A HEURISTIC METHOD FOR REGION RECONSTRUCTION FROM NOISY SAMPLES
EMILIO ASHTON VITAL BRAZIL, Luiz Henrique de Figueiredo · International Journal of Shape Modeling · 2009
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. We also evaluate our reconstruction method for several sampling conditions.