Name
Abstract | ||
|---|---|---|
Traditionally feature extraction is focussed on edge and corner detection, however, more recently points of interest and blob like features have also become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a new approach to a Hessian blob detector, designed within the finite element framework, which is similar to the multi-scale approach applied in the SURF detector. We present performance evaluation that demonstrates the accuracy of our approach in comparison to well known existing algorithms. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICIAP (1) | corner detection,surf detector,robust feature,finite element framework,computer vision,hessian blob detector,finite element blob detector,present performance evaluation,multi-scale approach,new approach |
Field | DocType | Volume |
Computer vision,Corner detection,Pattern recognition,Interest point detection,Computer science,Hessian matrix,Feature extraction,Blob detection,Hessian affine region detector,Artificial intelligence,Point of interest,Detector | Conference | 6978 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.36 |
References | Authors | |
13 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dermot Kerr | 1 | 50 | 13.84 |
| Sonya Coleman | 2 | 16 | 5.59 |
| Bryan W. Scotney | 3 | 670 | 82.50 |