Representation Forms Of 3d Data- Objects

Authors

  • Beknazarova Saida Safibullayevna Professor of Tashkent University of Information Technologies named after Muhammad Khwarizmi, Tashkent, Uzbekistan
  • Anvarxo’jaev Sarvarxo’ja A’zamxo’ja o’g’li master of Tashkent University of Information Technologies named after Muhammad Khwarizmi, Tashkent, Uzbekistan

Keywords:

often, methods, increasingly, architectures

Abstract

machine learning methods are increasingly resorted to to solve this issue. If we imagine the work of a machine learning algorithm in the form of a "black box", to which data of a given type is fed to the input and the algorithm outputs a prediction in the form of data of a given type, then if data encoding three-dimensional structures are presented at the input and/or output, we talk about the field of machine learning, which is called 3D ML (three dimensional data machine learning problems) or, the term Geometric deep learning is often found when it comes to the use of deep architectures.

References

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Berjón, Daniel & Morán, Francisco. (2012). Fast human pose estimation using 3D Zernike descriptors. Proceedings of SPIE — The International Society for Optical Engineering. 8290. 19-. 10.1117/12.908963.

Mescheder, Lars & Oechsle, Michael & Niemeyer, Michael & Nowozin, Sebastian & Geiger, Andreas. (2018). Occupancy Networks: Learning 3D Reconstruction in Function Space. [code]

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Published

2022-03-01

Issue

Vol. 5 (2022): TJM

Section

Articles

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How to Cite

Representation Forms Of 3d Data- Objects. (2022). Texas Journal of Multidisciplinary Studies, 5, 309-311. https://mail.zienjournals.com/index.php/tjm/article/view/904