To test the hypothesis, the following sequence of steps was applied to eight test reconstructions consisting of the largest amount of points: 1. Align each model to the map to estimate their scaling factors relatively to the real-world coordinate system. 2.
Plugins can be used to solve typical use cases in reconstruction, such as testing reconstruction algorithms on image slices, optimizing staining protocols in the laboratory, and analyzing reconstructed neurons to extract quantitative morphometric features.
We used three radial sampling patterns with different acceleration factors for testing reconstruction performance: 6 radial lines, 12 radial lines, and 24 radial lines as described in [39].
Polyphyly of sFRPs was clearly favored by phylogenetic analyses and was not caused by the tested reconstruction artifacts.
In this study, the authors tested reconstructions that incorporated relatively large and small changes in solar activity, and compared them to northern hemisphere temperature reconstructions over the past millennium.
We tested reconstructions using both Haar and Daubechies wavelets as well as a reconstruction based on nonlinear prediction (see, e.g. [ 48] section 4.2).
We emphasize that for this test the reconstruction of the primitive variables (v^{i}) turns out to be more robust than that achieved through the reconstruction of the products (Wv^{i}).
Table 3 shows the average number of iterations needed for test image reconstruction.
