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      -------- Forwarded Message --------
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">Subject:
            </th>
            <td>[Members] [General] Open PhD Position in Strasbourg
              (France)</td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">Date: </th>
            <td>Fri, 1 Jul 2016 13:23:21 +0200</td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">From: </th>
            <td><a class="moz-txt-link-abbreviated" href="mailto:eurographics@eg.org">eurographics@eg.org</a></td>
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            <th align="RIGHT" nowrap="nowrap" valign="BASELINE">To: </th>
            <td><a class="moz-txt-link-abbreviated" href="mailto:general@eg.org">general@eg.org</a></td>
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        <p><b><span style="font-size:18.0pt" lang="EN-US">Open PhD
              Position in Strasbourg (France)</span></b><span
            lang="EN-US"><o:p></o:p></span></p>
        <p><span lang="EN-US">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.<br>
            <br>
            Candidates are invited to contact us as soon as possible via
            the two following e-mail addresses: </span><a
            moz-do-not-send="true" href="mailto:dischler@unistra.fr"><span
              lang="EN-US"><a class="moz-txt-link-abbreviated" href="mailto:dischler@unistra.fr">dischler@unistra.fr</a></span></a><span
            lang="EN-US"> and </span><a moz-do-not-send="true"
            href="mailto:allegre@unistra.fr"><span lang="EN-US">allegre@unistra.fr</span></a><span
            lang="EN-US">. 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.<br>
            <br>
            Please feel free to relay the information.<br>
            <br>
            Title : Extraction and analysis of geometric and photometric
            properties for the classification of <br>
            materials of 3d objects digitized under uncontrolled
            lighting conditions<br>
            <br>
            Host team : IGG (Computer Graphics and Geometry groupe) at
            ICube Lab<br>
            <br>
            Advisor : Jean-Michel Dischler, Professor in Computer
            Science - </span><a moz-do-not-send="true"
            href="mailto:dischler@unistra.fr"><span lang="EN-US">dischler@unistra.fr</span></a><span
            lang="EN-US"><br>
            <br>
            Co-advisor : Rémi Allègre, Associate Professor in Computer
            Science - </span><a moz-do-not-send="true"
            href="mailto:allegre@unistra.fr"><span lang="EN-US">allegre@unistra.fr</span></a><span
            lang="EN-US"><br>
            <br>
            Prerequisites : Computer graphics and geometric modeling<br>
            <br>
            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.<br>
            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.<br>
            <br>
            A detailed version of the proposal including bibliography is
            available at the following address:<br>
          </span><a moz-do-not-send="true"
href="https://dpt-info.u-strasbg.fr/%7Eallegre/SUJETS/THESE/SujetTheseIGG2016-JMD-RA_EN.pdf"><span
              lang="EN-US">https://dpt-info.u-strasbg.fr/~allegre/SUJETS/THESE/SujetTheseIGG2016-JMD-RA_EN.pdf</span></a><span
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