Two Novel Complete Sets of Similarity Invariants

    Research output: Contribution to journalArticle

    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.
    Original languageEnglish
    Pages (from-to)659-665
    JournalLecture Notes in Computer Science
    Volume3804
    Publication statusPublished - 2005

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