ICMV 2021 : International Conference on Machine Vision

in Conferences   Posted on March 25, 2021 

Conference Information

Submission Deadline Tuesday 25 May 2021 Proceedings indexed by :
Conference Dates Nov 8, 2021 - Nov 14, 2021
Conference Address Rome, Italy
Conference & Submission Link http://icmv.org/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 1.16
#Contributing Top Scientists 7
#Papers published by Top Scientists 17
Google Scholar H5-index 15
Number of Editions: 14
Guide2Research Overall Ranking: 813
Category Rankings
Image Processing & Computer Vision 104
Machine Learning & Artificial Intelligence 179

Conference Call for Papers

Topics of interest for submission include, but are not limited to:
Submission Session on Easychair Submission System:
SPECIAL SESSION I: Camera Based and Mobile Recognition
SPECIAL SESSION II: Advanced Imaging and Tomography
SPECIAL SESSION III: Machine Vision for Autonomous Driven Cars under Harsh Environmental Conditions

Machine Vision, Image Processing, and Pattern Analysis
Imaging Sensors
Color and Texture Analysis
Motion and Tracking
Stereo Vision
Biometrics Recognition
Image-Based Modeling
Calibration and Geometry
Illumination and Reflectance Modeling
Soft Computing for Machine Vision
Physics-Based Modeling
Artificial Intelligence for Machine Vision
Video Analysis
Face and Gesture Recognition
Action and Event Recognition
Similarity/Dissimilarity Metrics
Machine Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Structure from Motion
Image Registration
Image Enhancement
Morphology and Blob Analysis
Applications of Machine Vision

Computer Vision and Image Analysis
Active Vision
Early Vision
Feature Extraction
Motion Analysis
Recognition (2D and 3D)
Texture and Colour
Scene Understanding
Shape from X
Visual Navigation

Pattern Recognition and Basic Technologies
Statistical Pattern Recognition
Structural and Syntactic Pattern Recognition
Neural Networks
Machine Learning and Data Mining
Artificial Intelligence and Symbolic Learning
Classification and Clustering
Feature Selection, Dimensionality Reduction, Manifold Learning
Kernel Methods and Support Vector Machines
Invariance in Recognition
Multiresolution Techniques
OCR, Document Analysis and Understanding
Information Retrieva

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