Forensic disciplines are called upon to locate evidence from a single camera or static video camera, and both the angle of incidence and resolution can limit the accuracy of single image photogrammetry. This research compares a baseline of known 3D data points representing evidence locations to evidence locations determined through single image photogrammetry and evaluates the effect that object resolution (measured in pixels), and angle of incidence has on accuracy. Solutions achieved using an automated process where a camera match alignment is calculated from common points in the 2D imagery and the 3D environment, were compared to solutions achieved in a more manual method by iteratively adjusting the camera’s position, orientation, and field-of-view until an alignment is achieved. This research independently utilizes both methods to achieve photogrammetry solutions and to locate objects within a 3D environment. Results are compared for a greater understanding of the accuracies that can be achieved using camera matching photogrammetry for evidence placement when only a single image is available.


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    Titel :

    Accuracies in Single Image Camera Matching Photogrammetry


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Hashemian, Alireza (Autor:in) / King, Eric (Autor:in) / Gillihan, Robert (Autor:in) / Miller, Seth (Autor:in) / Terpstra, Toby (Autor:in) / Neale, William (Autor:in)

    Kongress:

    SAE WCX Digital Summit ; 2021



    Erscheinungsdatum :

    06.04.2021




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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