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Sampling and Meshing Submanifolds in High Dimension
Jean-Daniel Boissonnat, Siargey Kachanovich, Mathijs Wintraecken

Sampling and Meshing Submanifolds in High Dimension

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

This paper presents a rather simple tracing algorithm to sample and mesh an m-dimensional sub-manifold of Rd for arbitrary m and d. We extend the work of Dobkin et al. to submanifolds of arbitrary dimension and codimension. The algorithm is practical and has been thoroughly investigated from both theoretical and experimental perspectives. The paper provides a full description and analysis of the data structure and of the tracing algorithm. The main contributions are : 1. We unify and complement the knowledge about Coxeter and Freudenthal-Kuhn triangulations. 2. We introduce an elegant and compact data structure to store Coxeter or Freudenthal-Kuhn triangulations and describe output sensitive algorithms to compute faces and cofaces or any simplex in the triangulation. 3. We present a manifold tracing algorithm based on the above data structure. We provide a detailled complexity analysis along with experimental results that show that the algorithm can handle cases that are far ahead of the state-of-the-art.

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Document Information

Document Title Sampling and Meshing Submanifolds in High Dimension
Author / Organization Jean-Daniel Boissonnat, Siargey Kachanovich, Mathijs Wintraecken
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-196916
Original Source Link Visit Source Page on hal.science »