Using machine learning methods to convert a scan into elements of a digital information model

Abstract

Using machine learning methods to convert a scan into elements of a digital information model

Knyazeva N.V., Semenikhin D.A., Kazakov S.D.

Incoming article date: 18.03.2025

The article discusses machine learning methods, their application areas, limitations and application possibilities. Additionally highlighted achievements in deep learning, which allow obtaining accurate results with optimal time and effort. The promising architecture of neural networks of transformers is also described in detail. As an alternative approach, it is proposed to use a generative adversarial network in the process of converting a scan into elements of a digital information model.

Keywords: scanning, point cloud, information model, construction, objects, representation, neural network, machine learning