Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1615002(2025)
Multi-Feature Fusion 3D Reconstruction Method Based on Similarity-Driven in High-Reflectivity Industrial Scenes
Fig. 5. High-reflective metallurgy scenes and corresponding point clouds. (a) Experimental scene 1; (b) experimental scene 2; (c) experimental scene 3
Fig. 10. Results of experimental scence 1. (a) Original point cloud; (b) enlarged view of point cloud hole; (c) Meshlab; (d) spline curve method; (e) RBF; (f) Spiral-filling; (g) FIS; (h) proposed algorithm
Fig. 11. Results of experimental scence 2. (a) Original point cloud; (b) enlarged view of point cloud hole; (c) Meshlab; (d) spline curve method; (e) RBF; (f) Spiral-filling; (g) FIS; (h) proposed algorithm
Fig. 12. Results of experimental scence 3. (a) Original point cloud; (b) enlarged view of point cloud hole; (c) Meshlab; (d) spline curve method; (e) RBF; (f) Spiral-filling; (g) FIS; (h) proposed algorithm
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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
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)
CSTR:32186.14.LOP250463