Name
Title | ||
|---|---|---|
A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching |
Abstract | ||
|---|---|---|
The paper proposes a technique aimed at reducing the num- ber of calculations required to cany out an exhaustive tem- plate matchmg process based on the Normalized Cross Cor- relation (NCC). The technique deploys an effective suffi- cient condition, relying on the recently introduced concept of Lwunded partial correlation, that allows rapid elimination of the (mints that can not provide a better cross-correlation score with respect to the current hest candidate. In this paper we devise anovel sufficient condition b&ed on the Cauchy- Schwarz inequality and compare the experimental results with those attained using the standard NCC-based template matching algorithm and the already known sufficient condi- tion based on the lensen inequality. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICIP.2003.1246950 | Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference |
Keywords | Field | DocType |
image matching,image motion analysis,image resolution,iterative methods,Cauchy-Schwarz inequality,Jensen inequality,NCC,bounded partial correlation,normalized cross correlation,template matching process | Cross-correlation,Template matching,Mathematical optimization,Partial correlation,Jensen's inequality,Image matching,Iterative method,Computer science,Cauchy–Schwarz inequality,Bounded function | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 | 0-7803-7750-8 |
Citations | PageRank | References |
16 | 1.00 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luigi Di Stefano | 1 | 197 | 11.89 |
| Stefano Mattoccia | 2 | 727 | 52.65 |