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MPI-INF D4 Publications :: Thesis :: Jansen, Silke


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Thesis - Master's thesis | @MastersThesis | Masterarbeit


Author
Author(s)*:Jansen, Silke
BibTeX citekey*:Jansen2010
Language:English

Title, School
Title*:Symmetry Detection in Images Using Belief Propagation
School:Universität des Saarlandes
Type of Thesis*:Master's thesis
Month:July
Year:2010

Publisher
Publishers Name:Universität des Saarlandes
Publishers Address:Saarbrücken

Note, Abstract, Copyright
LaTeX Abstract:In this thesis a general approach for detection of symmetric structures in images is presented. Rather than relying on some feature points to extract symmetries, symmetries are described using a probabilistic formulation of image self-similarity. Using a Markov random fi eld we obtain a joint probability distribution describing all assignments of the image to itself. Due to the high dimensionality of this joint distribution, we do not examine this distribution directly, but approximate its marginals in order to gather information about the symmetries with the image. In the case of perfect symmetries this approximation is done using belief propagation. A novel variant of belief propagation is introduced allowing for reliable approximations when dealing with approximate symmetries. We apply our approach to several images ranging from perfect synthetic symmetries to real-world scenarios, demonstrating the capabilities of probabilistic frameworks for symmetry detection.
Download Access Level:Public
Download File(s):View attachments here:

Referees, Status, Dates
1. Referee:Dr. Michael Wand
2. Referee:Prof. Dr. Hans-Peter Seidel
Supervisor:Dr. Michael Wand
Status:Completed
Date Kolloquium:- - -

Correlation
MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
Appearance:MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort

BibTeX Entry:

@MASTERSTHESIS{Jansen2010,
AUTHOR = {Jansen, Silke},
TITLE = {Symmetry Detection in Images Using Belief Propagation},
PUBLISHER = {Universität des Saarlandes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2010},
TYPE = {Master's thesis}
PAGES = {61},
ADDRESS = {Saarbr{\"u}cken},
MONTH = {July},
}





Entry last modified by Anja Becker, 01/27/2011
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01/25/2011 02:56:49 PM
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Editor(s)
Anja Becker
Silke Jansen
Silke Jansen
Silke Jansen
Silke Jansen
Edit Dates
27.01.2011 16:17:57
01/25/2011 02:58:30 PM
01/25/2011 02:58:10 PM
01/25/2011 02:57:48 PM
01/25/2011 02:56:50 PM