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RFMI'19

11 Avril 2019


Catégorie : Conférence internationale


VIIIth edition of the international workshop on Representations, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019):

http://www.arts-pi.org.tn/rfmi2019/

 

The VIIIth edition of the international workshop on Representations, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019) will take place in Hammamet (located in the south-eastern section of Cap Bon in Tunisia) from october 28 to 31th. The goal of the workshop is to promote interaction and collaboration among researchers working on static and dynamic shape analysis and their applications in computer vision, pattern recognition, computer graphics and animation, robotics, cultural heritage conservation, medical imaging and healthcare diagnostics. The rapid development of emerging imaging sensors technologies (3D/4D cameras, medical imaging devices, depth-consumer cameras, 3D/4D microscopy, etc.) is pushing forth new research directions to study imaged shapes as well as their motion for advanced modeling, statistical analysis and behavior understanding. The perspective of the workshop will be to strengthen the relationship between the many areas that have as a key meet point, the study of shape and motion 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 fundamental topics of the workshop are (but not limited to),

  • Computer vision and pattern recognition
  • n-D shape analysis
  • G-invariants of a group (local, differential, integral, multi-scale,...) and applications
  • Shape dynamics assessment
  • Shape indexation and retrieval
  • Functional Data Analysis (FDA)
  • Affective computing
  • Biometrics recognition
  • Face and gesture classification and recognition
  • Biological data modeling and analysis
  • Biomedical applications of shape analysis and G-invariants
  • Methods for video-surveillance
  • Computer graphics and animation
  • Deep Learning
  • Geometric Deep Learning