A corner is modelled as the intersection of two lines. A corner point is that point on an input digital arc whose a posteriori probability of being a corner is the maximum among all the points on the arc. The performance of the corner detector is characterized by its false alarm rate, misdetection rate, and the corner location error all as a function of the noise variance, the included corner angle, and the arc length. Theoretical expressions for the quantities compare well with experimental results.<>


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    Title :

    A Bayesian corner detector


    Contributors:
    Xining Zhang (author) / Haralick, R.M. (author) / Ramesh, V. (author) / Bedekar, A.S. (author) / Phillips, I. (author)


    Publication date :

    1994-01-01


    Size :

    427126 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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