A general formalism for detecting geometric configurations of image data is presented. The author first estimates an ideal geometric configuration that supposedly exists, and then checks to what extent the original edges must be displaced in order to support the hypothesis. All types of tests are reduced to computing a single measure of edge displacement which provides a universal measure of uncertainty applicable to all types of decision-making.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hypothesizing and testing geometric attributes of image data


    Beteiligte:
    Kanatani, K. (Autor:in)


    Erscheinungsdatum :

    01.01.1990


    Format / Umfang :

    325518 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Hypothesizing a 3D scene from a segmented aerial photograph

    Schutte, K. / Boersema, G. / Institute of Geodesy and Photogrammetry et al. | British Library Conference Proceedings | 1994


    Hypothesizing Structures in Edge-Focused Cerebral Magnetic Resonance Images Using Graph-Theoretic Cycle Enumeration

    Raman, S. V. / Sarkar, S. / Boyer, K. L. | British Library Online Contents | 1993


    Integration of Geometric and Non-Geometric Attributes for Fast Object Recognition

    Grewe, L. / Kak, A. / SPIE | British Library Conference Proceedings | 1993



    Image Quality Attributes

    Phillips, Jonathan B / Eliasson, Henrik | Wiley | 2018