Two novel complete sets of similarity invariants

Authors: Yu, H. and Bennamoun, M.

Volume: 3804 LNCS

Pages: 659-665

DOI: 10.1007/11595755_82

Abstract:

In this paper, we propose two complete sets of similarity invariant descriptors under the Fourier-Mellin Transform and the Analytical Fourier-Mellin Transform (AFMT) frameworks respectively. Furthermore, their numerical properties are presented and be revealed through image reconstruction. Experimental results indicate that our proposed invariant descriptors can fully reconstruct the original image eliminating any existing similarity transformation (such as rotation, translation and scale) from the original image. © Springer-Verlag Berlin Heidelberg 2005.

Source: Scopus

Two Novel Complete Sets of Similarity Invariants

Authors: Yu, H. and Bennamoun, M.

Pages: 659-665

Publisher: Springer

Place of Publication: Berlin / Heidelberg

ISBN: 978-3-540-30750-1

DOI: 10.1007/11595755_82

Abstract:

In this paper, we propose two complete sets of similarity invariant descriptors under the Fourier-Mellin Transform and the Analytical Fourier-Mellin Transform (AFMT) frameworks respectively. Furthermore, their numerical properties are presented and be revealed through image reconstruction. Experimental results indicate that our proposed invariant descriptors can fully reconstruct the original image eliminating any existing similarity transformation (such as rotation, translation and scale) from the original image.

http://www.springerlink.com/content/p64351t316qm3tk3/

Source: Manual

Preferred by: Hongchuan Yu