摘要
Light field imaging is an emerging technology in computational photography areas. Based on innovative designs of the imaging model and the optical path, light field cameras not only record the spatial intensity of three- dimensional （3D） objects, but also capture the angular information of the physical world, which provides new ways to address various problems in computer vision, such as 3D reconstruction, saliency detection, and object recognition. In this paper, three key aspects of light field cameras, i.e., model, calibration, and reconstruction, are reviewed extensively. Furthermore, light field based applications on informatics, physics, medicine, and biology are exhibited. Finally, open issues in light field imaging and long-term application prospects in other natural sciences are discussed.
光场成像是计算摄像学领域一项新兴技术。基于对成像模型和光路的创新设计,光场相机不仅记录了三维物体的空间强度,而且捕获了物理世界中的角度信息。这为解决三维重建、显著区域检测、目标识别等计算机视觉问题提供了新途径。本文首先回顾了光场相机的三个关键问题,包括成像模型、标定理论以及重建方法。然后,系统介绍了光场成像技术在信息学、物理学、医学和生物学等领域的应用现状。最后,讨论了光场成像目前存在的问题,并展望了光场成像技术的应用前景。
基金
Project supported by the National Natural Science Foundation of China （Nos. 61531014 and 61272287）
