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QCAV 2021

25 Septembre 2020

Catégorie : Conférence internationale

QCAV 2021 - 15th International Conference on Quality Control by Artificial Vision

Conference date: May 12-14, 2021
Deadline for abstract submission (2 pages): October 14, 2020
Location: Tokushima, Japan (QCAV2021 might be held online)
Website: http://www.tc-iaip.org/qcav/2021/
The objective of the QCAV2021 conference is to provide a forum for researchers, engineers, suppliers and users working in the artificial vision fields.
Contact (French organization) : christophe.cudel@uha.fr; olivier.aubreton@u-bourgogne.fr; Jean-Jose.Orteu@mines-albi.fr

QCAV 2021 - 15th International Conference on Quality Control by Artificial Vision

Conference date: May 12-14, 2021

Deadline for abstract submission (2 pages): October 14, 2020

Acceptance notification : December 23, 2020

Location: Tokushima, Japan (QCAV2021 might be held online)

Website: http://www.tc-iaip.org/qcav/2021/

The objective of the QCAV2021 conference is to provide a forum for researchers, engineers, suppliers and users working in the artificial vision fields. With an emphasis on quality control, the attendees at the conference present and discuss the state-of-the-art in artificial vision, which includes traditional image processing techniques, artificial intelligence, 2-D and 3-D vision sensors, and various applications. The committee will be closely monitoring the situation of COVID-19 and will make the final decision to hold the online / on-site conference by the end of December. 

Plenary Speakers : 
Dr. Yvain Quéau, The French National Centre for Scientific Research (CNRS), France; 
Prof. Taku Komura, The University of Hong Kong, China;
Prof. MACAIRE Ludovic, Université de Lille, France;

Topics :
Papers describing novel theoretical, experimental, and applied work in image processing and computer vision for quality control are welcomed. Papers are solicited from, but not limited to, the following categories:

  - Image Acquisition, Vision Sensors, Machine Vision
  - 3D Machine Vision (stereovision, laser triangulation, multi-cameras)
  - Non-destructive Testing and Metrology
  - Process Automation, Characterization and Control
  - Non Conventional Imaging  (holography, polarimetric, light-field and plenoptic imaging)
  - Image Analysis, Geometrical Description, Segmentation
  - Low-level Vision and Image Processing, Hardware and Real Time Processing
  - Optical, Electron, X-ray, Ultrasound, TeraHertz and Others Imaging Modalities
  - Machine Learning, Deep Learning, Intelligence Amplification
  - Adversarial Learning, Image Synthesis, Image Generation, Image-to-Image Translation
  - Human Analysis and Human Computer Interaction
  - XR (VR, MR, AR)
  - Video Understanding, Spatio-temporal Image Processing
  - Computational Photography
  - Vision for Autonomous Vehicles, Automatic Guided Vehicles, Robots, Unmanned Ground and Aerial Vehicle

The Proceedings are published in the SPIE Digital Library