Cargando…
A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation
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 thi...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535776/ https://www.ncbi.nlm.nih.gov/pubmed/37763881 http://dx.doi.org/10.3390/mi14091720 |
_version_ | 1785112710980042752 |
---|---|
author | Wang, Zi Su, Yumeng Pang, Yujian Feng, Qibin Lv, Guoqiang |
author_facet | Wang, Zi Su, Yumeng Pang, Yujian Feng, Qibin Lv, Guoqiang |
author_sort | Wang, Zi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10535776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105357762023-09-29 A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation Wang, Zi Su, Yumeng Pang, Yujian Feng, Qibin Lv, Guoqiang Micromachines (Basel) Article 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. MDPI 2023-08-31 /pmc/articles/PMC10535776/ /pubmed/37763881 http://dx.doi.org/10.3390/mi14091720 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Zi Su, Yumeng Pang, Yujian Feng, Qibin Lv, Guoqiang A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation |
title | A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation |
title_full | A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation |
title_fullStr | A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation |
title_full_unstemmed | A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation |
title_short | A Depth-Enhanced Holographic Super Multi-View Display Based on Depth Segmentation |
title_sort | depth-enhanced holographic super multi-view display based on depth segmentation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535776/ https://www.ncbi.nlm.nih.gov/pubmed/37763881 http://dx.doi.org/10.3390/mi14091720 |
work_keys_str_mv | AT wangzi adepthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT suyumeng adepthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT pangyujian adepthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT fengqibin adepthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT lvguoqiang adepthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT wangzi depthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT suyumeng depthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT pangyujian depthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT fengqibin depthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation AT lvguoqiang depthenhancedholographicsupermultiviewdisplaybasedondepthsegmentation |