An Optimal 3D Visualization Method for Integral Imaging Optical Display Systems Using Depth Rescaling and Field-of-View Resizing
Integral imaging is a promising 3D sensing and visualization technique that enables full-parallax and continuous viewpoint reconstruction. However, challenges, such as depth distortion and a limited field-of-view (FoV), can compromise the quality of 3D visualization. This paper proposes a method to optimize the display of captured 3D scenes for integral imaging optical display systems. To achieve high-quality 3D visualization, the captured 2D images are processed to align the depth range and field-of-view with the specification of the display system. The proposed approach computationally scales the captured scene nonuniformly across three dimensions, integrating a depth scaling process and a scene resizing process. By generating synthetic 2D elemental images tailored to a specific 3D display system, the proposed method can enhance depth accuracy and display adaptability. Experimental results demonstrate that our method significantly improves 3D display quality, offering a more immersive and visually accurate representation.
Authors
- Xin Shen (ORCID: https://orcid.org/0000-0001-5587-933X)
- Vanden Haviland
- Nathan Green (ORCID: https://orcid.org/0009-0001-8745-6814)
Institutions
- University of Hartford (US)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-06-21
- DOI
- https://doi.org/10.3390/app15137005
- Primary Topic
- Advanced Optical Imaging Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Aeronautics and Space Administration
- Connecticut Space Grant College Consortium
- University of Hartford
- Nuclear Safety and Security Commission