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    Recursive Camera Autocalibration with the Kalman Filter

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    ICIP2007_RecursiveCameraAutocalibration.pdf (193.4Kb)
    Date
    2007
    Author
    Gallego, Guillermo
    Ronda, José I.
    Valdés, Antonio
    García, Narciso
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    Abstract
    Given a projective reconstruction of a 3D scene, we address the problem of recovering the Euclidean structure of the scene in a recursive way. This leads to the application of Kalman filtering to the problem of camera autocalibration and to new algorithms for the autocalibration of cameras with varying parameters. This has benefits in saving memory and computational effort, and obtaining faster updates of the 3D Euclidean structure of the scene under consideration.
    URI
    http://hdl.handle.net/1853/48684
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    • Laboratory of Computational Computer Vision Publications [106]

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