ANN MODEL FOR 3D FEATURE STABILIZATION

Авторы

  • Mirzayan Kamilov Academician of the Academy of Sciences of Uzbekistan, Doctor of Technical Sciences, Professor, Digital Technologies and Artificial Intelligence Research Institute, Tashkent, Uzbekistan Автор
  • Khabibullo Nosirov Professor, Department of TV and Radio Broadcasting Systems, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Автор
  • Shohruh Begmatov Associate Professor, Department of TV and Radio Broadcasting Systems, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Автор
  • Mukhriddin Arabboev Associate Professor, Department of TV and Radio Broadcasting Systems, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Автор

Ключевые слова:

ANN; 3D feature; stabilization; sigmoid.

Аннотация

 

Three-dimensional (3D) feature stabilization is a crucial aspect in various fields such as computer vision, robotics, and augmented reality. It is essential to maintain the stability of identified features across frames for accurate analysis and reliable performance. In this paper, we propose an Artificial Neural Network (ANN) model designed specifically for 3D feature stabilization tasks. Our model uses the inherent capacity of neural networks to learn complex patterns and relationships within sequential data to effectively stabilize 3D features across consecutive frames.

Библиографические ссылки

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M. Arabboev, S. Begmatov, K. Nosirov, J. C. Chedjou, and K. Kyamakya, “Development of a novel method of adaptive image interpolation for image resizing using artificial intelligence,” in IVUS 2022: 27th International Conference on Information Technology, pp. 32–38

Опубликован

2024-04-05

Как цитировать

ANN MODEL FOR 3D FEATURE STABILIZATION. (2024). Прикладные науки в современном мире, 3(4), 4-8. https://in-academy.uz/index.php/ZDAF/article/view/12759