Abstract:Abstract-This paper details a novel approach to specifying the optimal pose of planar targets in camera calibration that both reduces the number of images required, and improves the parameter estimates. This is accomplished within a semisupervised strategy where virtual images of planar calibration targets are generated and displayed. These virtual targets are then replicated by the user to generate an image network with optimal geometry for the recovery of the camera parameters. Optimal planar pose is specifi… Show more
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