We propose a randomized method for the detection of symmetry in polyhedra without assuming the predetermination of the centroids of the objects. Using a voting process, which is the main concept of the Hough transform in image processing, we transform the geometric computation for symmetry detection based on graph theory, to the peak detection problem in a voting space in the context of the Hough transform.


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    Titel :

    Symmetry detection by random sampling and voting process


    Beteiligte:
    Imiya, A. (Autor:in) / Ueno, T. (Autor:in) / Fermin, I. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    206477 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Symmetry Detection by Random Sampling and Voting Process

    Imiya, A. / Ueno, T. / Fermin, I. et al. | British Library Conference Proceedings | 1999


    Motion Analysis by Random Sampling and Voting Process

    Imiya, A. / Fermin, I. | British Library Online Contents | 1999


    Monitoring and Voting in Asynchronous Sampling

    Slivinsky, Charler / Givens, James | IEEE | 1985


    Monitoring and voting in asynchronous sampling (flight control)

    Slivinsky, C. / Givens, J. jun. | Tema Archiv | 1985


    Random sampling

    Lorens, C. S. | NTRS | 1957