Machine Graphics and Vision
Published by Institute of Information Technology, Warsaw University of Life Sciences - SGGW
ISSN : 1230-0535 eISSN : 2720-250X
Abbreviation : Mach. Graph. Vis.
Aims & Scope
Machine GRAPHICS & VISION provides a scientific exchange forum and an authoritative source of information in the field of, in general, pictorial information exchange between computers and their environment, including applications of visual and graphical computer systems.
Until June 2013 the Journal has been maintained by the Institute of Computer Science of the Polish Academy of Sciences.
See the previous version of the web pages of the journal.
The journal concentrates on theoretical and computational models underlying computer generated, analysed, or otherwise processed imagery, in particular: • image processing • scene analysis, modeling, and understanding • machine vision • pattern matching and pattern recognition • image synthesis, including three-dimensional imaging and solid modeling • computer-aided graphic arts and animation • mathematical approaches to image processing, analysis, and synthesis • computational geometry • image models and transforms • visualization and graphical data presentation • diagrammatic knowledge representation and reasoning • monocular and stereo vision • modeling of human visual perception • innovative uses of various graphic and vision devices and systems.
The journal publishes: -original research papers- tutorial papers- state-of-the-art surveys- reports on work in progress- research direction proposals
View Aims & ScopeMetrics & Ranking
Journal Rank
Year | Value |
---|---|
2024 | 26944 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 20 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.124 |
Quartile
Year | Value |
---|---|
2024 | Q4 |
h-index
Year | Value |
---|---|
2024 | 14 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.