Overview of 4D Light Field Representation

被引:4
|
作者
Li Yaning [1 ]
Wang Xue [1 ]
Zhou Guoqing [1 ]
Wang Qing [1 ]
机构
[1] Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China
关键词
imaging systems; light field representation; computational photography; Fourier slice; light field reconstruction; ENERGY MINIMIZATION; DEPTH ESTIMATION; RECONSTRUCTION; MULTIVIEW;
D O I
10.3788/LOP202158.1811012
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Light field imaging and processing is one of the most potential directions in the field of computational photography. Constructing concise and efficient representations of light field is the theoretical basis and key to promote the applications of light field. Based on the depth, texture, geometry, scale, and spectrum of light field, this paper analyzes characteristics of typical light field representations, including sub -aperture image, epipolar plane image, focal stack, super-pixel, multiplane images, hypergraph, Fourier slice, Fourier disparity layer, and epipolar focus spectrum. This paper also summarizes the impacts of different representations for light field applications, such as reconstruction, depth estimation, editing and so on. Finally, the advantages, disadvantages, and potential applications of various representations are summarized.
引用
收藏
页数:18
相关论文
共 118 条
  • [1] Adelson E. H., 1991, PLENOPTIC FUNCTION E, V2
  • [2] [Anonymous], 1983, MEDICAL IMAGING SYST
  • [3] [Anonymous], 2017, INTR CONV NEUR NETW, V5, P23
  • [4] [Anonymous], 2008, Image-based rendering
  • [5] [Anonymous], 2016, 2016 IEEE C COMP VIS, P3262
  • [6] Panorama light-field imaging
    Birklbauer, C.
    Bimber, O.
    [J]. COMPUTER GRAPHICS FORUM, 2014, 33 (02) : 43 - 52
  • [7] The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution
    Bishop, Tom E.
    Favaro, Paolo
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 34 (05) : 972 - 986
  • [8] Computational Imaging for VLBI Image Reconstruction
    Bouman, Katherine L.
    Johnson, Michael D.
    Zoran, Daniel
    Fish, Vincent L.
    Doeleman, Sheperd S.
    Freeman, William T.
    [J]. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 913 - 922
  • [9] Fast approximate energy minimization via graph cuts
    Boykov, Y
    Veksler, O
    Zabih, R
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (11) : 1222 - 1239
  • [10] An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    Boykov, Y
    Kolmogorov, V
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (09) : 1124 - 1137