Laser & Optoelectronics Progress, Volume. 61, Issue 16, 1611012(2024)

Disparity-Guided Matching Metric Method for Light Field Features (Invited)

Meng Zhang1, Haiyan Jin1,2, Zhaolin Xiao1,2、*, and Fengyuan Zuo1
Author Affiliations
  • 1Department of Computer Science, Xi'an University of Technology, Xi'an 710048, Shaanxi, China
  • 2Shaanxi Key Laboratory for Network Computing and Security Technology, Xi'an 710048, Shaanxi, China
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    [12] Lin X, Guo Y, Zhao Y Q et al. Depth estimation method of light field based on attention mechanism of neighborhood pixel[J]. Acta Optica Sinica, 43, 2115003(2023).

    [20] Sarlin P E, DeTone D, Malisiewicz T et al. learning feature matching with graph neural networks[C], 4937-4946(2020).

    [22] DeTone D, Malisiewicz T, Rabinovich A. SuperPoint: self-supervised interest point detection and description[C], 224-236(2018).

    [23] Li X H, Han K, Li S D et al. Dual-resolution correspondence networks[C], 17346-17357(2020).

    [24] Cuturi M. Sinkhorn distances: lightspeed computation of optimal transport[C], 2292-2300(2013).

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    Meng Zhang, Haiyan Jin, Zhaolin Xiao, Fengyuan Zuo. Disparity-Guided Matching Metric Method for Light Field Features (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(16): 1611012

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    Paper Information

    Category: Imaging Systems

    Received: May. 16, 2024

    Accepted: Jun. 17, 2024

    Published Online: Aug. 12, 2024

    The Author Email: Zhaolin Xiao (xiaozhaolin@xaut.edu.cn)

    DOI:10.3788/LOP241287

    CSTR:32186.14.LOP241287

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