Name
Abstract | ||
|---|---|---|
To keep image matching method being self-adjusted is very difficult. As an important aspect of self-adjusted problem, the angle between template and image directly decide whether the matching could be success. Particularly, the result of image matching is seldom accurate when the traditional matching approach is used. In recent years, with series of new idea created, there is a great breakthrough in field of Image matching. A new self-adjusted image matching approach based on Pyramid model and polar coordinate is discussed in this paper. Polar coordinate is used to remove the implication of rotation and Pyramid model is taken to keep the real-time of algorithm. The simulation result shows that this algorithm is more stable and faster than the traditional pixel-to-pixel algorithm. Moreover, this approach is easier to carry out and become a simple step of complex analyzing system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/APSIPA.2013.6694293 | Asia-Pacific Signal and Information Processing Association Annual Summit and Conference |
Keywords | Field | DocType |
Image matching,Arbitrary Rotation,Polar Coordinate,Pyramid Model | Template matching,Computer vision,Image matching,Polar coordinate system,Artificial intelligence,Pyramid,Mathematics | Conference |
Volume | Issue | ISSN |
null | null | 2309-9402 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangmin Sun | 1 | 17 | 6.19 |
| Zibo Li | 2 | 0 | 0.34 |
| Yufeng Jin | 3 | 0 | 0.34 |
| Junling Sun | 4 | 0 | 0.34 |
| Kun Zheng | 5 | 0 | 1.01 |
| Dequn Zhao | 6 | 3 | 2.22 |