This paper describes techniques to perform efficient and accurate recognition in difficult domains by matching dense, oriented edge pixels. We model three-dimensional objects as the set of two-dimensional views of the object. Translation, rotation, and scaling of the views are allowed to approximate full three-dimensional motion. A modified Hausdorff measure is used to determine which transformations of each object model are reported as matches. The use of dense, oriented edge pixels allows us to achieve a low rate of false positives. Techniques to prune the search space are used to obtain a system that is efficient in practice. We give results of the system recognizing object views in intensity and infrared images.


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    Titel :

    Recognition by matching dense, oriented edge pixels


    Beteiligte:
    Olson, C.F. (Autor:in) / Huttenlocher, D.P. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    684589 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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