Title :
PathlinesExplorer - Image-based exploration of large-scale pathline fields
Author :
Omniah H. Nagoor;Markus Hadwiger;Madhusudhanan Srinivasan
Author_Institution :
KAUST
Abstract :
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.
Keywords :
"Rendering (computer graphics)","Real-time systems","Three-dimensional displays","Buffer storage","Computers","Data visualization"
Conference_Titel :
Scientific Visualization Conference (SciVis), 2015 IEEE
DOI :
10.1109/SciVis.2015.7429512