Opto-Electronic Engineering, Volume. 51, Issue 10, 240166(2024)

Unsupervised light field depth estimation based on sub-light field occlusion fusion

Haoyu Li1, Yeyao Chen1, Zhidi Jiang2, Gangyi Jiang1, and Mei Yu1、*
Author Affiliations
  • 1Faculty of Information Science and Engineering,Ningbo University,Ningbo,Zhejiang 315211,China
  • 2College Science & Technology,Ningbo University,Ningbo,Zhejiang 315300,China
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    References(22)

    [1] Rabia S, Allain G, Tremblay R et al. Orthoscopic elemental image synthesis for 3D light field display using lens design software and real-world captured neural radiance field[J]. Opt Express, 32, 7800-7815(2024).

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    [3] Li Y L, Chen Y Y, Cui Y L et al. LF-UMTI: unsupervised multi-exposure light field image fusion based on multi-scale spatial-angular interaction[J]. Opto-Electron Eng, 51, 240093(2024).

    [4] Lv T Q, Wu Y C, Zhao X L. Light field image super-resolution network based on angular difference enhancement[J]. Opto-Electron Eng, 50, 220185(2023).

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

    [8] Han K, Xiang W, Wang E et al. A novel occlusion-aware vote cost for light field depth estimation[J]. IEEE Trans Pattern Anal Mach Intell, 44, 8022-8035(2022).

    [11] Chao W T, Wang X C, Wang Y Q et al. Learning sub-pixel disparity distribution for light field depth estimation[J]. IEEE Trans Comput Imaging, 9, 1126-1138(2023).

    [13] Peng J Y, Xiong Z W, Wang Y C et al. Zero-shot depth estimation from light field using a convolutional neural network[J]. IEEE Trans Comput Imaging, 6, 682-696(2020).

    [14] Zhou W H, Zhou E C, Liu G M et al. Unsupervised monocular depth estimation from light field image[J]. IEEE Trans Image Process, 29, 1606-1617(2020).

    [15] Jin J, Hou J H. Occlusion-aware unsupervised learning of depth from 4-D light fields[J]. IEEE Trans Image Process, 31, 2216-2228(2022).

    [16] Zhang S S, Meng N, Lam E Y. Unsupervised light field depth estimation via multi-view feature matching with occlusion prediction[J]. IEEE Trans Circuits Syst Video Technol, 34, 2261-2273(2024).

    [20] Shi J L, Jiang X R, Guillemot C. A framework for learning depth from a flexible subset of dense and sparse light field views[J]. IEEE Trans Image Process, 28, 5867-5880(2019).

    [22] Rerabek M, Ebrahimi T. New light field image dataset[C], 1-2(2016).

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    Haoyu Li, Yeyao Chen, Zhidi Jiang, Gangyi Jiang, Mei Yu. Unsupervised light field depth estimation based on sub-light field occlusion fusion[J]. Opto-Electronic Engineering, 2024, 51(10): 240166

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    Paper Information

    Category: Article

    Received: Jul. 15, 2024

    Accepted: Sep. 10, 2024

    Published Online: Jan. 2, 2025

    The Author Email: Mei Yu (郁梅)

    DOI:10.12086/oee.2024.240166

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