Special session “Processing and analysis of signals on 3D graphs” in EUVIP 2021 , Paris France

March 16th, 2021 Daniela Lopez de Luise

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, 2021
Notification of papers acceptance: 30 April, 2021
Deadline for camera-ready papers: 10 May, 2021
Description: 
Session  : Processing and analysis of signals on 3D graphs  
Organizers : Anass Nouri (Université Ibn Tofail, Morocco ), Olivier Lézoray (Normandie Université, France ), Florent Autrusseau (Polytech Nantes, France )
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.
We kindly ask you to ensure a large distribution to interested colleagues and students. We thank you very much for your collaboration.

Best regards.
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