Name
Abstract | ||
|---|---|---|
: Feature point (FP) detection is an important pre-processing step in image registration, datafusion, object recognition and in many other tasks. This paper deals with multiframe FP detection, i.e.detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated andshifted with respect to each other. We present a new method invariant under rotation that can handledifferently blurred images. Thanks to this, the point sets extracted from different frames have... |
Year | Venue | Keywords |
|---|---|---|
1998 | IVCNZ | image registration,object recognition |
Field | DocType | Citations |
Computer vision,Pattern recognition,Object-class detection,Feature detection (computer vision),Feature (computer vision),Computer science,Sensor fusion,Artificial intelligence,Invariant (mathematics),Image registration,Cognitive neuroscience of visual object recognition,Difference of Gaussians | Conference | 2 |
PageRank | References | Authors |
0.38 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaroslav Kautsky | 1 | 108 | 20.75 |
| Barbara Zitová | 2 | 2000 | 105.15 |
| Jan Flusser | 3 | 3067 | 215.61 |
| Gabriele Peters | 4 | 18 | 6.82 |