Extrinsic Curvature Estimation by Closest Point Projection of Rays

We propose a parametrization-free framework for estimating the second fundamental form and the principal curvatures of a submanifold of $\mathbb{R}^d$. The method uses the closest point projections of a few short random rays and recovers the curvature from the curves that these projections induce on