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COMPARACIóN DE TéCNICAS DE CALIBRACIóN DE CáMARAS DIGITALES

DOI: 10.4067/S0718-13372005000100007

Keywords: computer vision, camera calibration, 3d-2d homograph, projection matrix.

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Abstract:

this work presents a comparison of the calibration techniques proposed by tuceryan et al. [15], trucco et al. [13] and zhang [20], suggesting different ways to determine the parameters, starting from known 3d points and their corresponding points in the 2d image plane. the correspondence is manually extracted, being the obtained parameter accuracies (extrinsic and intrinsic) the most important. the passive patterns used consider the calibration techniques with different homographs, depending on the existing process planes. zhang [20] proposes an approximation based on patterns located on a 2d planar surface, where the camera or the pattern are displaced without knowledge of the motion. tuceryan et al. [15] and trucco et al. [13] base their procedure in a known 3d model and its correspondence on a 2d image plane, the difference being in the consideration of the intrinsic parameters that must be determined or considered in the final camera matrix. the algorithms were implemented using matlab 6.0, according to the interpretation of the works and optimization techniques extracted from the cited literature.

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