Computer Graphics, Image Processing and Artificial Intelligence – CGIPAI

Computer Graphics, Image Processing and Artificial Intelligence – CGIPAI

Part of the ICCS 2020 Conference
Amsterdam, The Netherlands | 3-5 June, 2020

Paper submission deadline – final extension to 7 February 2020

Contact: Andres Iglesias, iglesias@unican.es

Description: Computer Graphics, Image Processing and Artificial Intelligence are three of the most popular, exciting and hot domains in Computational Sciences. The three areas share a broad range of applications in many different fields, and new impressive developments are arising every year. This workshop is aimed at providing a forum for discussion about new techniques, algorithms, methods, and technologies in any of those areas as well as their applications to science, engineering, industry, education, health, and entertainment. The interplay between any two of these areas is also of interest for this workshop. The workshop is part of the activities of the Horizon 2020 European project PDE-GIR, but it is open to researchers and practitioners working in these areas. We invite prospective authors to submit their contributions for fruitful interdisciplinary cooperation and exchange of new ideas and experiences, as well as to identify new issues and challenges, and to shape future directions, trends for research.
Potential topics include, but are not limited to:
Topics include (but not limited to):

  • Geometric and Solid Modeling & Processing, CAD/CAM/CAE, Curve/Surface Reconstruction
  • Computer Graphics Techniques, Algorithms, Software and Hardware
  • Computer Animation and Video Games
  • Virtual and Augmented Reality, Virtual Environments and Autonomous Agents
  • Computer Graphics Applications (Science, Engineering, Education, Health, Industry, Entertainment)
  • Image Processing techniques
  • Image Processing processes (e.g., image denoising, image deblurring, image segmentation, image reconstruction, depth estimation, 3D surface restoration)
  • Image Processing applications
  • Evolutionary and Nature-Inspired Algorithms (evolutionary programming, genetic algorithms)
  • Neural Networks, Machine Learning, Deep Learning and Data Mining
  • Swarm Intelligence and Swarm Robotics
  • Bio-informatics and bio-engineering
  • Natural Computing, Soft Computing and Evolutionary Computing
  • Artificial Intelligence Applications
  • Interplay among some of the previous areas.

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