Scope
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.
Download the QCAV 2021 Call for Participants (PDF).
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