This paper discusses a hybrid shape decomposition method using hyperquadrics to describe a part, mathematical morphology to find an initial ellipse, and polygonal approximation to find additional terms of the hyperquadrics. We adopt a weighted least square fitting to find hyperquadrics using the Levenberg-Marquardt optimization method. The proposed method is illustrated in decomposing some 2D binary images such as a natural object and a man-made object. It can be easily extended to 3D range data. The experimental results show that our method is a promising approach in shape representation.<>


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    Titel :

    A hybrid shape decomposition using hyperquadrics and mathematical morphology


    Beteiligte:
    Ho Sung Kim (Autor:in) / Haralick, R.M. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    395655 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Hybrid Shape Decomposition using Hyperquadrics and Mathematical Morphology

    Ho Sung Kim / Haralick, R. M. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994



    Three-Dimensional Shape Modeling with Extended Hyperquadrics

    Ohuchi, M. / Saito, T. / National Research Council of Canada | British Library Conference Proceedings | 2001



    Shape Recognition Using Recursive Mathematical Morphology

    Schauf, M. / Haralick, R. M. / University of Naples et al. | British Library Conference Proceedings | 1997