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Feature tracking & visualization in 'VISIT'

Descriptive

TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Feature tracking & visualization in 'VISIT'
TitleInfo (ID = T-2); (type = alternative)
Title
Feature tracking and visualization in VISIT
Identifier
ETD_2679
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056149
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Visualization
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Three-dimensional imaging
Abstract (type = abstract)
The study and analysis of large experimental or simulation datasets in the field of science and engineering pose a great challenge to the scientists. These complex simulations generate data varying over a period of time. Scientists need to glean large quantities of time-varying data to understand the underlying physical phenomenon. This is where visualization tools can assist scientists in their quest for analysis and understanding of scientific data. Feature Tracking, developed at Visualization & Graphics Lab (Vizlab), Rutgers University, is one such visualization tool. Feature Tracking is an automated process to isolate and analyze certain regions or objects of interest, called ‘features’ and to highlight their underlying physical processes in time-varying 3D datasets. In this thesis, we present a methodology and documentation on how to port ‘Feature Tracking’ into VisIt. VisIt is a freely available open-source visualization software package that has a rich feature set for visualizing and analyzing data. VisIt can successfully handle massive data quantities in the range of tera-scale. The technology covered by this thesis is an improvement over the previous work that focused on Feature Tracking in VisIt. In this thesis, the emphasis is on the visualization of features by assigning a constant color to the features (or objects) that move (or change their shape) over a period of time. Our algorithm gives scientists an option to choose only the features of interest amongst all the extracted objects. Scientists can then focus their attention solely on those objects that could help them in understanding the underlying mechanism better. We tested our algorithm on various datasets and present the results in this thesis.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
x, 121 p. : ill.
InternetMediaType
application/pdf
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text/xml
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Naveen Atmakuri
Name (ID = NAME-1); (type = personal)
NamePart (type = family)
Atmakuri
NamePart (type = given)
Naveen
NamePart (type = date)
1983-
Role
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author
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Naveen Atmakuri
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Silver
NamePart (type = given)
Deborah
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chair
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Advisory Committee
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Deborah Silver
Name (ID = NAME-3); (type = personal)
NamePart (type = family)
Mammone
NamePart (type = given)
Richard
Role
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co-chair
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Advisory Committee
DisplayForm
Richard Mammone
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Wilder
NamePart (type = given)
Joseph
Role
RoleTerm (authority = RULIB)
co-chair
Affiliation
Advisory Committee
DisplayForm
Joseph Wilder
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3S75G3P
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Atmakuri
GivenName
Naveen
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-04-29 10:58:31
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Naveen Atmakuri
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
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.
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Technical

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ETD
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
7557120
Checksum (METHOD = SHA1)
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