light field image acquisition method[60]
    The result of the proposed algorithm after encoding[61]
    Fig. 13. The result of the proposed algorithm after encoding[61]
    Method for joint optimization of optical elements and primitive image arrays based on convolutional neural networks[62-63]
    Fig. 14. Method for joint optimization of optical elements and primitive image arrays based on convolutional neural networks[62-63]
    Yaolin CHEN, Yunfei LIU, Linsen CHEN, Wen QIAO. Present Situation and Development of Integrated Imaging 3D Display Technology Assisted by Intelligent Algorithms[J]. Optoelectronic Technology, 2024, 44(3): 173
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