Machine GRAPHICS & VISION is a refereed international journal published by the Institute of Information Technology of the Warsaw University of Life Sciences – SGGW, in cooperation with the Association for Image Processing, Poland – TPO.

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.

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 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
software and hardware image processing
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, and reports on published books and on defended Ph.D. and D.Sc. theses. The papers are published in English.

Machine Graphics & Vision accepts and implements the rules of publishing ethics according to the Best Practice Guidelines of the Committee on Publication Ethics (COPE).

Since 2012 the issues are available within the open access policy. The contents of the published issues and all the remaining information can be found in the web pages of the Journal at the address http://mgv.wzim.sggw.pl.
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Szczegóły

Machine Graphics & Vision
ISSN: 1230-0535 (print) 2720-250X (online)

Indexed in:

MEN points (Ministry of Science and Higher Education, Poland):
20 (2022), 140 (07-12.2023), 20 (2024)

DOI: 10.22630/MGV

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Tom 33 Nr 1 (2024)

Opublikowane: 2024-06-21

The papers in this issue are published according to the Accepted Papers Online policy. The full bibliographic data are fixed and will not be changed, so they can be readily used for reference, indexing, etc.

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