VIIth Int. Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data Call for Papers

FIRST CALL FOR PAPERS (Submission deadline: October 8, 2017)

VIIth Int. Workshop on Representation, analysis and recognition of 
    shape and motion FroM Imaging data
Centre Paul-Langevin Aussois - Savoie, France, 17-20 December, 2017.
http://www.arts-pi.org.tn/rfmi2017/index.html

Contact: Naoufel.Werghi@kustar.ac.ae


The rapid development of emerging imaging sensors technologies (3D/4D 
cameras, medical imaging devices, cost-effective depth cameras, 3D/4D 
microscopy, etc.) brings at forefront large imaging data in 2D, 3D and 
4D and is pushing forth a new research direction to study patterns and 
shapes from image data as well as their motion for advanced modeling, 
statistical analysis and behavioral understanding. 

The goal of the workshop is to promote interaction and collaboration 
among researchers working on computer vision, machine learning and 
computational geometry for the static and dynamic pattern recognition 
and  shape analysis as well as various applications, e.g., video scene 
understanding, affective computing, human-machine interaction, computer 
animation, robotics, cultural heritage conservation, healthcare assessment 
and medical diagnostics. The perspective of RFMI will be to strengthen 
the relationship between the many areas that have as a key meeting point, 
the study of patterns and shapes and their motion from image data and the 
design of relevant geometric and computational tools. Thus, it will be a 
great opportunity to encourage links between researchers who share common 
problems and frequently use similar tools. 

The seventh edition of the international workshop on Representations, 
analysis and recognition of shape and motion FroM Image data (RFMI 2017) 
will take place at the Centre Paul-Langevin Aussois - Savoie, France. 
It consists of three days oral sessions, poster sessions and outstanding
plenary invited talks. The workshop topics will feature not only sessions 
on fundamental issues in computer vision, machine learning and computational 
geometry but also specific tracks on various applications, e.g., Biometrics, 
Surveillance and Analysis of humans, Biomedical Image Analysis and 
Applications, and Art, Cultural Heritage and Entertainment.

It is planned to publish the RFMI 2017 proceedings by Springer in the 
Communications in Computer and Information Science
series (http://www.springer.com/series/7899)
http://www.springer.com/us/book/9783319606538):

The endorsement of the workshop by the IAPR association is under process 
(read about the previous edition in the IAPR newsletter 
http://www.iapr.org/docs/newsletter-2017-02.pdf, pp. 25).

PAPER SUBMISSION AND REVIEW PROCESS
Submitted papers should describe substantial novel research achievements 
about one of the related topics of the workshop or closely. Authors should 
apply Springer conference paper templates, which can be find in the 
author's instruction page here: 
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.

All submissions should be in Adobe Acrobat according to the latex templates. 

The RFMI 2017 secretariat must receive your paper before October 8th, 2017, 10:00 PM GMT.

Papers with up to 15 pages and no less than 10 pages will be considered. 

Submission implies the willingness of at least one of the authors to 
register and to present the communication at the workshop, if accepted. 
All papers submitted will be subjected to a blind review process by at 
least three members of the program committee. The initial paper must not 
provide names and affiliation, and should include a title, a 150-word 
abstract, keywords and paper manuscript. Please submit your paper 
electronically at our website using the CMT platform (the link will be 
provided soon).

IMPORTANT DATES
Paper submission deadline                          October 8,  2017
Notification of acceptance                         November 19, 2017
Camera-ready                                       November 31, 2017
Workshop                                           December 17-20, 2017

INVITED SPEAKERS (preliminary list)

  *   Dr. David Gu  http://www3.cs.stonybrook.edu/~gu/
      Professor, State University of New York at Stony Brook (USA),
      Title - Optimal Mass Transportation, Geometry and Deep Learning.

  *   Dr. Emanuele Rodolà https://sites.google.com/site/erodola/
      Assistant Professor, Sapienza University of Rome (Italy)
      Title - Geometric Deep Learning.

Contact: Naoufel.Werghi@kustar.ac.ae

Dr. Naoufel Werghi
Associate Professor
Electrical and Computer Engineering Department

PO Box 127788, Abu Dhabi, UAE
T +971 (0)2 501 8368
F +971 (0)2 447 2442
Naoufel.Werghi@kustar.ac.ae