Exploring Unsteady Flows by Parallel Extraction of Property-enhanced Pathlines and Interactive Post-filtering

Abstract

In this work a new approach of the visualization of unsteady high-resolution flow data in a network processing chain using property-enhanced traced particles or pathlines is presented. This approach allows to select subsets of pathlines according to additional given or calculated properties in the local environment and history of the pathlines and is an alternative method to classical feature extraction. As such, traditional property-controlled seeding strategies - as part of visualization mapping - are replaced by post-filtering based on multiplexed properties and geometries - as part of rendering. Inserted into our distributed visualization framework DSVR the selection of subsets is realized as an interactive "query over a stream" which considerably increases the degree of interaction in real time and also in 3D video-on-demand scenarios.