arXiv · 1905.10725
Efficient Weingarten Map and Curvature Estimation on Manifolds
Abstract
In this paper, we propose an efficient method to estimate the Weingarten map for point cloud data sampled from manifold embedded in Euclidean space. A statistical model is established to analyze the asymptotic property of the estimator. In particular, we show the convergence rate as the sample size tends to infinity. We verify the convergence rate through simulated data and apply the estimated Weingarten map to curvature estimation and point cloud simplification to multiple real data sets.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Yueqi Cao, Didong Li, Huafei Sun, Amir H Assadi, Shiqiang Zhang. 2020-09-07. Efficient Weingarten Map and Curvature Estimation on Manifolds. https://doi.org/10.1007/s10994-021-05953-4
Cite the original work for its findings. Save a collection to share your selection of sources.