Name
Abstract | ||
|---|---|---|
Phase correlation (PC) is widely employed by several sub-pixel motion estimation techniques in an attempt to accurately and robustly detect the displacement between two images. To achieve sub-pixel accuracy, these techniques employ interpolation methods and function-fitting approaches on the cross-correlation function derived from the PC core. However, such motion estimation techniques still prese... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIP.2019.2894266 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Motion estimation,Correlation,Image registration,Frequency estimation,Fourier transforms,Two dimensional displays,Interpolation | Computer vision,Pattern recognition,Upper and lower bounds,Interpolation,Fourier transform,Artificial intelligence,Pixel,Magnification,Motion estimation,Mathematics,Phase correlation,Image registration | Journal |
Volume | Issue | ISSN |
28 | 6 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitrios Konstantinidis | 1 | 0 | 0.34 |
| Tania Stathaki | 2 | 359 | 37.45 |
| Vasileios Argyriou | 3 | 279 | 30.51 |