journal article·2025-06-21Open access

An Optimal 3D Visualization Method for Integral Imaging Optical Display Systems Using Depth Rescaling and Field-of-View Resizing

Xin Shen, Nathan Green, Vanden Haviland

Applied Sciences· Volume 15· Issue 13

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Optical Imaging Technologies · Image and Video Stabilization · Photorefractive and Nonlinear Optics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Engineering, Technology, and Architecture, University of Hartford, West Hartford, CT 06117, USA

Funding

NASA Connecticut Space Grant Consortium

References (26)

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