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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7005 |
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| Summary: | 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. |
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| ISSN: | 2076-3417 |