International Conference on Machine Vision on October 21-24, 2025 in Paris, France
- Event Type: Conference
- Presentation: Physical
- Website URL: http://icmv.org/
- Program URL: https://icmv.org/program.html
- Contact URL: https://icmv.org/contact.html
- Contact E-mail: [email protected]
- Location: Paris, France
- Date: October 21-24, 2025
- Final Submission: September 05, 2025
- Organization: The SCIence and Engineering Institute
- Conference Tags: human-machine interaction machine intelligence electrical machines machine learning machine vision
Conference Proceedings:
Accepted and presented papers of ICMV 2025 will be published by SPIE, to be included in SPIE Digital Library, provided to the Web of Science Conference Proceedings Citation Index-Science, Scopus, Ei Compendex, etc, to ensure maximum awareness of the Proceedings.
ICMV History:
ICMV 2024(Edinburgh, UK)-SPIE, to be online and indexed soon.
ICMV 2023(Yerevan, Armenia)-SPIE-V13072, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2022(Rome, Italy)-SPIE-V12701, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2021(Virtual)-SPIE-V12084, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2020(Virtual)-SPIE-V11605, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2019(Amsterdam, the Netherlands)-SPIE-V11433, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2018(Munich, Germany)-SPIE-V11041, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2017(Vienna, Austria)-SPIE-V10696, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2016(Nice, France)-SPIE-V10341, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2015(Barcelona, Spain)-SPIE-V9875, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2014(Milano, Italy)-SPIE-V9445, indexed by Ei Compendex, Scopus, ISI, etc;
ICMV 2013(London, UK)-SPIE-V9067, indexed by Ei Compendex, Scopus, ISI, etc.
Contact:
Conference secretary: Allen Foster
Phone: +86-13688461344
Email: [email protected]
Website: www.icmv.org
A. 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)
B. 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
Name: The SCIence and Engineering Institute
Website: http://www.sciei.org/
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