Coded-E2LF: Coded Aperture Light Field Imaging from Events
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Abstract (arXiv)
We propose Coded-E2LF (coded event to light field), a computational imaging method for acquiring a 4-D light field using a coded aperture and a stationary event-only camera. In a previous work, an imaging system similar to ours was adopted, but both events and intensity images were captured and used for light field reconstruction. In contrast, our method is purely event-based, which relaxes restrictions for hardware implementation. We also introduce several advancements from the previous work that enable us to theoretically support and practically improve light field reconstruction from events alone. In particular, we clarify the key role of a black pattern in aperture coding patterns. We finally implemented our method on real imaging hardware to demonstrate its effectiveness in capturing real 3-D scenes. To the best of our knowledge, we are the first to demonstrate that a 4-D light field with pixel-level accuracy can be reconstructed from events alone. Our software and supplementary video are available from our project website.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 22 of its 61 references that are in the map. First posted on arXiv 26 Feb 2026.
Builds on
22 of 61 references.
References · 22
- 2019Event-based Vision: A Surveycited by 1,010
- 2019Events-to-Video: Bringing Modern Computer Vision to Event Camerascited by 191
- 2016Learning-Based View Synthesis for Light Field Camerascited by 145
- 2020Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancycited by 125
- 2022Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusioncited by 110
- 2022EventNeRF: Neural Radiance Fields from a Single Colour Event Cameracited by 92
- 2018EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Imagescited by 46
- 2022Multi-Bracket High Dynamic Range Imaging with Event Camerascited by 37
- 2023HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworkscited by 37
- 2016A 4D Light-Field Dataset and CNN Architectures for Material Recognitioncited by 26
- 2023EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstructioncited by 24
- 2016DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensingcited by 20
10 more
- 2021Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systemscited by 15
- 2023EventLFM: Event Camera integrated Fourier Light Field Microscopy for Ultrafast 3D imagingcited by 12
- 2024Temporal-Mapping Photography for Event Camerascited by 9
- 2024Time-Efficient Light-Field Acquisition Using Coded Aperture and Eventscited by 9
- 2024Deep Optics for Video Snapshot Compressive Imagingcited by 8
- 2018A Unified Learning Based Framework for Light Field Reconstruction from Coded Projectionscited by 7
- 2021Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fieldscited by 5
- 2022Acquiring a Dynamic Light Field through a Single-Shot Coded Imagecited by 4
- 2024Event fields: Capturing light fields at high speed, resolution, and dynamic rangecited by 4
- 2018Fast and Accurate Reconstruction of Compressed Color Light Fieldcited by 3
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Citing papers per year: 2026: 1.
1 paper.