Opto-Electronic Engineering, Volume. 48, Issue 7, 200422(2021)

Depth acquisition of noisy scene based on inline occlusion handling of light field

Wu Di, Zhang Xudong*, Fan Zhiguo, and Sun Rui
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    References(15)

    [1] [1] Ng R, Levoy M, Brédif M, et al. Light field photography with a hand-held plenoptic camera[R]. Computer Science Technical Report CSTR2, 2005: 1–11.

    [2] [2] Zhang S, Sheng H, Li C, et al. Robust depth estimation for light field via spinning parallelogram operator[J]. Comput Vis Image Underst, 2016, 145: 148–159.

    [3] [3] Wanner S, Goldluecke B. Globally consistent depth labeling of 4D light fields[C]//2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.

    [4] [4] Chen J, Hou J H, Ni Y, et al. Accurate light field depth estimation with superpixel regularization over partially occluded regions[J]. IEEE Trans Image Process, 2018, 27(10): 4889–4900.

    [5] [5] Jeon H G, Park J, Choe G, et al. Accurate depth map estimation from a lenslet light field camera[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015.

    [6] [6] Williem, Park I K, Lee K M. Robust light field depth estimation using occlusion-noise aware data costs[J]. IEEE Trans Pattern Anal Mach Intell, 2018, 40(10): 2484–2497.

    [7] [7] Williem W, Park I K. Robust light field depth estimation for noisy scene with occlusion[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016.

    [8] [8] Tao M W, Hadap S, Malik J, et al. Depth from combining defo-cus and correspondence using light-field cameras[C]//Proceedings of the IEEE International Conference on Computer Vision, 2013.

    [9] [9] Wang T C, Efros A, Ramamoorthi R. Occlusion-aware depth estimation using light-field cameras[C]//Proceedings of the IEEE International Conference on Computer Vision, 2015.

    [10] [10] Sheng H, Zhao P, Zhang S, et al. Oclusion-aware depth estimation for light field using multi-orientation EPIs[J]. Pattern Recognit, 2018, 74: 587–599.

    [11] [11] Guo Z H, Wu J L, Chen X F, et al. Accurate light field depth estimation using multi-orientation partial angular coherence[J]. IEEE Access, 2019, 7: 169123–169132.

    [12] [12] Strecke M, Goldluecke B. Sublabel-accurate convex relaxation with total generalized variation regularization[C]//German Conference on Pattern Recognition, 2018.

    [13] [13] Lin H T, Chen C, Kang S B, et al. Depth recovery from light field using focal stack symmetry[C]//Proceedings of the IEEE International Conference on Computer Vision, 2015.

    [14] [14] Sheng H, Zhang S, Cao X C, et al. Geometric occlusion analysis in depth estimation using integral guided filter for light-field image[J]. IEEE Trans Image Process, 2017, 26(12): 5758–5771.

    [15] [15] Honauer K, Johannsen O, Kondermann D, et al. A dataset and evaluation methodology for depth estimation on 4d light fields[C]//Asian Conference on Computer Vision, 2016.

    CLP Journals

    [1] Ma Shuai, Wang Ning, Zhu Licheng, Wang Shuai, Yang Ping, Xu Bing. Light field depth estimation using weighted side window angular coherence[J]. Opto-Electronic Engineering, 2021, 48(12): 210405

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    Wu Di, Zhang Xudong, Fan Zhiguo, Sun Rui. Depth acquisition of noisy scene based on inline occlusion handling of light field[J]. Opto-Electronic Engineering, 2021, 48(7): 200422

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    Paper Information

    Category: Article

    Received: Nov. 16, 2020

    Accepted: --

    Published Online: Sep. 4, 2021

    The Author Email: Xudong Zhang (xudong@hfut.edu.cn)

    DOI:10.12086/oee.2021.200422

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