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 EngineeringVol. 33, Issue 15, Pages: 2424-2440(2025)
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.
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.
Multi-layer multi-feature adaptive weight fusion network for 3D reconstruction of objects with high-frequency information