We address the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. While almost all existing nonmetric distortion calibration methods need user involvement in one form or another, we present an automatic approach based on the robust the-least-median-of-squares (LMedS) estimator. Our approach is thus less sensitive to erroneous input data such as image curves that are mistakenly considered as projections of 3D linear segments. Our approach uniquely uses fast, closed-form solutions to the distortion coefficients, which serve as an initial point for a nonlinear optimization algorithm to straighten imaged lines. Moreover we propose a method for distortion model selection based on geometrical inference. Successful experiments to evaluate the performance of this approach on synthetic and real data are reported.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Nonmetric lens distortion calibration: closed-form solutions, robust estimation and model selection


    Beteiligte:
    El-Melegy, (Autor:in) / Farag, (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    420534 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Nonmetric Lens Distortion Calibration: Closed-form Solutions, Robust Estimation and Model Selection

    El-Melegy, M. / Farag, A. / IEEE | British Library Conference Proceedings | 2003


    Differential Methods for Nonmetric Calibration of Camera Lens Distortion

    Ahmed, M. T. / Farag, A. A. / IEEE | British Library Conference Proceedings | 2001




    Lens Distortion Calibration Method for Linear Array Cameras

    Fang, S. / Xia, X. / Xiao, Y. et al. | British Library Online Contents | 2013