Robust detection of significant points in multiframe images

Autor: Jaroslav Kautsky, Jan Flusser, Gabriele Peters, Barbara Zitová
Rok vydání: 1999
Předmět:
Zdroj: Pattern Recognition Letters. 20:199-206
ISSN: 0167-8655
DOI: 10.1016/s0167-8655(98)00135-4
Popis: Significant point (SP) detection is an important pre-processing step in image registration, data fusion, object recognition 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 diAerently blurred images. Thanks to this, the point sets extracted from diAerent 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.
Databáze: OpenAIRE