• Chinese Journal of Lasers
  • Vol. 47, Issue 12, 1204005 (2020)
Wu Junlong1、2、3, Guo Zhenghua1、2、3, Chen Xianfeng1、2、3, Ma Shuai1、2、3, Yan Xu1、2、3, Zhu Licheng1、2、3, Wang Shuai1、3, and Yang Ping1、3、*
Author Affiliations
  • 1Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/CJL202047.1204005 Cite this Article Set citation alerts
    Wu Junlong, Guo Zhenghua, Chen Xianfeng, Ma Shuai, Yan Xu, Zhu Licheng, Wang Shuai, Yang Ping. Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(12): 1204005 Copy Citation Text show less
    References

    [1] Furukawa Y, Hernández C. Multi-view stereo: a tutorial[J]. Foundations and Trends in Computer Graphics and Vision, 9, 1-148(2015). http://dl.acm.org/citation.cfm?id=2864700

    [2] Fu L, Hong H B, Wang X et al. Non-Lambertian photometric stereo vision based on inverse reflectance model[J]. Acta Optica Sinica, 40, 0520001(2020).

    [3] Xiao J S, Tian H, Zou W T et al. Stereo matching based on convolutional neural network[J]. Acta Optica Sinica, 38, 0815017(2018).

    [4] Shan B H, Huo X Y, Liu Y. A stereovision measurement method using epipolar constraint to correct digital image correlation matching[J]. Chinese Journal of Lasers, 44, 0804003(2017).

    [5] Bok Y, Jeon H G, Kweon I S. Geometric calibration of micro-lens-based light field cameras using line features[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 287-300(2017). http://ieeexplore.ieee.org/document/7432007/

    [6] Dansereau D G, Pizarro O, Williams S B. Decoding, calibration and rectification for lenselet-based plenoptic cameras[C]//2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA., 1027-1034(2013).

    [7] Johannsen O, Honauer K, Goldluecke B et al. A taxonomy and evaluation of dense light field depth estimation algorithms[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), July 21-26, 2017, Honolulu, HI, USA., 1795-1812(2017).

    [8] Mishiba K. Fast depth estimation for light field cameras[J]. IEEE Transactions on Image Processing, 29, 4232-4242(2020). http://ieeexplore.ieee.org/document/8985549/

    [9] Zhang S, Sheng H, Li C et al. Robust depth estimation for light field via spinning parallelogram operator[J]. Computer Vision and Image Understanding, 145, 148-159(2016).

    [10] Anisimov Y. O W, Stricker D. Rapid light field depth estimation with semi-global matching. [C]// 2019 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Jun. 16-20, 2019, Long Beach, CA. New York: IEEE, 78-89(2019).

    [11] Anisimov Y, Wasenmüller O, Stricker D. A compact light field camera for real-time depth estimation[J]. Computer Analysis of Images and Patterns, 52-63(2019).

    [12] Cai Z W, Liu X L, Pedrini G et al. Accurate depth estimation in structured light fields[J]. Optics Express, 27, 13532-13546(2019).

    [13] Cai Z W, Liu X L, Pedrini G et al. Light-field depth estimation considering plenoptic imaging distortion[J]. Optics Express, 28, 4156-4168(2020). http://www.researchgate.net/publication/338776947_Light-field_depth_estimation_considering_plenoptic_imaging_distortion

    [14] Li J K, Jin X. Frequency descriptor based light field depth estimation[C]//2019 IEEE Visual Communications and Image Processing (VCIP), December 1-4, 2019, Sydney, Australia., 1-4(2019).

    [15] ShinC, Jeon HG, YoonY, et al.EPINET: a fully-convolutional neural network using epipolar geometry for depth from light field images[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE Press, 2018: 4748- 4757.

    [16] Heber S, Yu W, Pock T. Neural EPI-volume networks for shape from light field[C]//2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 2271-2279(2017).

    [17] LeistnerT, SchillingH, MackowiakR, et al.Learning to think outside the box: wide-baseline light field depth estimation with EPI-shift[C]//2019 International Conference on 3D Vision (3DV), September 16-19, 2019, Québec City, QC, Canada. New York: IEEE Press, 2019: 249- 257.

    [18] Schiopu I, Munteanu A. Deep-learning-based depth estimation from light field images[J]. Electronics Letters, 55, 1086-1088(2019).

    [19] Jeon H G, Park J, Choe G et al. Depth from a light field image with learning-based matching costs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 297-310(2019).

    [20] Kalantari N K, Wang T C, Ramamoorthi R. Learning-based view synthesis for light field cameras[J]. ACM Transactions on Graphics, 35, 1-10(2016).

    [21] Sun X, Xu Z M, Meng N et al. Data-driven light field depth estimation using deep convolutional neural networks[C]//2016 International Joint Conference on Neural Networks (IJCNN), July 24-29, 2016, Vancouver, BC, Canada., 367-374(2016).

    [22] Ronneberger O, Fischer P, Brox T[M]. U-net: convolutional networks for biomedical image segmentation, 234-241(2015).

    [23] Honauer K, Johannsen O, Kondermann D et al. A dataset and evaluation methodology for depth estimation on 4D light fields[J]. Computer Vision - ACCV, 2017, 19-34(2016).

    [24] Hanhart P, Rerábek M, Ebrahimi T. Subjective and objective evaluation of HDR video coding technologies[C]//2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX), June 6-8, 2016, Lisbon, Portugal., 1-6(2016).

    [25] Jeon H G, Park J, Choe G et al. Accurate depth map estimation from a lenslet light field camera[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 1547-1555(2015).

    Wu Junlong, Guo Zhenghua, Chen Xianfeng, Ma Shuai, Yan Xu, Zhu Licheng, Wang Shuai, Yang Ping. Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(12): 1204005
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