PathlinesExplorer — Image-based exploration of large-scale pathline fields
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionComputer Science Program
Visual Computing Center (VCC)
KAUST Visualization Laboratory (KVL)
Visualization Laboratory
Date
2016-03-10Online Publication Date
2016-03-10Print Publication Date
2015-10Permanent link to this record
http://hdl.handle.net/10754/605228
Metadata
Show full item recordAbstract
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.Citation
Nagoor, O. H., Hadwiger, M., & Srinivasan, M. (2015). PathlinesExplorer - Image-based exploration of large-scale pathline fields. 2015 IEEE Scientific Visualization Conference (SciVis). doi:10.1109/scivis.2015.7429512Conference/Event name
2015 IEEE Scientific Visualization Conference (SciVis)ae974a485f413a2113503eed53cd6c53
10.1109/SciVis.2015.7429512