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In this thesis we examine a feature refinement technique that is based on scaling and rotating images prior to the features extraction. The main idea is that stable features of an image are not affected by any transformations of the image. As a consequence simulating these transformations and reducing the number of keypoints to the number of those keypoints that survive these simulations, results in a set of only stable keypoints for the image.

Produktbeschreibung
In this thesis we examine a feature refinement technique that is based on scaling and rotating images prior to the features extraction. The main idea is that stable features of an image are not affected by any transformations of the image. As a consequence simulating these transformations and reducing the number of keypoints to the number of those keypoints that survive these simulations, results in a set of only stable keypoints for the image.
Autorenporträt
To Quyen Hoang, born 1988 in Hai-Phong (Vietnam), is living in Germany since 1989. Bachelor Computer Science and Multimedia at the University of Augsburg. Currently studying Master Computer Science and Multimedia at the University of Augsburg.