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<div style="font-size: 13.3333px;"><b>*** Thesis proposal: Point
cloud based large-scale place recognition - Application to
the prevention against fake news</b></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">Full text in English: <a
href="https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-EN.pdf"
target="_blank" rel="noopener noreferrer" style="font-size:
10pt;" moz-do-not-send="true">https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-EN.pdf</a> <span
style="font-size: 10pt;"> </span></div>
<div style="font-size: 13.3333px;">Full text in French: <a
href="https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-FR.pdf"
target="_blank" rel="noopener noreferrer" style="font-size:
10pt;" moz-do-not-send="true">https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-FR.pdf</a> <span
style="font-size: 10pt;"> </span></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;"><b>*** Subject of the thesis</b></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">The thesis project focuses on
3D point cloud based large-scale place recognition, with the
application of geolocation of 3D image data. Without any extra
information of the initial position, geolocalazing image
content relies on the indexing and retrieval of content
similarities in a geolocalized reference. This thesis proposes
to study this type of approach by exploiting 3D maps based on
acquisition campaigns (in particular LiDAR) that are becoming
mainstream thanks to high quality geometry reconstruction
which makes them attractive, but also complex to handle given
their volume and diversity. Please consult the full text in
PDF for the description of the subject thesis.</div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;"><b>*** Context</b></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">The fields of application of
place recognition from images are numerous, we will deal here
with the case of the geolocation of amateur video sequences as
a certification tool for the prevention against fake news.
Massively spread on social networks and on the web, amateur
videos relaying information or an event are now very
important, with among them content that is fake news, i.e.
taken outside of its original context, to express bad or false
information. To fight against this form of misinformation,
several media, such as the French public television channel
“France TV”, have set up a fact checking unit of images and
videos which analyzes, verifies and certifies these streams.
This complex work is done by hand and would benefit from being
automated by using artificial intelligence tools. The
verification of geolocation was recognized as essential to
best explain what is happening. It is in this collaborative
context between IGN and France TV that we focus on this
geolocation criterion with the desire to exploit the best
georeferencing repositories of today to offer automatic
large-scale geolocation solutions, which can, among other
things, contribute to the fact checking of visual information.</div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;"><b>*** Candidate profile</b></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">Bac+5 in computer science,
applied mathematics or geomatics (master or engineering
school). A good background in machine learning is required,
and a knowledge on 3D computer vision or image indexing will
be appreciated. The successful candidate must have good
programming skills (Python, C/C++). Although fluency in French
is not required, fluency in English is necessary. Curiosity,
open-mindedness, creativity, perseverance and the ability to
work in a team are also key personal skills in demand.</div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;"><u>Please note the only
students from the European Union, the United Kingdom or
Switzerland are eligible for this thesis project.</u></div>
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</div>
<div style="font-size: 13.3333px;"><b>*** Organization</b></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">* Start: last quarter of 2022</div>
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</div>
<div style="font-size: 13.3333px;">* Place: the thesis will be
carried out in Paris area at the LaSTIG laboratory, located in
Saint-Mandé (73 avenue de Paris, Saint-Mandé metro, line 1) in
the premises of the IGN. The doctoral student will be attached
to the MSTIC Doctoral School (ED 532).</div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">The French mapping agency IGN
(National Institute for Geographic and Forest Information) is
a public administrative establishment attached to the French
Ministry of Ecological Transition; it is the national
reference operator for mapping the French territory. The
LaSTIG Laboratory in Sciences and Technologies of Geographic
Information for the smart city and sustainable territories, is
a joint research unit attached to the Gustave Eiffel
University, the IGN and the School of Engineering of the city
of Paris (EIVP). It is a unique research structure in France
and even in Europe, bringing together around 80 researchers,
who cover the entire life cycle of geographic or spatial data,
from its acquisition to its visualization, including its
modeling, integration and analysis; among them about thirty
researchers work in image analysis, computer vision, machine
learning, photogrammetry and remote sensing. LaSTIG
researchers can be involved in the teaching activities of the
IGN engineering school, the ENSG (Ecole Nationale des Sciences
Géographiques), which offers access to undergraduate and
graduate students with excellent quality in fields related to
geographic information sciences: geodesy, photogrammetry,
computer vision, remote sensing, spatial analysis,
cartography, etc.</div>
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<div style="font-size: 13.3333px;"><b>*** How to apply</b></div>
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</div>
<div style="font-size: 13.3333px;"><b>Before April 13, 2022</b>,
please send both contacts in a single PDF file the following
documents:</div>
<div style="font-size: 13.3333px;">- A detailed CV</div>
<div style="font-size: 13.3333px;">- A topic-focused cover
letter</div>
<div style="font-size: 13.3333px;">- Grades and ranks over the
last 3 years of study</div>
<div style="font-size: 13.3333px;">- The contact details of 2
referents who can recommend you</div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;"><b>*** Contacts</b></div>
<div style="font-size: 13.3333px;"><br>
</div>
<div style="font-size: 13.3333px;">- Laurent Caraffa –
<a class="moz-txt-link-abbreviated" href="mailto:Laurent.Caraffa@ign.fr">Laurent.Caraffa@ign.fr</a>, Researcher at LaSTIG (thesis
supervisor), IGN, Gustave Eiffel University</div>
<div style="font-size: 13.3333px;">- Valérie Gouet-Brunet –
<a class="moz-txt-link-abbreviated" href="mailto:Valerie.Gouet@ign.fr">Valerie.Gouet@ign.fr</a>, Research director at LaSTIG (director of
the thesis), IGN, Gustave Eiffel University</div>
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<div class="PlainText">--------------------------<br>
Valerie Gouet-Brunet<br>
Senior researcher / Directrice de recherche (DR1) du
Ministère de l'Ecologie<br>
LASTIG Lab.<br>
Univ. Gustave Eiffel / IGN (French mapping agency)<br>
73, Avenue de Paris - F94165 Saint-Mande CEDEX<br>
Tel. +33 (0)1 43 98 62 10<br>
<a class="moz-txt-link-freetext" href="https://www.umr-lastig.fr/vgouet/">https://www.umr-lastig.fr/vgouet/</a></div>
</span></font></div>
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<pre class="moz-signature" cols="72">--
Valerie Gouet-Brunet
Senior researcher / Directrice de recherche (DR1) du Ministère de l'Ecologie
LASTIG Lab.
Univ. Gustave Eiffel / IGN (French mapping agency)
73, Avenue de Paris - F94165 Saint-Mande CEDEX
Tel. +33 (0)1 43 98 62 10
<a class="moz-txt-link-freetext" href="https://www.umr-lastig.fr/vgouet/">https://www.umr-lastig.fr/vgouet/</a></pre>
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