综述光场超分辨率技术，破解空间角度分辨率难题。
Light Field Super-Resolution: A Critical Review on Challenges and Opportunities
- 梳理光场采集与超分辨率算法，聚焦分辨率矛盾问题
- 指出高分辨率光场捕获受传感器限制，处理速度慢
- 适合计算机视觉、成像系统研究者参考
便携式低成本光场相机的发展重新激发了对光场成像的兴趣。光场成像已演变为一种能捕捉更丰富视觉信息的技术，其高维数据表示为场景理解提供了强大手段，在深度感知、拍摄后对焦、材质分类、分割和视频稳定等传统计算机视觉任务中表现显著提升。然而，由于传感器分辨率有限，实现高空间-角度分辨率的光场捕获以及以高帧率录制光场视频仍是主要挑战。本文系统回顾了光场采集技术、不同捕获方法带来的问题，以及针对光场超分辨率提出的各类算法，旨在应对空间-角度分辨率权衡问题。
原文摘要 · Abstract (English)
Advances in portability and low cost of plenoptic cameras have revived interest in light field imaging. Light-field imaging has evolved into a technology that enables us to capture richer visual information. This high-dimensional representation of visual data provides a powerful way to understand the scene, with remarkable improvement in traditional computer vision problems such as depth sensing , post-capture refocusing , material classification, segmentation, and video stabilization. Capturing light fields with high spatial-angular resolution and capturing light field video at high frame rates remains a major challenge due to the limited resolution of the sensors, with limited processing speed. In this paper, we presented an extensive literature review of light field acquisition techniques, challenges associated with different capturing methodology and algorithms proposed for light-field super-resolution, in order to deal with spatial-angular resolution trade-off issue.
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