[Jobinfo] Fwd: [Members] [General] Open PhD Position in Strasbourg (France)
Fri Jul 1 14:09:52 CEST 2016
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Subject: [Members] [General] Open PhD Position in Strasbourg (France)
Date: Fri, 1 Jul 2016 13:23:21 +0200
From: eurographics@eg.org
To: general@eg.org
*Open PhD Position in Strasbourg (France)*
The IGG group, ICube Lab (UMR 7357, University of Strasbourg / CNRS)
seeks an excellent student for a 3-years funded PhD position in the
field of Computer Graphics starting September 2016.
Candidates are invited to contact us as soon as possible via the two
following e-mail addresses: dischler@unistra.fr
<mailto:dischler@unistra.fr>and allegre@unistra.fr
<mailto:allegre@unistra.fr>. Candidates must send us the following
elements: a detailed CV, marks obtained during Bachelor and Master
degree, or Engineering School degree, and a one-page motivation letter.
The application deadline is July 8th, 2016.
Please feel free to relay the information.
Title : Extraction and analysis of geometric and photometric properties
for the classification of
materials of 3d objects digitized under uncontrolled lighting conditions
Host team : IGG (Computer Graphics and Geometry groupe) at ICube Lab
Advisor : Jean-Michel Dischler, Professor in Computer Science -
dischler@unistra.fr <mailto:dischler@unistra.fr>
Co-advisor : Rémi Allègre, Associate Professor in Computer Science -
allegre@unistra.fr <mailto:allegre@unistra.fr>
Prerequisites : Computer graphics and geometric modeling
Abstract : The media content production industry is in increasing demand
of tools for creating complex geometric models with realistic
appearances more rapidly and more efficiently. While current 3d
digitization technologies for real objects considerably simplify the
process of creating 3d models, especially for geometry, there is a lot
of room for improvement in the field of appearance processing and
representation. In this context, it is highly desirable that photometric
acquisitions be performed in an uncontrolled lighting environment, and
that the appearance of the models be represented by texture layers that
fit the requirements of commercially available rendering engines.
Existing techniques however only reconstruct approximate reflectance and
sophisticated reflectance models do not easily comply with texture
layers representations.
The goal of this thesis is to devise a new processing pipeline in two
stages. The first stage will consist in accurately extracting the
geometric and photometric properties of a 3d object digitized under
uncontrolled lighting conditions (geometry, normals, diffuse color,
specularity, occlusion), as well as storing them in texture maps. The
second stage will consist in analyzing these properties in order to
provide a classification of the materials as close as possible to the
reality over the whole surface of a digitized object. This
classification will be used as input for texture synthesis algorithms
developed in the IGG group.
A detailed version of the proposal including bibliography is available
at the following address:
https://dpt-info.u-strasbg.fr/~allegre/SUJETS/THESE/SujetTheseIGG2016-JMD-RA_EN.pdf
<https://dpt-info.u-strasbg.fr/%7Eallegre/SUJETS/THESE/SujetTheseIGG2016-JMD-RA_EN.pdf>
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