• Chinese Journal of Lasers
  • Vol. 48, Issue 12, 1209001 (2021)
Yongkai Yin1、*, Kai Yu1, Chunzhan Yu1, Xuechun Bai1, Zewei Cai2, Xiangfeng Meng1, and Xiulun Yang1
Author Affiliations
  • 1School of Information Science and Engineering, Shandong University, Qingdao, Shandong 266237, China
  • 2School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
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    DOI: 10.3788/CJL202148.1209001 Cite this Article Set citation alerts
    Yongkai Yin, Kai Yu, Chunzhan Yu, Xuechun Bai, Zewei Cai, Xiangfeng Meng, Xiulun Yang. 3D Imaging Using Geometric Light Field: A Review[J]. Chinese Journal of Lasers, 2021, 48(12): 1209001 Copy Citation Text show less
    Two-plane parameterization model of the 4D light field[1]
    Fig. 1. Two-plane parameterization model of the 4D light field[1]
    Two visualizations of a light field[23]. (a) Light field is visualized as a uv array of xy images, in which each image in the array represents the rays leaving one point on the uv plane bound to all points on the xy plane; (b) light field is visualized as a xy array of uv images, in which each image represents the rays arriving at one point on the xy plane from all points on the uv plane
    Fig. 2. Two visualizations of a light field[23]. (a) Light field is visualized as a uv array of xy images, in which each image in the array represents the rays leaving one point on the uv plane bound to all points on the xy plane; (b) light field is visualized as a xy array of uv images, in which each image represents the rays arriving at one point on the xy plane from all points on the uv plane
    Phase-space diagrams of light field[1]. (a) A regular array of light rays from a set of points in the u plane to a set of points in the x plane; (b) a set of light rays arriving at the same position in the x plane; (c) a set of light rays approaching a location behind the x' plane; (d) a set of light rays diverging after converging at a location before the x″ plane
    Fig. 3. Phase-space diagrams of light field[1]. (a) A regular array of light rays from a set of points in the u plane to a set of points in the x plane; (b) a set of light rays arriving at the same position in the x plane; (c) a set of light rays approaching a location behind the x' plane; (d) a set of light rays diverging after converging at a location before the x″ plane
    Plane-direction parameterization model of the 4D light field, in which we have x≈θ at paraxial approximation
    Fig. 4. Plane-direction parameterization model of the 4D light field, in which we have xθ at paraxial approximation
    2D imaging and 3D imaging. (a) Imaging with conventional camera is 2D imaging, in which 3D information is lost during imaging and cannot be recovered from the image of single view; (b) 3D reconstruction can be achieved from images of two-view by using triangulation
    Fig. 5. 2D imaging and 3D imaging. (a) Imaging with conventional camera is 2D imaging, in which 3D information is lost during imaging and cannot be recovered from the image of single view; (b) 3D reconstruction can be achieved from images of two-view by using triangulation
    Light field acquisition with sequence imaging. (a) Spherical gantry, in which the inner arm typically holds a detector or camera, the outer arm holds a light source or video projector, and the object sits on the central platform[9]; (b) 16×GoPro rotating array of action sports cameras, which can record the panoramic light field of the outward environment[28]; (c) aperture scanning 4f system without mechanical movement, which employs a DMD in Fourier space to scan the aperture[29-30]
    Fig. 6. Light field acquisition with sequence imaging. (a) Spherical gantry, in which the inner arm typically holds a detector or camera, the outer arm holds a light source or video projector, and the object sits on the central platform[9]; (b) 16×GoPro rotating array of action sports cameras, which can record the panoramic light field of the outward environment[28]; (c) aperture scanning 4f system without mechanical movement, which employs a DMD in Fourier space to scan the aperture[29-30]
    Light field capture with camera array. (a) A real-time light field recorder with 8×8 camera array[31-32]; (b) a volumetric capture system for full-body light field capture, which comprises of 331 programmable light boards and 90 high-resolution cameras[33]; (c) light field microscopy with 5×5 camera array[34]; (d) PiCam, an ultra-thin high performance monolithic camera array, which consists of 4×4 micro-camera array with different color filters[35]
    Fig. 7. Light field capture with camera array. (a) A real-time light field recorder with 8×8 camera array[31-32]; (b) a volumetric capture system for full-body light field capture, which comprises of 331 programmable light boards and 90 high-resolution cameras[33]; (c) light field microscopy with 5×5 camera array[34]; (d) PiCam, an ultra-thin high performance monolithic camera array, which consists of 4×4 micro-camera array with different color filters[35]
    Catadioptric light field cameras, which capture light field by combining single camera and mirror array. (a) Mirror array with spherical mirrors of small curvature[36]; (b) planar mirror array[37]; (c) mirror array with spherical mirrors of large curvature[38]
    Fig. 8. Catadioptric light field cameras, which capture light field by combining single camera and mirror array. (a) Mirror array with spherical mirrors of small curvature[36]; (b) planar mirror array[37]; (c) mirror array with spherical mirrors of large curvature[38]
    Integral imaging, which captures light field by direct imaging using the microlens array. (a) Schematic diagram of integral imaging[15]; (b) integral imaging lens consisting of lens-prism pairs[39]
    Fig. 9. Integral imaging, which captures light field by direct imaging using the microlens array. (a) Schematic diagram of integral imaging[15]; (b) integral imaging lens consisting of lens-prism pairs[39]
    Various lenslet images captured using plenoptic cameras with different MLA configurations[40]
    Fig. 10. Various lenslet images captured using plenoptic cameras with different MLA configurations[40]
    Planar parallax for light field[51]. A point P not on the reference plane has distinct images coordinates p0, pi in viewpoints C0, Ci. The parallax between these two depends on the relative viewpoints displacement Δxi and relative depth Δzp/(Δzp+Z0)
    Fig. 11. Planar parallax for light field[51]. A point P not on the reference plane has distinct images coordinates p0, pi in viewpoints C0, Ci. The parallax between these two depends on the relative viewpoints displacement Δxi and relative depth Δzp/(Δzp+Z0)
    Angular coherence and refocusing[58]. (a) Original light field image, in which the rays of different directions from the identical point are recorded in different macro pixels; (b) after refocusing, the rays from the identical point are recorded in one macro pixel. Different pixels within one macro pixel exhibit angular coherence, that is, the consistency of light intensity, depth and shadow
    Fig. 12. Angular coherence and refocusing[58]. (a) Original light field image, in which the rays of different directions from the identical point are recorded in different macro pixels; (b) after refocusing, the rays from the identical point are recorded in one macro pixel. Different pixels within one macro pixel exhibit angular coherence, that is, the consistency of light intensity, depth and shadow
    Visualization of a cross-structure light-field and EPIs[73]. Horizontal light-field EPIs are obtained by slicing horizontally through the image volume, while vertical light-field EPIs are obtained by slicing vertically through the image volume
    Fig. 13. Visualization of a cross-structure light-field and EPIs[73]. Horizontal light-field EPIs are obtained by slicing horizontally through the image volume, while vertical light-field EPIs are obtained by slicing vertically through the image volume
    Light field 3D scanner framework for producing ultra high quality 3D reconstruction[91]
    Fig. 14. Light field 3D scanner framework for producing ultra high quality 3D reconstruction[91]
    3D reconstruction with phase-coded structured-light-field[109]. (a) Basic system framework; (b) ray calibration
    Fig. 15. 3D reconstruction with phase-coded structured-light-field[109]. (a) Basic system framework; (b) ray calibration
    SystemResolutionEfficiencyCost
    Sequential acquisitionSpatial: high; Angular: highLowModerate
    Camera arraySpatial: high; Angular: lowHighHigh
    Light field cameraSpatial versus angular: tradeoffHighLow
    Table 1. Characteristics of different light field capture systems
    Yongkai Yin, Kai Yu, Chunzhan Yu, Xuechun Bai, Zewei Cai, Xiangfeng Meng, Xiulun Yang. 3D Imaging Using Geometric Light Field: A Review[J]. Chinese Journal of Lasers, 2021, 48(12): 1209001
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