Researching | 3D light-field display with corrected perspective based on optical flow prediction

Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 5, 707(2025)

3D light-field display with corrected perspective based on optical flow prediction

Chenyu NING, Ningchi LI, Yunfan HU, Xin GAO, Binbin YAN, Xinzhu SANG, and Xunbo YU^*

Author Affiliations

School of Electronic Engineering，Beijing University of Posts and Telecommunications，Beijing 100876，China

show less

Abstract Get PDF(in Chinese)

Figures&Tables (9)

References (24)

Paper Information

References(24)

[1] LIU B Y, SANG X Z, YU X B et al. Time-multiplexed light field display with 120-degree wide viewing angle[J]. Optics Express, 27, 35728-35739(2019).

[2] YU X B, WANG Y P, GAO X et al. Optimizing depth of field in 3D light-field display by analyzing and controlling light-beam divergence angle[J]. Chinese Optics Letters, 22, 011101(2024).

[3] NI L X, LI Z X, LI H F et al. 360-degree large-scale multiprojection light-field 3D display system[J]. Applied Optics, 57, 1817-1823(2018).

[4] REN H, WANG Q H, XING Y et al. Super-multiview integral imaging scheme based on sparse camera array and CNN super-resolution[J]. Applied Optics, 58, A190-A196(2019).

[5] YU X B, DONG H X, GAO X et al. 360-degree directional micro prism array for tabletop flat-panel light field displays[J]. Optics Express, 31, 32273-32286(2023).

[6] YU X B, DONG H X, GAO X et al. Vertically spliced tabletop light field cave display with extended depth content and separately optimized compound lens array[J]. Optics Express, 32, 11296-11306(2024).

[7] HUA J Y, ZHOU F B, XIA Z W et al. Large-scale metagrating complex-based light field 3D display with space-variant resolution for non-uniform distribution of information and energy[J]. Nanophotonics, 12, 285-295(2023).

[8] ZHAO C J, GUO Z D, DENG H et al. Integral imaging three-dimensional display system with anisotropic backlight for the elimination of voxel aliasing and separation[J]. Optics Express, 31, 29132-29144(2023).

[9] BAI Y C, DENG H, YANG C N et al. Sub-pixel marking and depth-based correction methods for the elimination of voxel drifting in integral imaging display[J]. Optics Express, 32, 12243-12256(2024).

[10] ZHONG F Y, DENG H, GUO Z D et al. Overlapping-free dual-view integral imaging display[J]. Optics Communications, 512, 128042(2022).

[11] ADELSON E H, BERGEN J R, LANDY M S, MOVSHON J A. The plenoptic function and the elements of early vision[M]. Computational Models of Visual Processing(1991).

[12] MCMILLAN M, BISHOP G. Plenoptic modeling: an image-based rendering system[C], 39-46(1995).

[13] LEVOY M, HANRAHAN P. Light field rendering[C], 31-42(1996).

[14] GORTLER S J, GRZESZCZUK R, SZELISKI R et al. The lumigraph[C], 43-54(1996).

[15] FU B S, YU X B, GAO X et al. Analysis of the relationship between display depth and 3D image definition in light-field display from visual perspective[J]. Displays, 80, 102514(2023).

[16] SAID A, CULBERTSON B. Virtual object distortions in 3D displays with only horizontal parallax[C], 1-6(2011).

[17] DONG H X, YU X B, JIN Q et al. Tabletop 3D light-field display with 100° frontal viewing angle based on views-segmented voxels[J]. Chinese Journal of Lasers, 49, 0409001(2022).

[18] LI N C, YU X B, GAO X et al. Real-time representation and rendering of high-resolution 3D light field based on texture-enhanced optical flow prediction[J]. Optics Express, 32, 26478-26491(2024).

[19] YANG Z Y, SANG X Z, YAN B B et al. Real-time light-field generation based on the visual hull for the 3D light-field display with free-viewpoint texture mapping[J]. Optics Express, 31, 1125-1140(2023).

[20] GUO X, SANG X Z, YAN B B et al. Real-time dense-view imaging for three-dimensional light-field display based on image color calibration and self-supervised view synthesis[J]. Optics Express, 30, 22260-22276(2022).

[21] CHEN S, YAN B B, SANG X Z et al. Fast virtual view synthesis for an 8K 3D light-field display based on cutoff-NeRF and 3D voxel rendering[J]. Optics Express, 30, 44201-44217(2022).

[22] DOSOVITSKIY A, FISCHER F, ILG E et al. FlowNet: learning optical flow with convolutional networks[C], 2758-2766(2015).

[23] SUN D Q, YANG X D, LIU M Y et al. PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume[C], 8934-8943(2018).

[24] TEED Z, DENG J. RAFT: recurrent all-pairs field transforms for optical flow[C], 402-419(2020).

Tools

Get Citation

Copy Citation Text

Chenyu NING, Ningchi LI, Yunfan HU, Xin GAO, Binbin YAN, Xinzhu SANG, Xunbo YU. 3D light-field display with corrected perspective based on optical flow prediction[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(5): 707

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category:

Received: Jan. 18, 2025

Accepted: --

Published Online: Jun. 18, 2025

The Author Email: Xunbo YU (yuxunbo@126.com)

DOI:10.37188/CJLCD.2025-0017

Topics