Curve reconstruction from noisy samples
Golin, Mordecai J.
Ramos, Edgar A.
|Summary||We present an algorithm to reconstruct a collection of disjoint smooth closed curves from noisy samples. Our noise model assumes that the samples are obtained by ﬁrst drawing points on the curves according to a locally uniform distribution followed by a uniform perturbation in the normal directions. Our reconstruction is faithful with probability approaching 1 as the sampling density increases.|
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