This paper makes two contributions to the problem of needle-map recovery using shape-from-shading. Firstly, we provide a geometric update procedure which allows the image irradiance equation to be satisfied as a hard constraint. This improves the data-closeness of the recovered needle-map. Secondly, we consider how topographic constraints can be used to impose local consistency on the recovered needle-map. We present a curvature consistency model, and provide an experimental assessment of the new SFS framework on both real-world images and synthetic images with known ground-truth surface-normals.


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    Titel :

    Shape-from-shading using a curvature consistency constraint


    Beteiligte:
    Worthington, P.L. (Autor:in) / Hancock, E.R. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    219265 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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