When matching regions from "similar" images, one typically has the problem of missing counterparts due to local or even global variations of segmentation fineness. Matching segmentation hierarchies, however, not only increases the chances of finding counterparts, but also allows us to exploit the manifold constraints coming from the topological relations between the regions in a hierarchy. In this paper we match hierarchies from panoramic images by constructing an association graph G/sub A/ whose vertices represent potential matches and whose edges indicate topological consistency. Specifically, a maximal [maximum] weight clique of GA corresponds to a topologically consistent mapping with maximal [maximum] total similarity. To find "heavy" cliques, we adapt a greedy pivoting-based heuristic to the weighted case. Experiments on pairs of panoramic images demonstrate the reliability of the results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hierarchical matching of panoramic images


    Beteiligte:
    Glantz, R. (Autor:in) / Pelillo, M. (Autor:in) / Kropatsch, W.G. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    364617 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Hierarchical Matching of Panoramic Images

    Glantz, R. / Pelillo, M. / Kropatsch, W. et al. | British Library Conference Proceedings | 2003


    Horizon matching for localizing unordered panoramic images

    Michel, D. / Argyros, A. A. / Lourakis, M. I. | British Library Online Contents | 2010


    Hierarchical contour matching in medical images

    Xin, Y. / Truyen, B. / Pratikakis, I. et al. | British Library Online Contents | 1996


    Characterization of Errors in Compositing Panoramic Images

    Sing Bing Kang / Weiss, R. | British Library Online Contents | 1999


    Recognition of Lane Markings in Panoramic Images

    Li, C. / Creusen, I. / Hazelhoff, L. et al. | Tema Archiv | 2014