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Journal Article
High-Precision Depth Map Estimation from Missing Viewpoints for 360-Degree Digital Holography
- Authors
- Hakdong Kim, Heonyeong Lim, Minkyu Jee, Yurim Lee, MinSung Yoon, Cheongwon Kim
- Issue Date
- 2022-09
- Citation
- Applied Sciences, v.12, no.19, pp.1-20
- ISSN
- 2076-3417
- Publisher
- MDPI
- Language
- English
- Type
- Journal Article
- Project Code
- 21MH1300, HologramContents ServiceCenter Manage, Jee Hyung-Keun
- Abstract
- In this paper, we propose a novel model to extract highly precise depth maps from missing viewpoints, especially for generating holographic 3D content. These depth maps are essential elements for phase extraction, which is required for the synthesis of computer-generated holograms (CGHs). The proposed model, called the holographic dense depth, estimates depth maps through feature extraction, combining up-sampling. We designed and prepared a total of 9832 multi-view images with resolutions of 640 × 360. We evaluated our model by comparing the estimated depth maps with their ground truths using various metrics. We further compared the CGH patterns created from estimated depth maps with those from ground truths and reconstructed the holographic 3D image scenes from their CGHs. Both quantitative and qualitative results demonstrate the effectiveness of the proposed method.
- KSP Keywords
- 360-degree, 3D Image, 3D content, Computer generated holograms(CGH), Dense depth, Depth map estimation, Essential element, Feature extractioN, Novel model, Proposed model, digital holography
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
