This paper presents a unified framework for achieving robust and real-time image stabilization and rectification. While compensating for a small amount of image jitter due to platform vibration and hand tremble is not a very difficult task, canceling a large amount of image jitter, due to significant, long-range, and purposeful camera motion (such as panning, zooming, and rotation), is much more challenging. Our framework selectively compensates for unwanted camera motion to maintain a stable view of the scene. The rectified display has the same information content, but is shown in a much more operator-friendly way. Our contribution is threefold: (1) proposing a unified image rectification algorithm to cancel large and purposeful image motion to achieve a stable display that is applicable for both farfield and near-field image conditions, (2) improving the robustness and real-time performance of these algorithms with extensive validation on real images, and (3) illustrating the potential of these algorithms by applying them to real-world problems in diverse application domains.


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    Titel :

    Robust and Real-Time Image Stabilization and Rectification


    Beteiligte:
    Koppel, Dan (Autor:in) / Wang, Yuan-Fang (Autor:in) / Lee, Hua (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    293573 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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