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MPI-INF D4 Publications :: Thesis :: Stoll, Carsten

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Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit

Author(s)*:Stoll, Carsten
BibTeX citekey*:Stoll2009

Title, School
Title*:Template Based Shape Processing
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation

Publishers Name:Universität des Saarlandes
Publishers Address:Saarbrücken

Note, Abstract, Copyright
LaTeX Abstract:As computers can only represent and process discrete data, information gathered from the real world always has to be sampled. While it is nowadays possible to sample many signals accurately and thus generate high-quality reconstructions (for example of images and audio data), accurately and densely sampling 3D geometry is still a challenge. The signal samples may be corrupted by noise and outliers, and contain large holes due to occlusions. These issues become even more pronounced when also considering the temporal domain. Because of this, developing methods for accurate reconstruction of shapes from a sparse set of discrete data is an important aspect of the computer graphics processing pipeline.

In this thesis we propose novel approaches to including semantic
knowledge into reconstruction processes using template based shape processing. We formulate shape reconstruction as a deformable template fitting process, where we try to fit a given template model to the sampled data. This approach allows us to present novel solutions to several fundamental problems in the area of shape reconstruction. We address static problems like constrained texture mapping and semantically meaningful hole-filling in surface reconstruction from 3D scans, temporal problems such as mesh based performance capture, and finally dynamic problems like the estimation of physically based material parameters of animated templates.

Download Access Level:Intranet

Referees, Status, Dates
Date Kolloquium:9 February 2010

MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
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BibTeX Entry:
AUTHOR = {Stoll, Carsten},
TITLE = {Template Based Shape Processing},
PUBLISHER = {Universität des Saarlandes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2009},
TYPE = {Doctoral dissertation}
ADDRESS = {Saarbr{\"u}cken},
MONTH = {November},

Entry last modified by Anja Becker, 03/22/2010
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02/09/2010 02:33:25 PM

Anja Becker
Anja Becker
Carsten Stoll

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22.03.2010 14:25:49
22.03.2010 14:08:27
02/09/2010 02:33:32 PM