Robust extraction of surface parameters from multiple view scattered and noisy 3-D measurements is a delicate task. It is shown that a stable local surface description can be extracted on sections where measurement constraints are redundant with respect to a polynomial model. A segmentation approach is developed to identify these sections. The approach is based on a measurement error model which takes into account the sensor's viewpoint. An application of the approach to the extraction of straight line sections from single scan 3-D surface profiles is presented.<>


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    Titel :

    Scene reconstruction and description: geometric primitive extraction from multiple viewed scattered data


    Beteiligte:
    Hebert, P. (Autor:in) / Laurendeau, D. (Autor:in) / Poussart, D. (Autor:in)


    Erscheinungsdatum :

    01.01.1993


    Format / Umfang :

    586987 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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