Varrier is a head-tracked, 35-panel tiled autostereoscopic display system which is produced by The Electronic Visualization Laboratory (EVL) at the University of Illinois at Chicago (UIC). Varrier produces autostereoscopic imagery through a combination of a physical parallax barrier and a virtual barrier, so that the stereoscopic images are directed correctly into the viewer’s eyes. Since a small amount of rotation and translation between physical and virtual barriers can cause large-scale effects, registration is critical for correct stereo viewing. The process is automated by examining image frames of two video cameras separated by the interocular distance as a simulation of human eyes. Three registration parameters for each panel are calibrated in the process. An arbitrary start condition is allowed and a robust stopping criterion is used to end the process and report results. Instead of exhaustive three dimensional searching, an efficient two phase calibration method is introduced. The combination of a heuristic rough calibration and an adaptive fine calibration guarantees a fast searching process with the best solution.


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    Title :

    Camera Based Automatic Calibration for the Varrier-System


    Contributors:
    Jinghua Ge, (author) / Sandin, D. (author) / Peterka, T. (author) / Margolis, T. (author) / DeFanti, T. (author)


    Publication date :

    2005-01-01


    Size :

    302896 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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