[visionlist] [Last CFP] Special session "Processing and analysis of signals on 3D graphs" in EUVIP 2021 , Paris France

ANASS NOURI anass.nouri at uit.ac.ma
Tue Mar 9 07:04:49 -04 2021

*Dear colleagues, *

*The 9-th EUropean workshop on Visual Information Processing (EUVIP 2021)
will be held on 23-25 June 2021 in Paris, France. (Indexed by IEEE and
sponsored by EURASIP)*
We propose a call of papers in a special session entitled:
*Processing and analysis of signals on 3D graphs*

*Submission of papers for approved Special Sessions: 15 March,
2021Notification of papers acceptance: 30 April, 2021Deadline for
camera-ready papers: 10 May, 2021*

*Description: *

*Session  : Processing and analysis of signals on 3D graphs   Organizers :
Anass Nouri (Université Ibn Tofail, ), Olivier Lézoray (Normandie
Université, ), Florent Autrusseau (Polytech Nantes, ) *

*Nowadays, 3D data can be found in many different situations. Initially
restricted to 3D images, mostly encountered in the medical domain, 3D data
can now be created or acquired in various ways: tomography, 3D medical
scanners, 3D laser scanners, reconstruction from 2D images by
photogrammetry, LIDAR point clouds, etc. These 3D data can be obtained in
many different forms among which we can give the most common: 3D images, 3D
meshes, and 3D point clouds. Although apparently different from one
another, all these different forms of 3D data often require similar
processing and analysis techniques: restoration, missing value completion,
clustering, learning, and inference, to quote a few. With similar
processing objectives that can operate on heterogeneous types of data, it
is natural to seek a common representation of digital data that can ease
the unification of information processing. One way to address this
challenge of data representation is to consider not only individual
entities, but also relationships between them, and to consider graphs.
Hence, signal processing on graphs emerged, this research topic is on the
verge of various related fields: signal processing, graph theory, and
machine learning (eventually deep). The variety of different 3D data that
can be represented as graphs has developed the interest in graph signal
processing in many emerging domains, in particular for brain networks in
computational neuroimaging, 3D color point clouds, and meshes in computer
vision. The aim of this special session is to present the latest advances
in the field of processing and analysis of signals on 3D graphs.*

Please visit : *https://www-l2ti.univ-paris13.fr/euvip2020/Special_session_proposal.html
more information.

We kindly ask you to ensure a large distribution to interested colleagues
and students. We thank you very much for your collaboration.

Best regards.


*Dr. Anass Nouri - Ph.D*
*Professeur associé/Maître de conférences en Informatique*

*Ecole Nationale Supérieure d'Ingénieurs de Chimie (ENSC) *

*Laboratoire des Systèmes Électroniques, Traitement de l'Information,
Mécanique et Energétique - Faculté des Sciences *

*Université Ibn Tofail - Kénitra - Maroc*
*https://anassnouri.github.io* <https://anassnouri.github.io>
*[Votre sourire, une bonne action!]*
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