Analysis of big data in computer graphics

Authors

  • O.N. Romanyuk Vinnytsia National Technical University
  • S.V. Pavlov Vinnytsia National Technical University
  • O.L. Bobko Vinnytsia National Technical University
  • E.K. Zavalnyuk Vinnytsia National Technical University
  • O.O. Reshetnik Vinnytsia National Technical University

DOI:

https://doi.org/10.31649/1681-7893-2024-47-1-50-57

Keywords:

Big data, rendering, parallelization, machine learning.

Abstract

In this article, an overview of the aspects of big data analysis and representation in computer graphics is presented, creating new prospects for the development and improvement of applications for processing graphic information, visualization, and simulation. Thanks to advancements in data processing and analysis technologies, computer graphics can become even more realistic, interactive, and efficient. Data can come from various sources, including 3D scanning, modeling, sensors, video cameras, games, and simulations. Storing large volumes of graphic data requires effective solutions such as distributed file systems, databases, and cloud services. The review analysis covers the processing of big data, including machine learning, image recognition algorithms, parallel computing, and resource optimization. Special attention is paid to the challenges and prospects of using big data in computer graphics, which includes improving the quality of graphic data analysis, optimizing the rendering of extremely large images, and integration with third-party systems.

Author Biographies

O.N. Romanyuk, Vinnytsia National Technical University

Ph.D., professor, head of the software department

S.V. Pavlov, Vinnytsia National Technical University

Ph.D., professor of the Department of Biomedical Engineering and Optical-Electronic Systems

O.L. Bobko, Vinnytsia National Technical University

assistant of the department of software

E.K. Zavalnyuk, Vinnytsia National Technical University

graduate student of the software department

O.O. Reshetnik, Vinnytsia National Technical University

assistant of the department of software

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Published

2024-06-27

How to Cite

[1]
O. . Romanyuk, S. . Pavlov, O. Bobko, E. Zavalnyuk, and O. Reshetnik, “Analysis of big data in computer graphics”, Опт-ел. інф-енерг. техн., vol. 47, no. 1, pp. 50–57, Jun. 2024.

Issue

Vol. 47 No. 1 (2024)

Section

Systems Of Technical Vision And Artificial Intelligence, Image Processing And Pattern Recognition

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