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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>
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<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;">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;">https://www.umr-lastig.fr/vgouet/News/annonce_these_PlaceReco3D_2022-FR.pdf</a> <span style="font-size: 10pt;"> </span></div>
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<div style="font-size: 13.3333px;"><b>*** Subject of the thesis</b></div>
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<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>
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<div style="font-size: 13.3333px;"><b>*** Context</b></div>
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<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>
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<div style="font-size: 13.3333px;"><b>*** Candidate profile</b></div>
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<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>
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<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 style="font-size: 13.3333px;"><b>*** Organization</b></div>
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<div style="font-size: 13.3333px;">* Start: last quarter of 2022</div>
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<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>
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<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 style="font-size: 13.3333px;">Before March 28, 2022, 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>
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<div style="font-size: 13.3333px;"><b>*** Contacts</b></div>
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<div style="font-size: 13.3333px;">- Laurent Caraffa – Laurent.Caraffa@ign.fr, Researcher at LaSTIG (thesis supervisor), IGN, Gustave Eiffel University</div>
<div style="font-size: 13.3333px;">- Valérie Gouet-Brunet – Valerie.Gouet@ign.fr, 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>
https://www.umr-lastig.fr/vgouet/</div>
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