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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    Title :

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


    Contributors:
    Hebert, P. (author) / Laurendeau, D. (author) / Poussart, D. (author)


    Publication date :

    1993-01-01


    Size :

    586987 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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