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