[Jobinfo] Fwd: [Members] [General] Open PhD Position in Strasbourg (France)

-------- Forwarded Message --------
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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