Expert System for Supporting the Construction of Three-Dimensional Models of Objects by the Photogrammetry Method

Authors

DOI:

https://doi.org/10.31861/sisiot2023.2.02005

Keywords:

expert system, CLIPS, 3D model, photogrammetry, 3DF Zephyr

Abstract

The task of building high-quality three-dimensional (3D) models of objects is relevant, since such 3D models are widely used in various fields of science, technology and medicine. In this work, the construction of 3D models is performed by the photogrammetry method, which consists in the construction of a 3D model of an object based on a series of its photographs. The advantages of the photogrammetry method are low hardware requirements and relatively high accuracy. To build 3D models of objects by photogrammetry, the 3DF Zephyr program was used, which contains a set of tools for pre-processing images, reconstructing 3D models, editing and measuring the dimensions of 3D models, and exporting the obtained models. The principles of building three-dimensional models of objects by the method of photogrammetry based on initial images are considered. The main stages of building 3D models are described: calculation of sparse point cloud, key points, dense point cloud, polygon grid, texture grid. Model parameters are also edited and analyzed. An expert system was developed in the CLIPS environment to select the correct modes for building a 3D model. The knowledge base of the expert system contains production rules that allow you to establish the correct modes of building a 3D model based on the initial facts. 30 facts-conditions have been developed that describe the conditions for building a three-dimensional model. 20 facts-consequences and 15 facts-recommendations for building a 3D model have been developed. Using the developed rules, 36 production rules were built. Experimental verification of the developed system was carried out. Three-dimensional models of objects were built using the 3DF Zephyr program. After entering the facts that describe the process of obtaining the model into the expert system, a number of recommendations were obtained, in particular, to increase the area of textured surfaces and use uniform lighting of objects. After following these recommendations, the model was built with satisfactory accuracy.

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Author Biographies

  • Serhiy Balovsyak, Yuriy Fedkovych Chernivtsi National University

    In 1995, graduated from Chernivtsi State University. In 2018, defended his doctoral dissertation in the specialty "Computer systems and components". Currently, works as an associate professor at the Department of Computer Systems and Networks of Chernivtsi National University. Research interests include digital signal processing, programming, artificial neural networks.

  • Vladyslav Vasiliev

    In 2023, graduated from Yuriy Fedkovich Chernivtsi National University with a degree in "Information Systems and Technologies" (bachelor's level).  Currently studying at the Chernivtsi National University, majoring in "Computer Engineering" (master's level).

  • Ihor Fodchuk, Yuriy Fedkovych Chernivtsi National University

    In 1979 graduated from Chernivtsi State University. In 1994 defended Doctoral thesis in the specialty “Solid State Physics” and in 1996 become Professor of Chernivtsi State University. Currently is a Dean of Faculty of Architecture, Construction Engineering, and Decorative and Applied Arts. Research interests include solid state physics, material structure diagnostics, digital signal processing of experimental data.

References

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D. Kim, D. Hwang, Intelligent Imaging and Analysis. Basel / MDPI, 2020.

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Abstract views: 82

Published

2023-12-30

Issue

Section

Articles

How to Cite

[1]
S. Balovsyak, V. Vasiliev, and I. Fodchuk, “Expert System for Supporting the Construction of Three-Dimensional Models of Objects by the Photogrammetry Method”, SISIOT, vol. 1, no. 2, p. 02005, Dec. 2023, doi: 10.31861/sisiot2023.2.02005.

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