Name
Abstract | ||
|---|---|---|
In this paper we propose a novel technique for wavelet-based multi-resolution corner detection. The method is based on a search of the zero crossings of the Laplacian at different scales along the line that describes the trajectory of the maxima as the scale varies. The proposed techniques allow us to achieve sub-pixel accuracy and provide us with useful scale information on the detected features |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICIP.2000.899597 | Image Processing, 2000. Proceedings. 2000 International Conference |
Keywords | Field | DocType |
edge detection,feature extraction,image resolution,search problems,wavelet transforms,Laplacian,detected features,multi-resolution corner detection,scale information,sub-pixel accuracy,trajectory,wavelet-based multi-resolution corner detection,zero crossings | Computer vision,Corner detection,Feature detection (computer vision),Pattern recognition,Computer science,Interest point detection,Edge detection,Scale space,Marr–Hildreth algorithm,Artificial intelligence,Blob detection,Wavelet | Conference |
Volume | ISSN | ISBN |
3 | 1522-4880 | 0-7803-6297-7 |
Citations | PageRank | References |
5 | 0.45 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federico Pedersini | 1 | 5 | 0.45 |
| Elena Pozzoli | 2 | 5 | 0.45 |
| Augusto Sarti | 3 | 44 | 4.28 |
| Stefano Tubaro | 4 | 8 | 1.54 |