Two novel complete sets of similarity invariants
Authors: Yu, H. and Bennamoun, M.
Volume: 3804 LNCS
Pages: 659-665
ISBN: 9783540307501
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