Topology-inspired Galilean invariant vector field analysis

2016 IEEE Pacific Visualization Symposium (PacificVis)(2016)

引用 25|浏览46
暂无评分
摘要
Vector field topology is one of the most powerful flow visualization tools, because it can break down huge amounts of data into a compact, sparse, and easy to read description with little information loss. It suffers from one main drawback though: The definition of critical points, which is the foundation of vector field topology, is highly dependent on the frame of reference. In this paper we propose to consider every point as a critical point and locally adjust the frame of reference to the most persistent ones, that means the extrema of the determinant of the Jacobian. The result is not the extraction of one well-suited frame of reference, but the simultaneous visualization of the dominating frames of reference in the different areas of the flow field. Each of them could individually be perceived by an observer traveling along these critical points. We show all important ones at once.
更多
查看译文
关键词
Galilean invariant vector field topology,flow visualization tools,information loss,simultaneous visualization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要