PathlinesExplorer is a novel image-based tool, which has been designed to visualize large scale pathline fields on a single computer . PathlinesExplorer integrates explorable images (EI) technique  with order-independent transparency (OIT) method . What makes this method different is that it allows users to handle large data on a single workstation. Although it is a view-dependent method, PathlinesExplorer combines both exploration and modification of visual aspects without re-accessing the original huge data. Our approach is based on constructing a per-pixel linked list data structure in which each pixel contains a list of pathline segments. With this view-dependent method, it is possible to filter, color-code, and explore large-scale flow data in real-time. In addition, optimization techniques such as early-ray termination and deferred shading are applied, which further improves the performance and scalability of our approach.
|Original language||English (US)|
|Title of host publication||2015 IEEE Scientific Visualization Conference (SciVis)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||2|
|State||Published - Mar 10 2016|