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Pixelated abstraction

Descriptive

TitleInfo
Title
Pixelated abstraction
Name (type = personal)
NamePart (type = family)
Gerstner
NamePart (type = given)
Timothy
NamePart (type = date)
1987-
DisplayForm
Timothy Gerstner
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Nealen
NamePart (type = given)
Andrew
DisplayForm
Andrew Nealen
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Metaxas
NamePart (type = given)
Dimitris
DisplayForm
Dimitris Metaxas
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Stone
NamePart (type = given)
Matthew
DisplayForm
Matthew Stone
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2013
DateOther (qualifier = exact); (type = degree)
2013-05
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Pixel art remains a contemporary art form and a common rendering technique in digital games and media. However, the manual creation of pixel art is often time consuming and requires a degree of skill that is not easily obtained by novices of the art. Few, if any, methods exist to automatically generate pixel art. Naive downsampling techniques such as nearest neighbor and cubic downsampling do not adequately preserve features or maintain a vibrant palette. In this thesis we present our work on automatically and semi-automatically converting high resolution images into an output that approximates the manual results of pixel artists. This is a multi-step, iterative algorithm that simultaneously solves for a palette and a mapping of segments of the input image to pixels in the output. We provide a set of controls that give the user flexible influence on the output and the ability to work anywhere between a purely automated and purely manual process. We present the automated and semi-automated results of our algorithm and compare them to the results generated using naive downsampling techniques and the manual results produced by expert pixel artists. Through a formal user study and interviews with expert pixel artists, we demonstrate that our results offer an improvement over the naive methods.
Subject (authority = RUETD)
Topic
Computer Science
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_4589
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
v, 44 p. : ill.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Timothy Gerstner
Subject (authority = ETD-LCSH)
Topic
Computer drawing
Subject (authority = ETD-LCSH)
Topic
Art, Modern--21st century
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000068859
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/T3Q23XVT
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Gerstner
GivenName
Timothy
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2013-04-05 17:06:28
AssociatedEntity
Name
Timothy Gerstner
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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