Mean curvature motion of point cloud varifolds

Author:

Buet BlancheORCID,Rumpf Martin

Abstract

This paper investigates a discretization scheme for mean curvature motion on point cloud varifolds with particular emphasis on singular evolutions. To define the varifold a local covariance analysis is applied to compute an approximate tangent plane for the points in the cloud. The core ingredient of the mean curvature motion model is the regularization of the first variation of the varifold via convolution with kernels with small stencil. Consistency with the evolution velocity for a smooth surface is proven provided that a sufficiently small stencil and a regular sampling are considered. Furthermore, an implicit and a semi-implicit time discretization are derived. The implicit scheme comes with discrete barrier properties known for the smooth, continuous evolution, whereas the semi-implicit still ensures in all our numerical experiments very good approximation properties while being easy to implement. It is shown that the proposed method is robust with respect to noise and recovers the evolution of smooth curves as well as the formation of singularities such as triple points in 2D or minimal cones in 3D.

Funder

ANR

Publisher

EDP Sciences

Reference39 articles.

1. Ambrosio L., Fusco N. and Pallara D., Functions of Bounded Variation and Free Discontinuity Problems. Oxford mathematical monographs, Clarendon Press, Oxford, New York (2000).

2. Allard W.K., On the first variation of a varifold. Ann. Math. (1972) 417–491.

3. Parametric Approximation of Willmore Flow and Related Geometric Evolution Equations

4. Blanco J.L. and Rai P.K., Nanoflann: A C++ header-only library for nearest neighbor search wih KD-trees (2014).

5. Bogachev V.I., Measure Theory II. Springer Berlin Heidelberg (2007).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3