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dc.contributor.authorNagoor, Omniah H.
dc.contributor.authorHadwiger, Markus
dc.contributor.authorSrinivasan, Madhusudhanan
dc.date.accessioned2016-04-14T09:15:31Z
dc.date.available2016-04-14T09:15:31Z
dc.date.issued2015-10-25
dc.identifier.doi10.1109/SciVis.2015.7429512
dc.identifier.urihttp://hdl.handle.net/10754/605228
dc.description.abstractPathlinesExplorer 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7429512
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectImage-based rendering
dc.subjectdeferred shading
dc.subjectearly-ray termination
dc.subjectexplorable images
dc.subjectpathline fields
dc.subjectper-pixel linked list
dc.titlePathlinesExplorer — Image-based exploration of large-scale pathline fields
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentKAUST Visualization Laboratory (KVL)
dc.contributor.departmentVisualization Laboratory
dc.identifier.journal2015 IEEE Scientific Visualization Conference (SciVis)
dc.conference.date25-30 Oct. 2015
dc.conference.name2015 IEEE Scientific Visualization Conference (SciVis)
dc.conference.locationChicago, IL
dc.eprint.versionPost-print
kaust.personNagoor, Omniah H.
kaust.personHadwiger, Markus
kaust.personSrinivasan, Madhusudhanan
refterms.dateFOA2018-06-14T07:57:56Z


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