PathlinesExplorer — Image-based exploration of large-scale pathline fields
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Visual Computing Center (VCC)
KAUST Visualization Laboratory (KVL)
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AbstractPathlinesExplorer 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.
Conference/Event name2015 IEEE Scientific Visualization Conference (SciVis)