Staff View
Feature tracking of 3D scalar datasets in the 'visit' environment

Descriptive

TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
Feature tracking of 3D scalar datasets in the 'visit' environment
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Pangrikar
NamePart (type = given)
Rohini M.
DisplayForm
Rohini M. Pangrikar
Role
RoleTerm (authority = RUETD)
author
Name (ID = NAME002); (type = personal)
NamePart (type = family)
Silver
NamePart (type = given)
Deborah
Affiliation
Advisory Committee
DisplayForm
Deborah Silver
Role
RoleTerm (authority = RULIB)
chair
Name (ID = NAME003); (type = personal)
NamePart (type = family)
Marsic
NamePart (type = given)
Ivan
Affiliation
Advisory Committee
DisplayForm
Ivan Marsic
Role
RoleTerm (authority = RULIB)
internal member
Name (ID = NAME004); (type = personal)
NamePart (type = family)
Wilder
NamePart (type = given)
Joseph
Affiliation
Advisory Committee
DisplayForm
Joseph Wilder
Role
RoleTerm (authority = RULIB)
internal member
Name (ID = NAME005); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME006); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2008
DateOther (qualifier = exact); (type = degree)
2008-10
Language
LanguageTerm
English
PhysicalDescription
Form (authority = marcform)
electronic
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
ix, 61 pages
Abstract
Visualization 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.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 60-61).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Scalar field theory
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17540
Identifier
ETD_1174
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3M32W3K
Genre (authority = ExL-Esploro)
ETD graduate
Back to the top

Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
AssociatedEntity (AUTHORITY = rulib); (ID = 1)
Name
Rohini Pangrikar
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
RightsEvent (AUTHORITY = rulib); (ID = 1)
Type
Permission or license
Detail
Non-exclusive ETD license
AssociatedObject (AUTHORITY = rulib); (ID = 1)
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Back to the top

Technical

Format (TYPE = mime); (VERSION = )
application/x-tar
FileSize (UNIT = bytes)
1935360
Checksum (METHOD = SHA1)
c60d175fd90f9ade45ed0a9be82619cdff4c174f
ContentModel
ETD
CompressionScheme
other
OperatingSystem (VERSION = 5.1)
windows xp
Format (TYPE = mime); (VERSION = NULL)
application/x-tar
Back to the top
Version 8.4.8
Rutgers University Libraries - Copyright ©2022