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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：2025-09-08

    • 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：2025-06-25，

      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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