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The "absolute orientation problem" (Jones 1980) defines the search for rotation and scale components.
Such models require the solution to the absolute orientation problem to identify duplicates.
To address this problem, we align the color space of each frame I to that of the current mosaic J by solving an absolute orientation problem in color space.
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The coordinates of these correspondences are input to the least square problem of absolute orientation (Horn 1987) that minimizes e (see Eq. 1).
Then, Förstner (1987) further evaluated precision, controllability and robustness for planning purpose in vision based measurement problems, which included template matching, absolute orientation and relative orientation.
The central idea of the proposed algorithm is to solve the pose estimation problem with fast speed, high accuracy and noise-resistance by designing an improved orthogonal iteration algorithm with optimized absolute orientation solution.
In remote sensing images, the absolute orientation of objects is arbitrary.
Control points are widely used for setting the absolute orientation (e.g., Saidi et al. 2011).
Figure 4A shows the shift amplitude on a cell-by-cell basis in relation to the absolute orientation difference between cells' preferred orientation and the adapting stimulus.
We used absolute orientation to map every source frame's color to the same target frame.
Problem solving consisted of the five general stages: problem orientation, problem definition and formulation, generation of alternatives, decision making, and verification.
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Justyna Jupowicz-Kozak
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