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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    Title :

    A hybrid shape decomposition using hyperquadrics and mathematical morphology


    Contributors:


    Publication date :

    1994-01-01


    Size :

    395655 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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