Staff View
Measuring 3D face geometry for integration with apperance models

Descriptive

TitleInfo (displayLabel = Citation Title); (type = uniform)
Title
Measuring 3D face geometry for integration with apperance models
Name (ID = NAME001); (type = personal)
NamePart (type = family)
Madan
NamePart (type = given)
Siddharth K.
DisplayForm
Siddharth K. Madan
Role
RoleTerm (authority = RUETD)
author
Name (ID = NAME002); (type = personal)
NamePart (type = family)
Dana
NamePart (type = given)
Kristin
Affiliation
Advisory Committee
DisplayForm
Kristin J Dana
Role
RoleTerm (authority = RULIB)
chair
Name (ID = NAME003); (type = personal)
NamePart (type = family)
Meer
NamePart (type = given)
Peter
Affiliation
Advisory Committee
DisplayForm
Peter Meer
Role
RoleTerm (authority = RULIB)
internal member
Name (ID = NAME004); (type = personal)
NamePart (type = family)
Silver
NamePart (type = given)
Deborah
Affiliation
Advisory Committee
DisplayForm
Deborah Silver
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)
2008-05
Language
LanguageTerm
English
PhysicalDescription
Form (authority = marcform)
electronic
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
xiii, 84 pages
Abstract
Capturing the appearance of skin is a nontrivial problem. The appearance of skin depends significantly on the illumination and viewing direction. The global and fine scale local geometry influence the appearance of skin. In this thesis, we work towards capturing the appearance of skin by acquiring the global geometry and modeling the skin texture.
We explore the use of structured light techniques to acquire global geometry. Two
novel structured light techniques have been developed. The techniques use image ratios
to obtain reliable reconstruction of low albedo regions. The use of laser scanner for
geometry acquisition and its advantages and disadvantages have also been discussed.
We model the interaction of light with the skin surface as a combination of surface and subsurface scattering. The reflectance due to subsurface scattering and the reflectance
due to surface scattering have different properties and are modeled separately.
The subsurface components lie on a lower dimensional linear subspace and the surface
components lie on nonlinear manifolds. We look into the use of linear dimensionality
reduction techniques to model the subsurface reflectance and nonlinear dimensionality
reduction techniques to model the surface reflectance. In the initial results, separate
modeling of the surface and the subsurface components preserved the specularities.
However, the specularities were lost when the reflectance were modeled without separating the surface and the subsurface components.
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 82-84).
Subject (ID = SUBJ1); (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (ID = SUBJ2); (authority = ETD-LCSH)
Topic
Three-dimensional imaging
Subject (ID = SUBJ3); (authority = ETD-LCSH)
Topic
Texture mapping
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.17351
Identifier
ETD_775
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T37S7P3G
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
Siddharth Madan
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)
14047232
Checksum (METHOD = SHA1)
05873184335291dcf452d6f258ea4ad34786ea5b
ContentModel
ETD
CompressionScheme
other
OperatingSystem (VERSION = 5.1)
windows xp
Format (TYPE = mime); (VERSION = NULL)
application/x-tar
Back to the top
Version 8.3.13
Rutgers University Libraries - Copyright ©2021