Photogrammetry, camera matching, and model-based image matching are commonly used techniques to analyze photographs and video for accident reconstruction and other forensic applications. Investigators are often tasked with taking measurements from photographs or determining speed from a video. All such calculations are based on fundamental geometric principles governing image projection inside a camera. Most treatments in the literature express the image projection equations in matrix notation rather than closed-form solutions. The purpose of this paper is to present a geometric derivation of the image projection equations in closed form that can be readily applied by a qualified investigator without the need for specialized software. In addition, a simple brute force optimization procedure is described to perform camera matching and model-based image matching. Examples are provided to demonstrate the method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Geometric Derivation of Camera Equations


    Weitere Titelangaben:

    Sae Int. J. Adv. and Curr. Prac. in Mobility


    Beteiligte:
    Funk, James (Autor:in)

    Kongress:

    WCX SAE World Congress Experience ; 2022



    Erscheinungsdatum :

    2022-03-29


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    A geometric derivation of Kane's equations

    STORCH, JOEL / GATES, STEPHEN | AIAA | 1989


    Geometric camera calibration: the virtual camera approach

    Cumani, A. / Guiducci, A. | British Library Online Contents | 1995



    Catadioptric Camera Calibration Using Geometric Invariants

    Ying, X. / Hu, Z. / IEEE | British Library Conference Proceedings | 2003


    Catadioptric camera calibration using geometric invariants

    Xianghua Ying, / Zhanyi Hu, | IEEE | 2003