This conference is dedicated to the presentation and discussion of the latest findings and applications in the field of Machine Vision. Machine vision technologies in their essence leverage advanced digital inventions that enhance efficiency, accuracy, and decision-making across various sectors such as industrial automation, quality control, inspection, medical diagnostics, and robotics. While the focus of the ICMV is directed to the presentation of new principles and methods of Machine Vision, the conference is also aimed at those experts who deal with current applications in that emerging technology. Scope: Machine Vision: Theory, Principles, Algorithms, Practice and Applications. Topics of interest for submission include, but are not limited to:
Theory and Principles:
Image Formation (Image Acquisition, Optical Basics, Photometric Basics, Vision Models, Color Spaces, Sensors)
Image Modeling (Image Representation, Systems and Signals, 2D-, 3D-Models, Projections, Rendering, Modalities, Parameters)
Image Processing (Image Preprocessing, Image Enhancement, Image Filtering, Image Analysis, Image Restoration, Multiresolution Analysis, Image Alignment and Stitching, Geometric Transformations)
Image Classification (Feature Space, Feature Extraction, etches and Contours, Segmentation, Texture Analysis, Morphology, Pattern Recognition, Computer Vision, Machine Vision)
Image Reconstruction (Depth Estimation and Reconstruction, Monocular Depth Estimation, Stereo Vision, Multi-View Stereo, Shape from Shading, 3D Reconstruction, Volumetric Representations)
Machine Learning, Deep Learning and Neural Networks (Supervised Learning, Unsupervised Learning, Deep Neural Networks, Convolutional Neural Networks)
Practice and Applications
Industrial Automation; Digital Production Digital / Metrology; Quality Control and Inspection; Non-Destructive Testing and Fault Detection; Medical Imaging; Robotics; Autonomous Vehicles, Inspection of Micro and Nano Structures; Automation in Agriculture and Food Production; Surveillance and Security; Motion Analysis; Environmental Monitoring, Protection of Cultural Heritage; Remote Sensing