Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1615002(2025)

Multi-Feature Fusion 3D Reconstruction Method Based on Similarity-Driven in High-Reflectivity Industrial Scenes

Zhuoyi Chen1, Haiyan Sun2、*, Xiaobin Li1、**, and Youlong Zeng1
Author Affiliations
  • 1School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China
  • 2School of Ecological Technology and Engineering, Shanghai Institute of Technology, Shanghai 201418, China
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    References(27)

    [19] Huang J J, Xu F, Luo L et al. Three-dimensional reconstruction of ocean waves based on mask and self-supervised learning[J]. Laser & Optoelectronics Progress, 61, 1437008(2024).

    [20] Hou Y F, Huang H S, Fan Q S et al. 3D reconstruction of neural radiation field based on improved multiple layer perceptron[J]. Laser & Optoelectronics Progress, 61, 0415004(2024).

    [23] He P X, Sun X Y, Ji Y F et al. Improved 3D reconstruction algorithm for unmanned aerial vehicle images based on PM-MVS[J]. Laser & Optoelectronics Progress, 62, 0837009(2025).

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    Zhuoyi Chen, Haiyan Sun, Xiaobin Li, Youlong Zeng. Multi-Feature Fusion 3D Reconstruction Method Based on Similarity-Driven in High-Reflectivity Industrial Scenes[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1615002

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    Paper Information

    Category: Machine Vision

    Received: Jan. 7, 2025

    Accepted: Mar. 3, 2025

    Published Online: Jul. 24, 2025

    The Author Email: Haiyan Sun (sj-shy@163.com), Xiaobin Li (lixiaobinauto@163.com)

    DOI:10.3788/LOP250463

    CSTR:32186.14.LOP250463

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