Laser & Optoelectronics Progress, Volume. 62, Issue 14, 1412001(2025)
Matching Cost Aggregation-Diffusion Method Based on Region Division
Fig. 3. Schematic diagrams of texture area division. (a) Grayscale images; (b) texture area division results
Fig. 6. Process of cost optimization. (a) Filtering effects of filter; (b) schematic diagrams of cost diffusion; (c) results of cost diffusion
Fig. 8. Parallax filling results. (a) Before parallax filling; (b) after parallax filling
Fig. 9. Effect of threshold on false match rate. (a) Teddy; (b) Cones; (c) Art; (d) Books
Fig. 10. Decline results of false match rates by proposed method (2001 and 2003 datasets)
Fig. 11. Decline results of false match rates by proposed method (2005 and 2006 datasets)
Fig. 13. Comparison results of different algorithms. (a) Left images; (b) BP algorithm; (c) SGM algorithm; (d) GC-Net algorithm; (e) proposed algorithm
|
|
|
Get Citation
Copy Citation Text
Longtao Tian, Hang Wang, Penghui Bu, Yatao Yan. Matching Cost Aggregation-Diffusion Method Based on Region Division[J]. Laser & Optoelectronics Progress, 2025, 62(14): 1412001
Category: Instrumentation, Measurement and Metrology
Received: Dec. 5, 2024
Accepted: Feb. 4, 2025
Published Online: Jul. 2, 2025
The Author Email: Penghui Bu (230103@xsyu.edu.cn)
CSTR:32186.14.LOP242379