Topological Data Analysis Made Easy with the Topology ToolKit

摘要: This tutorial presents topological methods for the analysis and visualization of scientific data from a user's perspective, with Topology ToolKit (TTK), recently released open-source library analysis. Topological have gained considerably in popularity maturity over last twenty years success stories established been documented wide range applications (combustion, chemistry, astrophysics, material sciences, etc.) both acquired simulated data, post-hoc in-situ contexts. While reference textbooks published on topic, no at IEEE VIS has covered this area recent years, never software level point-of-view. fills gap by providing beginner's introduction to practitioners, researchers, students, lecturers. In particular, instead focusing theoretical aspects algorithmic details, focuses how can be useful practice concrete tasks such as segmentation, feature extraction or tracking. The describes detail achieve these TTK. First, after an their application analysis, brief overview TTK's main entry point end users, namely ParaView, will presented. Second, features given. A running example described detail, showcasing access via Python, VTK/C++, C++. Third, hands-on sessions concretely show use TTK ParaView multiple, representative tasks. Fourth, usage presented developers, particular describing several examples projects that were built top Finally, some feedback regarding teaching platform Presenters include experts methods, core authors well active coming academia, labs, industry. large part dedicated exercises rich package (including pre-installs virtual machines, code, demos, video tutorials, provided participants. mostly targets practitioners researchers who are not but interested using them daily We also target already familiar contributing