ANN MODEL FOR 3D FEATURE STABILIZATION

Mualliflar

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

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ANN; 3D feature; stabilization; sigmoid.

Abstrak

 

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.

Iqtiboslar

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Nashr qilingan

2024-04-05

Nashr

Jild 3 Nomeri 4 (2024): Прикладные науки в современном мире: проблемы и решения

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Maqolalar

Iqtibos keltirish tartibi

ANN MODEL FOR 3D FEATURE STABILIZATION. (2024). Zamonaviy Dunyoda Amaliy Fanlar, 3(4), 4-8. https://www.in-academy.uz/index.php/ZDAF/article/view/12759