A new approach to recover 3D structure from the aerial uncalibrated image sequence is presented. Unlike previous methods, the method uses a factorization-based algorithm to recover 3D models' initial values and bundle adjustment to get accurate results. The focal lengths can be supposed to be the only unknown intrinsic parameters. The factorization-based method performs a projective reconstruction by using a linear factorization algorithm and upgrades the projective solution to a Euclidean one by enforcing some metric constraints. Bundle adjustment refines a visual reconstruction to produce jointly optimal structure and viewing parameter estimates when we get the ideal initial values from the factorization-based methods. Experiments results on synthetic and real image sequences verified the new approach's precise and efficiency.


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    Titel :

    3D structure from uncalibrated image sequence


    Beteiligte:
    Dan Fu, (Autor:in) / Zhiqiang Qiu, (Autor:in) / Qifeng Yu, (Autor:in)


    Erscheinungsdatum :

    01.01.2006


    Format / Umfang :

    2879939 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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