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dc.contributor.advisorAlim, Usman
dc.contributor.authorKhan, Fahim Hasan
dc.date2018-11
dc.date.accessioned2018-04-27T23:17:43Z
dc.date.available2018-04-27T23:17:43Z
dc.date.issued2018-04-26
dc.identifier.citationKhan, F. H. (2018). Superimposed Comparative Visualization of 3D and 4D Vector Fields. University of Calgary, Calgary, AB. doi:10.11575/PRISM/31854en_US
dc.identifier.urihttp://hdl.handle.net/1880/106568
dc.description.abstractComparative visualization of multiple vector fields is frequently needed in scientific visualization to analyze static (3D) or time-varying (4D) spatial data. Efficient tools and guidelines to do this effectively are however absent. Among many available methods for comparative visualization, only superimposition or overlay techniques can display two or more data instances at the same time in the same co-registered coordinate space. As a result, while it is most effective and has many advantages, it also suffers most from occlusion and cluttering issues when working with 3D and 4D data. In this work, we present a framework for superimposed co-visualization for comparing multiple vector fields effectually from 3D and 4D data. Our framework addresses the challenges of superimposed comparative visualization in two essential ways. We propose a seeding strategy using an adaptive hierarchical grid refinement algorithm combined with importance sampling that is based on an information-theoretic probability density function that combines aspects of multiple vector fields. Furthermore, we design hybrid visual representations combining streamlines and glyphs to render the visualization in an effectively less-occluded and clutter-free way while presenting only the information necessary for comparison. Several demonstration examples are presented for validating our framework.en_US
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectScientific Visualization
dc.subjectComputer Graphics
dc.subjectVector Field Visualization
dc.subject.classificationComputer Scienceen_US
dc.titleSuperimposed Comparative Visualization of 3D and 4D Vector Fields
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.facultyScience
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31854
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
dc.contributor.committeememberCosta Sousa, Mario
dc.contributor.committeememberJohansen, Craig
dc.publisher.placeCalgaryen
ucalgary.item.requestcopytrue


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University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.