Name
Abstract | ||
|---|---|---|
The key positions of target (key points) are usually selected as matching points (aiming points) in traditional target recognition based on image matching. However, sometimes the key points are not suitable for the aiming points. For example, when the features of key points are relatively single, they will be hard to be located, or When the key points are damaged, it is inappropriate for the key points to act as matching points (aiming points), and so on. Therefore, according to the relative position between the aiming point and key point of reference image, the indirect location technology on the key point is researched in this paper. The matching point is firstly determined by the template image which is produced by a model of geometric distortion based on attitude angle and flight altitude deviation. Secondly, the geometry relationship model between the matching point and the key point is established. The efficiency and applicability of our method is demonstrated by the experimental results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-00009-7_9 | CLOUD COMPUTING AND SECURITY, PT II |
Keywords | Field | DocType |
Scene matching, Indirect location, Distortion model, The key point | Computer vision,Image matching,Scene matching,Computer science,Reference image,Real-time computing,Artificial intelligence,Aiming point,Distortion | Conference |
Volume | ISSN | Citations |
11064 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Zhang | 1 | 208 | 36.76 |
| Ruili Zhao | 2 | 0 | 0.34 |
| Mengxing Huang | 3 | 13 | 4.96 |
| Zhonghua Liu | 4 | 115 | 11.12 |
| Jieren Cheng | 5 | 3 | 7.16 |
| Yu Zhang | 6 | 0 | 0.34 |