[Paper] Fast Large-Scale Multi-View Rendering for Coarse Integral Imaging

High-resolution coarse integral imaging (CII) utilizes a fine-pitch interleaved Fresnel lens array; however, the smaller lens pitch dramatically increases the number of views to be rendered, hindering real-time performance. Moreover, extending the viewing zone requires elemental images to be generated in real time to match the viewer's eye position, making high frame rates indispensable. To address these challenges, we introduce a cluster-level culling technique that accelerates multi-view rendering for CII and sustains real-time frame rates even for scenes with millions of polygons. We further implement the technique in a prototype system on an iPad and an iPhone, both of which achieve real-time performance, demonstrating that CII can be realized with an exceptionally simple mobile-device setup.

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Publication Details

Journal
ITE Transactions on Media Technology and Applications
Published
2025-12-31
DOI
https://doi.org/10.3169/mta.14.25
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

[Paper] Fast Large-Scale Multi-View Rendering for Coarse Integral Imaging

Hideki Kakeya, Hiroto Omori
ITE Transactions on Media Technology and Applications
Advanced Optical Imaging Technologies
article

[Paper] Fast Large-Scale Multi-View Rendering for Coarse Integral Imaging

Hideki Kakeya, Hiroto Omori
article en

Abstract

High-resolution coarse integral imaging (CII) utilizes a fine-pitch interleaved Fresnel lens array; however, the smaller lens pitch dramatically increases the number of views to be rendered, hindering real-time performance. Moreover, extending the viewing zone requires elemental images to be generated in real time to match the viewer's eye position, making high frame rates indispensable. To address these challenges, we introduce a cluster-level culling technique that accelerates multi-view rendering for CII and sustains real-time frame rates even for scenes with millions of polygons. We further implement the technique in a prototype system on an iPad and an iPhone, both of which achieve real-time performance, demonstrating that CII can be realized with an exceptionally simple mobile-device setup.

ITE Transactions on Media Technology and ApplicationsVol. 14(1)
University of Tsukuba (JP)
Japan Society for the Promotion of Science, Core Research for Evolutional Science and Technology
Openalex Percentile: Top 31%
Advanced Optical Imaging Technologies
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