We describe a method for estimating the motion and structure of a scene from a sequence of images taken with a camera whose geometric calibration parameters are unknown. The scheme is based upon a recursive motion estimation scheme, called the "essential filter", extended according to the epipolar geometric representation presented by Faugeras, Luong, and Maybank (see Proc. of the ECCV92, vol.588 of LNCS, Springer Verlag, 1992) in order to estimate the calibration parameters as well. The motion estimates can then be fed into any "structure from motion" module that processes motion error, in order to recover the structure of the scene.<>


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    Title :

    Recursive estimation of camera motion from uncalibrated image sequences


    Contributors:
    Soatto, S. (author) / Perona, P. (author)


    Publication date :

    1994-01-01


    Size :

    390660 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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