A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation.

Zi Wang, Yumeng Su, Yujian Pang, Qibin Feng, Guoqiang Lv

Abstract read

In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zi WangNational Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China.

Yumeng SuNational Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China.

Yujian PangNational Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China.

Qibin FengNational Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China.

Guoqiang LvSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

Department of Science and Technology of Anhui Province 202203a05020005Fundamental Research Funds for the Central Universities JZ2021HGTB0077National Natural Science Foundation of China 61805065National Natural Science Foundation of China 62275071

6 · The paper itself

Abstract

A super multi-view (SMV) near-eye display (NED) effectively provides depth cues for three-dimensional (3D) display by projecting multiple viewpoint or parallax images onto the retina simultaneously. Previous SMV NED have suffered from a limited depth of field (DOF) due to a fixed image plane. In this paper, a holographic SMV Maxwellian display based on depth segmentation is proposed to enhance the DOF. The proposed approach involves capturing a set of parallax images and their corresponding depth maps. According to the depth maps, the parallax images are segmented into N sub-parallax images at different depth ranges. These sub-parallax images are then projected onto N image-recording planes (IRPs) of the corresponding depth for hologram computation. The wavefront at each IRP is calculated by multiplying the sub-parallax images with the corresponding spherical wave phases. Then, they are propagated to the hologram plane and added together to form a DOF-enhanced hologram. The simulation and experimental results are obtained to validate the effectiveness of the proposed method in extending the DOF of the holographic SMV displays, while accurately preserving occlusion.

Indexed as

depth of fieldholographic displaynear-eye displaysuper multi-viewthree-dimensional display

Identifiers

PMID37763881

DOI10.3390/mi14091720

PMCPMC10535776

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