课题基金 / 基金详情

Geometry and Topology of Polyhedral Surfaces

Geometry and Topology of Polyhedral Surfaces
多面体表面的几何和拓扑
批准号:
1405106
负责人:
Feng Luo
金额:
$17.17万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-07-15 至 2018-06-30

项目摘要

项目成果

Feng Luo的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Polyhedral surfaces are produced at an alarming rate ranging from 3-D scanning to medical imaging in the digital world these days. Almost all surfaces appeared in any computer screen are polyhedral surfaces. An urgent task is to produce a coarse categorization and classification of these surfaces. A mile stone result in mathematics dealing with surfaces is the classical uniformization theorem of Poincare-Koebe. It is an extremely powerful tool to classify smooth surfaces in the 3-space up to angle preserving diffeomorphisms (i.e., conformality). However, to algorithmically implement the classical uniformization theorem is very difficult. The PI and his collaborators introduced a discrete counterpart of conformality and proved a discrete version of uniformization theorem for polyhedral surfaces recently. This proposal investigates theoretically whether the discrete conformal geometry converges to the smooth conformal geometry as triangulation meshes become finer and finer. The numerical evidences for the convergence are very strong. The successful resolution of the convergence issue will have impacts on the applications of the discrete uniformization theorem in many fields.The classical uniformization theorem of Poincare and Koebe is the most powerful tool to classify smooth surfaces with Riemannian metrics according to conformal diffeomorphisms. This theorem is one of the pillars of the 20th century mathematics and has a wide range of applications within and outside mathematics. However, it is very difficult to use it algorithmically for categorizing polyhedral surfaces. Luo and his collaborators introduced a notion of discrete conformality for polyhedral surfaces and proved a discrete uniformization theorem recently. Two main features of the discrete conformality are the following. First, the discrete conformality is algorithmic and second, there exists a finite dimensional (convex) variational principle to find the discrete uniformization metric. The goal of the proposal is to investigate several major remaining issues in the discrete conformal geometry of polyhedral surfaces. For instance, there are strong numerical evidences suggesting that the discrete conformality converges to smooth (classical) conformality when the triangulations are suitably chosen. However, a theoretical proof of it is still lacking. This is the main problem to be resolved in the proposal. Luo plans to use the finite dimensional variational principles that he developed in the past 10 years to approach the convergence problem.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.4310/jdg/1527040872
发表时间: 2018-06-01
期刊: JOURNAL OF DIFFERENTIAL GEOMETRY
影响因子: 2.5
作者: [Gu, Xianfeng David, Luo, Feng, Wu, Tianqi]
通讯作者: Wu, Tianqi
DOI: 10.4310/jdg/1531188190
发表时间: 2014-01
期刊: Journal of Differential Geometry
影响因子: 2.5
作者: [X. Gu;Ren Guo;F. Luo;Jian Sun;Tianqi Wu]
通讯作者: X. Gu;Ren Guo;F. Luo;Jian Sun;Tianqi Wu
Pseudo-developing maps for ideal triangulations II: Positively oriented ideal triangulations of cone-manifolds
理想三角剖分的伪展开图 II:锥流形的正向理想三角剖分
DOI: 10.1090/proc/13290
发表时间: 2017
期刊: Proceedings of the American Mathematical Society
影响因子: 1
作者: [Casella, Alex, Luo, Feng, Tillmann, Stephan]
通讯作者: Tillmann, Stephan
ATD: Algorithms and Geometric Methods for Community and Anomaly Detection and Robust Learning in Complex Networks
  • 批准号:
    2220271
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2023
  • 负责人:
    Feng Luo
  • 依托单位:
Travel: NSF Student Travel Grant for 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • 批准号:
    2131662
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2021
  • 负责人:
    Feng Luo
  • 依托单位:
MRI: Acquisition of a Cyberinstrument for AI-Enabled Computational Science & Engineering
  • 批准号:
    2018069
  • 项目类别:
    Standard Grant
  • 资助金额:
    $65.1万
  • 财政年份:
    2020
  • 负责人:
    Feng Luo
  • 依托单位:
FRG: Collaborative Research: Geometric and Topological Methods for Analyzing Shapes
  • 批准号:
    1760527
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.43万
  • 财政年份:
    2018
  • 负责人:
    Feng Luo
  • 依托单位:
海外基金