MATEMATIČKI VESNIK
МАТЕМАТИЧКИ ВЕСНИК



MATEMATIČKI VESNIK
HOW MANY POINTS IN A POINT CLOUD IS SUFFICIENT FOR ACCURATE ESTIMATION OF THE CURVATURE
R. Mirzaie

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.

Creative Commons License

Keywords: Curve; surface; curvature; manifold.

MSC: 53C21, 53C23, 62D05

DOI: 10.57016/MV-ONvQ1063

Pages:  1--11