Abstract We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood. It is possible to retrieve the exact location of a top-point from any coarse estimation through a closed-form vector equation which only depends on local derivatives in the estimated point. All these properties make top-points highly suitable as anchor points for invariant matching schemes. By means of a set of repeatability experiments and receiver-operator-curves we demonstrate the performance of top-points and differential invariant features as image descriptors.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Top-Points as Interest Points for Image Matching


    Beteiligte:
    Platel, B. (Autor:in) / Balmachnova, E. (Autor:in) / Florack, L. M. J. (Autor:in) / Haar Romeny, B. M. (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Top-Points as Interest Points for Image Matching

    Platel, B. / Balmachnova, E. / Florack, L. M. J. et al. | British Library Conference Proceedings | 2006


    Image Matching Using Generalized Scale-Space Interest Points

    Lindeberg, T. | British Library Online Contents | 2015


    Matching interest points of an object

    Islam, S. / Zhu Lin, | IEEE | 2005


    A robust interest points matching algorithm

    Il-Kyun Jung, / Lacroix, S. | IEEE | 2001


    Matching Interest Points of an Object

    Islam, M. S. / Lin, Z. | British Library Conference Proceedings | 2005