Name
Abstract | ||
|---|---|---|
An affine invariant interest point detector named here as Harris-Bessel detector employing Bessel filters is proposed in this paper. The Harris-Bessel detector is applied on the images a well-known database in the literature. Our numerical results indicate that this detector is competitive and has better repeatability and localization measures than those of the affine invariant Harris-Laplace interest point detector. We also numerically demonstrate in this paper that the Harris-Bessel detector is affine invariant and is in average 450 times faster than the affine invariant Harris-Laplace detector for the images of the database. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-14364-4_35 | ADVANCES IN VISUAL COMPUTING (ISVC 2014), PT II |
Field | DocType | Volume |
Affine shape adaptation,Harris affine region detector,Artificial intelligence,Principal curvature-based region detector,Hessian affine region detector,Detector,Topology,Computer vision,Kadir–Brady saliency detector,Affine combination,Affine coordinate system,Algorithm,Mathematics | Conference | 8888 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
10 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sasan Mahmoodi | 1 | 94 | 17.37 |
| Nasim Saba | 2 | 0 | 0.34 |