Name
Abstract | ||
|---|---|---|
This paper aims to achieve computationally efficient and high-accuracy subpixel image registration with large displacements under the rotation-scale-translation model. This paper employs the classical phase correlation algorithm and the Lucas-Kanade (LK) algorithm in a two-stage coarse-to-fine framework, for which the motivation is from the observation that the two algorithms exhibit strong comple... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2017.2724303 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Estimation,Image registration,Robustness,Correlation,Computational modeling,Feature extraction,Computed tomography | Residual,Computer vision,Robustness (computer science),Feature extraction,Artificial intelligence,Real image,Subpixel rendering,Mathematics,Image registration,Phase correlation,Displacement (vector) | Journal |
Volume | Issue | ISSN |
55 | 11 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 30 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangguo Li | 1 | 2 | 2.40 |