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Multi-layer multi-feature adaptive weight fusion network for 3D reconstruction of objects with high-frequency information
Full-field optical measurement and nondestructive testing | 更新时间:2025-09-02
    • Multi-layer multi-feature adaptive weight fusion network for 3D reconstruction of objects with high-frequency information

    • In the field of photometric stereo deep learning, researchers have proposed MMF Net, which effectively obtains low-frequency and high-frequency information of object surfaces, providing reference for high-precision 3D reconstruction.
    • Optics and Precision Engineering   Vol. 33, Issue 15, Pages: 2424-2440(2025)
    • DOI:10.37188/OPE.20253315.2424    

      CLC: TP394.1;TP183
    • CSTR:32169.14.OPE.20253315.2424    
    • Received:28 May 2025

      Revised:25 June 2025

      Published:10 August 2025

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  • WANG Biao,LI Ying,RONG Baichuan,et al.Multi-layer multi-feature adaptive weight fusion network for 3D reconstruction of objects with high-frequency information[J].Optics and Precision Engineering,2025,33(15):2424-2440. DOI: 10.37188/OPE.20253315.2424. CSTR: 32169.14.OPE.20253315.2424.

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