Name
Abstract | ||
|---|---|---|
Template matching via cross-correlation on Laplacian pyramid image architectures has been traditionally performed in a ''coarse'' to ''fine'' fashion. In the present paper, we show that by computing cross-correlation within each level of the pyramid independently, and considering the sum across (expanded) levels, a significant improvement in Peak to Correlation Energy (PCE) (Kumar and Hassebrook, 1992) is obtained. This result is illustrated with a number of numerical examples. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1016/S0167-8655(98)00056-7 | Pattern Recognition Letters |
Keywords | Field | DocType |
present paper,template matching,correlation energy,laplacian pyramid image architecture,correlation,numerical example,improved cross-correlation,significant improvement,laplacian pyramid,pyramid architectures,cross correlation | Cross-correlation,Template matching,Computer vision,Pattern recognition,Pyramid (image processing),Correlation,Artificial intelligence,Pyramid,Laplacian pyramid,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 8 | Pattern Recognition Letters |
Citations | PageRank | References |
5 | 0.92 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giorgio Bonmassar | 1 | 159 | 33.51 |
| E L Schwartz | 2 | 563 | 78.66 |