Name
Abstract | ||
|---|---|---|
The stereo correspondence problem represents a great challenge in Photogrammetry. In recent years, the Semi-Global Matching (SGM) method proposed by Hirschmüller et. al. is a promising approach for solving stereo matching problems in different applications and data sets, including aerial images. In this paper, a Ground Control Points based Semi-Global stereo Matching (GCP-SGM) method is proposed for aerial images. Ground Control Points are incorporated into the global energy function model in SGM to lessen matching ambiguities. Significant accuracy improvement is obtained by utilizing the prior information in the ground control points as soft constraints. Experimental results in real scenes show that when such prior information exists, the GCP-SGM method can effectively improve accuracy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICIG.2013.118 | ICIG |
Keywords | Field | DocType |
ground control,semi-global stereo matching,aerial images,gcp,image matching,stereo matching,data sets,matching ambiguity,gcp-sgm method,stereo matching problem,stereo correspondence,stereo correspondence problem,global energy function model,gcp-sgm,significant accuracy improvement,semiglobal matching method,semi-global matching,feature extraction,geophysical image processing,photogrammetry,prior information,weighted feature constraint,weighted feature constraints,soft constraint,stereo image processing,ground control points,aerial image,accuracy,cost function | Stereo matching,Computer vision,Photogrammetry,Data set,Pattern recognition,Computer science,Image matching,Feature extraction,Function model,Artificial intelligence,Correspondence problem,Computer stereo vision | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiongwu Xiao | 1 | 4 | 2.92 |
| Bingxuan Guo | 2 | 22 | 7.04 |
| Fei Pan | 3 | 13 | 3.21 |
| Yueru Shi | 4 | 0 | 0.34 |