Light Field Reconstruction Using Multi-orientation Epipolar Plane Images

Light field reconstruction is one of the most important techniques for future glass-free 3D media production. However, current techniques suffer from low view-consistency and fixed patterns of view-trajectory. This article presents the 3D Multi-orientation Epipolar Plane Image (MOEPI) representation for high-quality light field reconstruction with both the inter-view and extra-view settings. Each layer in MOEPI is composed of EPI lines with a fixed orientation. To infer the MOEPI, a new Multi-reference Focal Stack (MRFS) intermediate representation is proposed. The optimization of MOEPI could be regarded as the problem of the most-focused content extraction from the MRFS. This optimization is implemented with a 3D U-shaped network. We also propose the LPIPS-EPI metric for evaluating the view-consistency. Experiments on light fields with both high and low signal-to-noise ratios demonstrate that the proposed MOEPI representation could synthesize high-quality light fields especially in occlusion or un-captured areas.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Multimedia Computing Communications and Applications
Published
2025-11-21
DOI
https://doi.org/10.1145/3777898
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Light Field Reconstruction Using Multi-orientation Epipolar Plane Images

Bing‐Kun Bao, Yaning Li, Hao Zhu
ACM Transactions on Multimedia Computing Communications and Applications
Advanced Vision and Imaging
article

Light Field Reconstruction Using Multi-orientation Epipolar Plane Images

Bing‐Kun Bao, Yaning Li, Hao Zhu
article en

Abstract

Light field reconstruction is one of the most important techniques for future glass-free 3D media production. However, current techniques suffer from low view-consistency and fixed patterns of view-trajectory. This article presents the 3D Multi-orientation Epipolar Plane Image (MOEPI) representation for high-quality light field reconstruction with both the inter-view and extra-view settings. Each layer in MOEPI is composed of EPI lines with a fixed orientation. To infer the MOEPI, a new Multi-reference Focal Stack (MRFS) intermediate representation is proposed. The optimization of MOEPI could be regarded as the problem of the most-focused content extraction from the MRFS. This optimization is implemented with a 3D U-shaped network. We also propose the LPIPS-EPI metric for evaluating the view-consistency. Experiments on light fields with both high and low signal-to-noise ratios demonstrate that the proposed MOEPI representation could synthesize high-quality light fields especially in occlusion or un-captured areas.

ACM Transactions on Multimedia Computing Communications and ApplicationsVol. 22(1)
Nanjing University of Posts and Telecommunications (CN), Nanjing University (CN)
Openalex Percentile: Top 63%
Advanced Vision and Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.