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PersistenceBundles: Visual Comparison of Topological Features

Adhitya Kamakshidasan 1 Vijay Natarajan 2
1 ILDA - Interacting with Large Data
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique
Abstract : In time-varying scientific datasets, the temporal evolution of interesting topological features is commonly displayed and explored using isosurfaces and tracking graphs. However, the visual representation of such tracking graphs supports only few interactive capabilities. Further, they capture information at a high level that requires specification of carefully chosen parameter values. To bridge this gap, we propose persistenceBundles, a flexible visualization metaphor that utilizes a hierarchical edge-bundling approach for visualizing tracked features using persistence hierarchies, and implicitly allows for intuitive interaction schemes. We demonstrate the effectiveness of our approach using the viscous finger dataset.
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Submitted on : Tuesday, August 11, 2020 - 3:18:02 PM
Last modification on : Friday, July 2, 2021 - 11:20:51 AM


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  • HAL Id : hal-02569089, version 2


Adhitya Kamakshidasan, Vijay Natarajan. PersistenceBundles: Visual Comparison of Topological Features. 2020. ⟨hal-02569089v2⟩



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