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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    Title :

    3D structure from uncalibrated image sequence


    Contributors:
    Dan Fu, (author) / Zhiqiang Qiu, (author) / Qifeng Yu, (author)


    Publication date :

    2006-01-01


    Size :

    2879939 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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