Name
Abstract | ||
|---|---|---|
Significant point (SP) detection is an important pre-processing step in image registration, data fusion, object rec- ognition and in many other tasks. This paper deals with multiframe SP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated and shifted with respect to each other. We present a new method invariant under rotation that can handle diÄerently blurred images. Thanks to this, the point sets extracted from diÄerent frames have relatively high number of common elements. This property is highly desirable for further multiframe processing. The performance of the method is demonstrated experimentally on satellite images. " 1999 Elsevier Science B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1016/S0167-8655(98)00135-4 | Pattern Recognition Letters |
Keywords | Field | DocType |
rotation invariance,point detection,blurred image,multiframe image,multiple frames,significant point,remote sensing,robust detection,data fusion,image registration | Computer vision,Satellite,Pattern recognition,Sensor fusion,Artificial intelligence,Invariant (mathematics),Image registration,Mathematics,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
20 | 2 | 0167-8655 |
Citations | PageRank | References |
23 | 1.53 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barbara Zitová | 1 | 2000 | 105.15 |
| Jaroslav Kautsky | 2 | 108 | 20.75 |
| Gabriele Peters | 3 | 23 | 1.53 |
| Jan Flusser | 4 | 3067 | 215.61 |