PathlinesExplorer — Image-based exploration of large-scale pathline fields

Omniah H. Nagoor, Markus Hadwiger, Madhusudhanan Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


PathlinesExplorer is a novel image-based tool, which has been designed to visualize large scale pathline fields on a single computer [7]. PathlinesExplorer integrates explorable images (EI) technique [4] with order-independent transparency (OIT) method [2]. 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 languageEnglish (US)
Title of host publication2015 IEEE Scientific Visualization Conference (SciVis)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages2
ISBN (Print)9781467397858
StatePublished - Mar 10 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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