Name
Abstract | ||
|---|---|---|
The contribution of this paper is twofold. First, a new spatial domain image registration technique with subpixel accuracy is presented. This technique is based on a double maximization of the correlation coefficient and provides a closed-form solu- tion to the subpixel translation estimation problem. Second, an efficient iterative scheme for integer registration is proposed, which reduces significantly the number of searches, as com- pared to the exhaustive search. This scheme can be used as a pre-processing step in the sub-pixel accuracy technique, lead- ing to lower computational complexity. Extensive simulation results have shown that the performance of the proposed tech- nique compares very favorably with respect to existing ones. |
Year | Venue | Field |
|---|---|---|
2006 | EUSIPCO | Integer,Correlation coefficient,Brute-force search,Pattern recognition,Artificial intelligence,Subpixel rendering,Image registration,Maximization,Mathematics,Computational complexity theory |
DocType | Citations | PageRank |
Conference | 4 | 0.54 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene G. Karybali | 1 | 17 | 3.78 |
| Emmanouil Z. Psarakis | 2 | 43 | 11.05 |
| Kostas Berberidis | 3 | 314 | 35.76 |
| Georgios D. Evangelidis | 4 | 199 | 12.91 |