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MPI-INF D4 Publications :: Thesis :: Saleem, Waqar


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Thesis - Master's thesis | @MastersThesis | Masterarbeit


Author
Author(s)*:Saleem, Waqar
BibTeX citekey*:thesis05s
Language:English

Title, School
Title*:A flexible framework for learning-based Surface Reconstruction
School:Universität des Saarlandes
Type of Thesis*:Master's thesis
Month:December
Year:2004


Note, Abstract, Copyright
LaTeX Abstract:The problem of Surface Reconstruction arises in many real world situations. We introduce in detail the problem itself and then take a brief look into its applications and existing techniques, particularly learning based techniques, developed for its solution. Having presented the context, we closely examine one such learning based technique – the Neural Mesh algorithm for Surface Reconstruction.

Despite being relatively recent, the Neural Mesh algorithm has already undergone several revisions, thus giving rise to several variants of the original algorithm. We study the algorithm and each of its variants in detail. All variants rely in varying
degrees on a specific aspect of the algorithm – a signal counter. We observe that algorithmic reliance on the signal counter impedes performance and propose an alternate way of performing the same functionalities – using a list. Additionally, on the practical side, we identify areas where inhouse implementations of the algorithms were wanting in efficiency and revise those areas.
Changing over from the signal counter to the list represents a change in approach from the exact learning of the original algorithms to a comparative learning framework. We show empirically that this change in approach does not produce any significant difference in the quality of the algorithms’ output, while performance, in terms of running time, increases dramatically.

Keywords:surface reconstruction, statistical learning
HyperLinks / References / URLs:http://www.mpi-sb.mpg.de/~wsaleem/research/MasterThesis.html
Download Access Level:Public
Download File(s):View attachments here:

Referees, Status, Dates
1. Referee:Prof. Dr. Hans-Peter Seidel
2. Referee:Prof. Dr.-Ing. Phillip Slusallek
Supervisor:Ioannis Ivrissimtzis
Status:Completed
Date Kolloquium:14 March 2005

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


BibTeX Entry:
@MASTERSTHESIS{thesis05s,
AUTHOR = {Saleem, Waqar},
TITLE = {A flexible framework for learning-based Surface Reconstruction},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2004},
TYPE = {Master's thesis}
MONTH = {December},
}


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Entry last modified by Christine Kiesel, 04/29/2005
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Editor(s)
Waqar Saleem
Created
03/14/2005 06:08:06 PM
Revision
1.
0.


Editor
Christine Kiesel
Waqar Saleem


Edit Date
29.04.2005 17:52:55
03/14/2005 06:08:07 PM