Hybrid Light Field Imaging for Improved Spatial Resolution and Depth Range
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Abstract (arXiv)
Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustment, perspective shift, and depth estimation. Micro-lens array (MLA) based light field cameras provide a cost-effective approach to light field imaging. There are two main limitations of MLA-based light field cameras: low spatial resolution and narrow baseline. While low spatial resolution limits the general purpose use and applicability of light field cameras, narrow baseline limits the depth estimation range and accuracy. In this paper, we present a hybrid stereo imaging system that includes a light field camera and a regular camera. The hybrid system addresses both spatial resolution and narrow baseline issues of the MLA-based light field cameras while preserving light field imaging capabilities.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Nov 2016.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 4; 2025: 0; 2026: 1.
6 papers.
- 2022Learning Texture Transformer Network for Light Field Super-Resolutioncited by 2
- 2024Trade-off Between Spatial and Angular Resolution in Facial Recognitioncited by 2
- 2026Depth-Aware Image and Video Orientation Estimationcited by 1
- 2024Self-supervised Learning-based Reconstruction of High-resolution 4D Light Fieldscited by 0
- 2024Light Field Spatial Resolution Enhancement Frameworkcited by 0
- 2024Jointly Learning Spatial, Angular, and Temporal Information for Enhanced Lane Detectioncited by 0
- 2026Depth-Aware Image and Video Orientation Estimation15 Apr 2026
- 2024Jointly Learning Spatial, Angular, and Temporal Information for Enhanced Lane Detection5 May 2024
- 2024Light Field Spatial Resolution Enhancement Framework5 May 2024
- 2024Self-supervised Learning-based Reconstruction of High-resolution 4D Light Fields29 Feb 2024
- 2024Trade-off Between Spatial and Angular Resolution in Facial Recognition11 Feb 2024
- 2022Learning Texture Transformer Network for Light Field Super-Resolution9 Oct 2022