Uniform TitleFeature tracking of 3D scalar datasets in the 'visit' environment
NamePangrikar, Rohini M. (author), Silver, Deborah (chair), Marsic, Ivan (internal member), Wilder, Joseph (internal member), Rutgers University, Graduate School - New Brunswick,
SubjectElectrical and Computer Engineering,
Scalar field theory
DescriptionVisualization of 3D scientific time varying datasets is a challenging task due to the large amount of data to be processed. Such datasets can contain evolving patterns, visualization of which can give an intuitive interpretation of a dataset under study. The Vizlab at Rutgers has pioneered in the development of feature tracking of 3D scalar datasets by isolating features or region of interest and tracking them over subsequent time steps by using spatial matching. Once these features are extracted and tracked, their evolutionary information can be used for iso-surface visualization by color coding each feature such that evolving patterns are easy to follow.
This thesis presents the development of Feature Tracking of 3D scalar datasets in VisIt, a free interactive parallel visualization and graphical analysis tool for viewing scientific data. The implementation is divided into two modules. The first module, implemented as 'FeatureTrack' operator plug-in, performs feature extraction, quantification and stores iso-surface information for each timestep, then tracks features over subsequent timesteps. The second module, implemented in conjunction with the 'polyfile' reader plug-in, 'TrackPoly' operator plug-in and 'PolyDataPlot' plot plug-in, performs visualization. Separation of visualization from feature tracking enables 'selective enhanced visualization' so only features of interest are selected and tracked over time.
NoteIncludes bibliographical references (p. 60-61).
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.