From numerics to combinatorics: a survey of topological methods for vector field visualization

被引:23
作者
Wang, Wentao [1 ]
Wang, Wenke [3 ]
Li, Sikun [1 ,2 ]
机构
[1] Natl Univ Def Technol, Coll Comp, Changsha 410073, Hunan, Peoples R China
[2] Natl Univ Def Technol, State Key Lab High Performance Comp, Changsha 410073, Hunan, Peoples R China
[3] Natl Univ Def Technol, Inst Ocean Sci & Engn, Changsha 410073, Hunan, Peoples R China
基金
美国国家科学基金会;
关键词
Vector field visualization; Topology; Degree; Conley index; Morse decomposition; Discrete Morse theory; Hodge decomposition; Robustness; LAGRANGIAN COHERENT STRUCTURES; HELMHOLTZ-HODGE DECOMPOSITION; OF-THE-ART; FLOW VISUALIZATION; MORSE DECOMPOSITIONS; CRITICAL-POINTS; TANGENT CURVES; SIMPLIFICATION; EXTRACTION; TRACKING;
D O I
10.1007/s12650-016-0348-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Topological methods are important tools for data analysis, and recently receiving more and more attention in vector field visualization. In this paper, we give an introductory description to some important topological methods in vector field visualization. Besides traditional methods of vector field topology, space-time method and finite-time Lyapunov exponent, we also include in this survey Hodge decomposition, combinatorial vector field topology, Morse decomposition, and robustness, etc. In addition to familiar numerical techniques, more and more combinatorial tools emerge in vector field visualization. The numerical methods often rely on error-prone interpolations and interpolations, while combinatorial techniques produce robust but coarse features. In this survey, we clarify the relevant concepts and hope to guide future topological research in vector field visualization.
引用
收藏
页码:727 / 752
页数:26
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