Name
Abstract | ||
|---|---|---|
We propose in this article a corner detector algorithm, which leads to results both on mono-spectral and multi-spectral images. To validate the method, we compare its mono-spectral version to Harris detector, which is the most frequently used in literature. This study shows that the proposed method gives generally more efficient results. However, bad localizations appear for very blurred images (as for most corner detectors). Therefore, we have implemented a sub-pixel detector able to find the exact corner position. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICPR.2000.903704 | Pattern Recognition, 2000. Proceedings. 15th International Conference |
Keywords | Field | DocType |
edge detection,matrix algebra,Harris detector,bad localisations,corner detector algorithm,exact corner position,mono-spectral images,multispectral images,sub-pixel detector,very blurred images | Computer vision,Pattern recognition,Corner detection,Matrix algebra,Computer science,Edge detection,Multispectral image,Pixel,Artificial intelligence,Hessian affine region detector,Detector,Corner detector | Conference |
Volume | ISSN | ISBN |
3 | 1051-4651 | 0-7695-0750-6 |
Citations | PageRank | References |
10 | 0.92 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| catherine achard | 1 | 10 | 0.92 |
| Erwan Bigorgne | 2 | 21 | 3.89 |
| Jean Devars | 3 | 31 | 5.61 |