Region reconstruction from noisy samples
نویسندگان
چکیده
We describe a heuristic method for reconstructing a region in the plane from a noisy sample of points. The method uses radial basis functions with Gaussian kernels to compute a fuzzy membership function which provides an implicit approximation for the region.
منابع مشابه
A Heuristic Method for Region Reconstruction from Noisy Samples
We consider the problem of reconstructing a region in the plane from a noisy sample of points in it. Figure 1 shows the setting: Λ is a region of R2 and points are sampled in or near Λ. Note three things about the sampling: the points are well distributed in the interior of Λ; there are sample points outside Λ (these are the effect of noise in the sampling); and the boundary of Λ is not sampled...
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