We describe a calibration procedure for a multi-camera rig. Consider a large number of synchronized cameras arranged in some space, for example, on the walls of a room looking inwards. It is not necessary for all the cameras to have a common field of view, as long as every camera is connected to every other camera through common fields of view. Switching off the lights and waving a wand with an LED at the end of it, we can capture a very large set of point correspondences (corresponding points are captured at the same time stamp). The correspondences are then used in a large, nonlinear eigenvalue minimization routine whose basis is the epipolar constraint. The eigenvalue matrix encapsulates all points correspondences between every pair of cameras in a way that minimizing the smallest eigenvalue results in the projection matrices, to within a single perspective transformation. In a second step, given additional data from waving a rod with two LEDs (one at each end) the full projection matrices are calculated. The method is extremely accurate-the reprojections of the reconstructed points were within a pixel.


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    Title :

    Complete calibration of a multi-camera network


    Contributors:
    Baker, P. (author) / Aloimonos, Y. (author)


    Publication date :

    2000-01-01


    Size :

    293817 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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