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A relationship between human shape categorization and the statistics of natural shapes
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
A relationship between human shape categorization and the statistics of natural shapes
Identifier
ETD_1464
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051082
Language
LanguageTerm
(authority = ISO639-2);
(type = code)
eng
Genre
(authority = marcgt)
theses
Subject
(ID = SBJ-1);
(authority = RUETD)
Topic
Psychology
Subject
(ID = SBJ-1);
(authority = ETD-LCSH)
Topic
Form perception
Abstract
We studied the classification of shapes into broad natural categories, such as "animal'" and "leaf"', into which many shapes can proceed without overt basic-level recognition. Many shape representation models make implicit assumptions about what shape structures often occur in natural shapes, but such assumptions are not generally closely tied to real-world measurements. In order to tune a model of shape classification to the natural environment we collected statistics from a large database of real animal and leaf shapes; first we calculated the MAP skeletons of these shapes, and then computed several different statistical properties of the skeletons. These statistics allow for the creation of an "ecologically-informed" shape classification model that can generalize of many of the specific structures observed in the two classes. To investigate human shape classification subjects were shown shapes created by taking a weighted average of an animal and a leaf shape, resulting in a novel morphed shape. The task was to classify a shape as animal or leaf. Subjects easily performed this task, and their responses were strongly related to the weight used to averaged the shapes. Next, the classifier was used to obtain the likelihoods that a given morphed shape belonged the each class. These likelihood values are predictive of the subjects' responses, suggesting a relationship between human classification of shapes and the shapes' skeletal structures.
PhysicalDescription
Form
(authority = gmd)
electronic resource
Extent
iv, 30 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references (p. 28-30)
Note
(type = statement of responsibility)
by John Wilder
Name
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(type = personal)
NamePart
(type = family)
Wilder
NamePart
(type = given)
John D. (John David)
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author
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John D. Wilder
Name
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NamePart
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Feldman
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(type = given)
Jacob
Role
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chair
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Advisory Committee
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Jacob Feldman
Name
(ID = NAME-3);
(type = personal)
NamePart
(type = family)
Kowler
NamePart
(type = given)
Eileen
Role
RoleTerm
(authority = RULIB);
(type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Eileen Kowler
Name
(ID = NAME-4);
(type = personal)
NamePart
(type = family)
Singh
NamePart
(type = given)
Manish
Role
RoleTerm
(authority = RULIB);
(type = )
internal member
Affiliation
Advisory Committee
DisplayForm
Manish Singh
Name
(ID = NAME-1);
(type = corporate)
NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB);
(type = )
degree grantor
Name
(ID = NAME-2);
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm
(authority = RULIB);
(type = )
school
OriginInfo
DateCreated
(point = );
(qualifier = exact)
2009
DateOther
(qualifier = exact);
(type = degree)
2009-01
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/T35Q4WBN
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
RightsEvent
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(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.
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Technical
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ETD
MimeType
(TYPE = file)
application/pdf
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application/x-tar
FileSize
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194560
Checksum
(METHOD = SHA1)
6cbdb81a525728e5b98b1fb5858f9aaa859c8abd
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