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- W2005163357 abstract "This paper presents a method of improving the stability of non-linear iterative vision algorithms. A calibrated charged coupled device camera processes video imagery of moving space objects. A number of targets with known coordinates are attached to the surface of the object. The pose, the translation, and the attitude of the object with respect to the camera is computed iteratively. The cost function is parameterized by Euler angles. The proposed procedure estimates the optimal target locations within the area of interest in the 3D object space. The optimal configuration delivers the minimized condition number of the matrix of the linear system associated with the iterative algorithm. The method of optimizing target locations can be applied to iterative algorithms with other parameterizations of the cost function. It can also be applied to perform optimization of locations of targets attached to a 2D surface." @default.
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- W2005163357 date "2006-06-01" @default.
- W2005163357 modified "2023-10-14" @default.
- W2005163357 title "Optimal Target Placement Strategy for Improved Pose Estimation Accuracy" @default.
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- W2005163357 doi "https://doi.org/10.5589/q06-010" @default.
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