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Jan-Michael Frahm Research Assistant Professor Department of Computer Science University of North Carolina at Chapel Hill Tel: (919) 962 1703 Fax: (919) 962 1699 E-mail: jmf@cs.unc.edu |
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Camera-Selfcalibration with additional sensory information | ||||
The subject of camera
selfcalibration is the computation of the internal camera parameters
like focal length, aspect ratio, pricipal point, and skew. All these
approaches tend to fit to noise. |
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Our appraoch is to use additonal orientation information to improve the selfcalibration. Our work shows that in case of a rotating camera the camera calibration problem is linear even in the case that all intrinsic parameters vary (Ph. D. thesis, ICCV 2003). For arbitrarily moving cameras the calibration problem is also linear but underdetermined for the general case of varying all intrinsic parameters. However, if certain constraints are applied to the intrinsic parameters the camera calibration can be computed linearily. | ||||
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Furthermore we analyzed the robustness of the linear calibration. To improve the reliability of this linear calibration we used a maximum a posterori estimation which uses the linear calibration as an initial value (DAGM 2003). | ||||