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MPI-INF D4 Publications :: Thesis :: Tevs, Art

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Thesis - Bachelor thesis | | Bachelorarbeit

Author(s)*:Tevs, Art
BibTeX citekey*:Tevs2006

Title, School
Title*:Multi-Stereorekonstruktion nicht-lambert'scher Oberflaechen mittels Graph-Cut Optimierung
School:Universität des Saarlandes
Type of Thesis*:Bachelor thesis

Publishers Name:Universität des Saarlandes
Publishers Address:Saarbruecken, Germany

Note, Abstract, Copyright
LaTeX Abstract:In the last years computer vision problems like dense depth map reconstruction from given images became more and more important. There exists a lot of algorithms that are trying to assign a depth value to each pixel of the input image. Most of them have a strong assumption on the pixels of the object e.g. the color value constancy.

In this work we are trying to create a dense depth map for each input image without setting any strong assumptions, like diffuse surface, on the objects. We postulate that problem as energy minimization problem and try to solve it by using graph-cut approach. We also utilize the GPU to compute some parts of the energy function that does increase the whole computation speed immensely. At the end we show the stability of our algorithm by computing the depth maps on "real world" images.

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Referees, Status, Dates
1. Referee:Prof. Dr.-Ing. Marcus Magnor
2. Referee:Prof. Dr. Joachim Weickert
Supervisor:Prof. Dr.-Ing. Marcus Magnor
Date Kolloquium:13 March 2008

MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
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BibTeX Entry:
AUTHOR = {Tevs, Art},
TITLE = {Multi-Stereorekonstruktion nicht-lambert'scher Oberflaechen mittels Graph-Cut Optimierung},
PUBLISHER = {Universität des Saarlandes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2006},
TYPE = {Bachelor thesis}
ADDRESS = {Saarbruecken, Germany},
MONTH = {February},

Entry last modified by Art Tevs, 03/13/2008
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