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dc.contributor.advisorHadwiger, Markus
dc.contributor.authorNagoor, Omniah H.
dc.date.accessioned2014-06-11T22:07:47Z
dc.date.available2014-06-11T22:07:47Z
dc.date.issued2014-05-27
dc.identifier.doi10.25781/KAUST-J05A1
dc.identifier.urihttp://hdl.handle.net/10754/321000
dc.description.abstractWhile real-time applications are nowadays routinely used in visualizing large nu- merical simulations and volumes, handling these large-scale datasets requires high-end graphics clusters or supercomputers to process and visualize them. However, not all users have access to powerful clusters. Therefore, it is challenging to come up with a visualization approach that provides insight to large-scale datasets on a single com- puter. Explorable images (EI) is one of the methods that allows users to handle large data on a single workstation. Although it is a view-dependent method, it combines both exploration and modification of visual aspects without re-accessing the original huge data. In this thesis, we propose a novel image-based method that applies the concept of EI in visualizing large flow-field pathlines data. The goal of our work is to provide an optimized image-based method, which scales well with the dataset size. Our approach is based on constructing a per-pixel linked list data structure in which each pixel contains a list of pathlines 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.
dc.language.isoen
dc.subjectimage-based
dc.subjectper-pixel linked list
dc.subjectpathlines fields
dc.subjectexplorable images
dc.subjectdeferred shading
dc.subjectearly-ray termination
dc.titleImage-based Exploration of Large-Scale Pathline Fields
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberHadwiger, Markus
dc.contributor.committeememberHeidrich, Wolfgang
dc.contributor.committeememberMoshkov, Mikhail
thesis.degree.disciplineComputer Science
thesis.degree.nameMaster of Science


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