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Feature point detection in multiframe images
Zitová, Barbara ; Flusser, Jan ; Kautsky, J. ; Peters, G.
This paper deals with multiframe feature point 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, able to handledifferently blurred images. The point sets extracted from different frames have relatively high number of common elements, which is highly desirable for further processing. The performance of the method is demonstrated on satellite images.
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