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Facial expression transfer by using 3D-aware expression flow
Descriptive
TitleInfo
Title
Facial expression transfer by using 3D-aware expression flow
Name
(type = personal)
NamePart
(type = family)
Yang
NamePart
(type = given)
Fei
NamePart
(type = date)
1981-
DisplayForm
Fei Yang
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Metaxas
NamePart
(type = given)
Dimitris
DisplayForm
Dimitris Metaxas
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Eliassi-Rad
NamePart
(type = given)
Tina
DisplayForm
Tina Eliassi-Rad
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Bekris
NamePart
(type = given)
Kostas
DisplayForm
Kostas Bekris
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Huang
NamePart
(type = given)
Xiaolei
DisplayForm
Xiaolei Huang
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside 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)
2013-10
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
We study the problem of transferring facial expressions from one face to another. Direct copying and blending face components using existing methods results in semantically unnatural composites, since expression is a global effect and a local face component in one expression is often incompatible with the shape and other components in another expression. To solve this problem we present the expression flow method, which is a 2D flow field that can warp the target face globally. We develop a shape fitting algorithm, which jointly constructs 3D face shapes to the input images with the same identity but different expressions. The expression flow is computed by projecting the difference between the two 3D shapes to 2D image plane. We apply our algorithms in several applications including face compositing, face morphing, video stitching, and facial expression exaggeration. Our system is able to generate faces with much higher fidelity than existing methods.
Subject
(authority = RUETD)
Topic
Computer Science
RelatedItem
(type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
(type = RULIB)
ETD
Identifier
ETD_5134
PhysicalDescription
Form
(authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xiv, 93 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = vita)
Includes vita
Note
(type = statement of responsibility)
by Fei Yang
Subject
(authority = ETD-LCSH)
Topic
Facial expression
Subject
(authority = ETD-LCSH)
Topic
Facial expression--Testing
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/T35B00J8
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Yang
GivenName
Fei
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
(encoding = w3cdtf);
(qualifier = exact);
(point = start)
2013-10-02 14:04:42
AssociatedEntity
Name
Fei Yang
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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Statistical Profile