Name
Abstract | ||
|---|---|---|
Recently, finite element based methods have been used to develop gradient operators for edge detection that have improved angular accuracy over standard techniques. A more prominent issue in the field of image processing has become the use of interest point detectors and to this end we expand upon this research developing a finite element scale invariant interest point detector that is based on the same multi-scale approach used in the SURF detector. The operator differs in that the autocorrelation matrix is used to select the interest point location and the derivative and smoothing operations are combined into one operator developed through the use of the finite element framework. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04146-4_10 | ICIAP |
Keywords | Field | DocType |
surf detector,finite element,edge detection,angular accuracy,finite element framework,gradient operator,interest point location,finite element scale invariant,interest point detector,autocorrelation matrix,scale invariance,image processing | Point location,Computer science,Edge detection,Image processing,Operator (computer programming),Artificial intelligence,Detector,Computer vision,Mathematical optimization,Autocorrelation matrix,Algorithm,Finite element method,Smoothing | Conference |
Volume | ISSN | Citations |
5716 | 0302-9743 | 4 |
PageRank | References | Authors |
0.46 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dermot Kerr | 1 | 50 | 13.84 |
| Sonya Coleman | 2 | 16 | 5.59 |
| Bryan W. Scotney | 3 | 670 | 82.50 |