十亿像素计算光场相机
A Gigapixel Computational Light-Field Camera
AI总结：
针对传统光场相机空间-角度分辨率受限的问题，提出计算型光场相机，利用十亿像素衍射极限采集证明其可支持真实重聚焦、超分辨成像与大景深三维重建。
摘要：
光场相机能够同时采集光的空间分量和角度分量，在图像重聚焦到场景三维重建等领域具有广泛应用。传统的此类采集方式会导致严重的空间-角度分辨率限制。本文提出一种计算型光场相机。我们实现了一次十亿像素、照片级真实感且达到衍射极限的光场采集；若使用传统光场相机完成同样的采集，将需要采用一块十亿像素传感器。该结果主要受限于总采集时间，因为我们的系统原则上可实现约万亿像素级重建。所报告的结果展现出诸多潜在优势，例如能够进行大景深光场采集、在极宽深度范围内实现真实重聚焦、进行超高维超分辨图像采集，以及实现大景深三维重建。
英文摘要：
Light-field cameras allow the acquisition of both the spatial and angular components of the light. This has a wide range of applications from image refocusing to 3D reconstruction of a scene. The conventional way to perform such acquisitions leads to a strong spatio-angular resolution limit. Here we propose a computational version of the light-field camera. We perform a one gigapixel photo-realistic diffraction limited light-field acquisition, that would require the use of a one gigapixel sensor were the acquisition to be performed with a conventional light-field camera. This result is mostly limited by the total acquisition time, as our system could in principle allow $\sim$Terapixel reconstructions to be achieved. The reported result presents many potential advantages, such as the possibility to perform large depth of field light-field acquisitions, realistic refocusing along a very wide range of depths, very high dimensional super-resolved image acquisitions, and large depth of field 3D reconstructions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
