Abstract We introduce an estimator for the curvature of curves and surfaces by using finite sample points drawn from a probability distribution whose support lies on the curve or surface.
First, we give a probabilistic procedure for estimating the curvature at a given point of a curve. Then, we extend it to estimate the Gaussian curvature of surfaces.
In the proposed probabilistic procedures, we use a relation between the number of selected points in the point cloud and the probability that a given point has a sufficient number of nearby points.
This relation allows us to control the required number of points in the point cloud. 
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