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ICMVA 2026: International Conference on Machine Vision and Applications

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투고 마감일:
2026-03-20 Extended
통보일:
2026-03-28
개최일:
2026-04-24
개최지:
Nanjing, China
개최 횟수:
9
조회: 16947   팔로우: 2   참가: 0

논문 모집

ICMVA 2026 (International Conference on Machine Vision and Applications) is an academic conference held in Nanjing, China on 2026-04-24. The paper submission deadline is 2026-03-20 (extended). Acceptance notifications are sent on 2026-03-28.

2026 The 9th International Conference on Machine Vision and Applications (ICMVA 2026) will be held in Nanjing, China during April 24-26 . This conference is dedicated to the presentation and discussion of the latest application and findings 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, security, and robotics. While the focus of the ICMVA is directed to the presentation of current applications of Machine Vision, the conference is also aimed at those experts who deal with new principles and methods in that emerging technology. Scope: Machine Vision: Practice and Applications, Methods, Principles, and Algorithms. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: Practice and Applications of Machine Vision 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 Principles, Methods and Algorithms of Machine Vision 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)
최종 수정: Dunn Carl ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
cMachine Vision and Applications2.3Springer0932-8092
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
bPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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