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In the design-based approach, randomness comes from the random sampling of points in the domain, wherein to observe the values of the spatial variable.
The computation time to generate single PDF for Osada is around 50 s including time to random sampling of points, random sampling of shape distribution, and calculating shape functions.
To capture such correlations, we propose a geometric modeling framework in which the image ensemble is treated as a sampling of points from a low-dimensional manifold in the ambient signal space.
Repeating the sampling of points from m(M) did not affect subsequent analyses.
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An initial sample of points is selected by means of tessellation stratified sampling (TSS).
Splines are used to interpolate the acquired profiles to increase the sample of points and Delaunay triangulation is used to obtain the normal vectors at every point.
However, where RANSAC uses random samples of points in the fitting trials, DIRSAC DIRects the sampling by ordering the points according to their contribution to the solution constraints.
For economic inspection of geometric errors on freeform surfaces, only a finite sample of points could be measured across the surface.
Initially, a random sample of points is generated.
Sample points that are off from a given coordinate will still produce a valid random sample of points within the mapping zone area for the cover analysis.
A wider sample of points was used to create the Voronoi polygons to act as a buffer so that within-sample the polygons were not influenced by edge effects.
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