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Light field imaging: models, calibrations, reconstructions, and applications

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Abstract

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 threedimensional (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.

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Authors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, Xi’an, 710072, China

    Hao Zhu & Qing Wang

  2. School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China

    Jingyi Yu

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  1. Hao Zhu
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  2. Qing Wang
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Correspondence to Qing Wang.

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Project supported by the National Natural Science Foundation of China (Nos. 61531014 and 61272287)

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Zhu, H., Wang, Q. & Yu, J. Light field imaging: models, calibrations, reconstructions, and applications. Frontiers Inf Technol Electronic Eng 18, 1236–1249 (2017). https://doi.org/10.1631/FITEE.1601727

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