Annonce
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