Chinese Journal of Lasers, Volume. 52, Issue 17, 1709001(2025)

Multi‐View 3D Reconstruction Based on Adaptive Feature Enhancement in Inspection Scenes

Yongkang Zhang1, Yi An1,2、*, Zhiyong Yang3, Yan Chen1, and Haochen Sun1
Author Affiliations
  • 1School of Electrical Engineering, Xinjiang University, Urumqi 830017, Xinjiang , China
  • 2School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, Liaoning , China
  • 3Xinjiang Tianchi Energy Co., Ltd., Fukang831500, Xinjiang , China
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    References(31)

    [2] Ji Y, Chen R Q, Xu Z C et al. Application of 5G intelligent inspection robot in V-filter of a large waterworks[J]. China Water & Wastewater, 41, 82-88(2025).

    [3] Fan M R, Shen B K, Niu W L et al. Survey on multi-view stereo based on deep learning[J]. Journal of Software, 36, 1692-1714(2025).

    [16] Zhu G Z, Wei B, Yang A F et al. Multi-view 3D reconstruction method based on self-attention mechanism[J]. Laser & Optoelectronics Progress, 60, 1615009(2023).

    [20] Liang T Y, Han X, Li H Y. Multi-view three-dimensional reconstruction of weak texture regions based on simple lidar[J]. Laser & Optoelectronics Progress, 62, 0828002(2025).

    [21] 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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    Yongkang Zhang, Yi An, Zhiyong Yang, Yan Chen, Haochen Sun. Multi‐View 3D Reconstruction Based on Adaptive Feature Enhancement in Inspection Scenes[J]. Chinese Journal of Lasers, 2025, 52(17): 1709001

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    Paper Information

    Category: Imaging and Information Processing

    Received: Feb. 20, 2025

    Accepted: May. 8, 2025

    Published Online: Sep. 3, 2025

    The Author Email: Yi An (anyi@dlut.edu.cn)

    DOI:10.3788/CJL250543

    CSTR:32183.14.CJL250543

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