Software and hardware complex for obtaining photographic images based on IIOT technology and accuracy analysis of various algorithms for digital generation of 3D models based on the principle of photogrammetry

V.V. Konkov, A.B. Zamchalov, M.G. Zhabitsky

Abstract


The authors considered the methods of obtaining, transmitting and accumulating photographs based on the Internet of Things technology and analyzed the accuracy of various algorithms for digital generation of 3D models based on the principle of photogrammetry. These methods were used to develop a software and hardware complex that allows shooting objects from different sides for the subsequent conversion of the obtained photographs into three-dimensional objects for further comparative analysis of various algorithms for digital generation of 3D images. The features of using various methods of positioning stepper motors to move the camera around the subject were studied. In the course of the work, a software and hardware complex was developed for automated measurements of relatively small objects outside and inside the room using both photofixation and lidar scanning.

The resulting photographs of geometric shapes of varying complexity were transmitted to a remote computer and processed by various algorithms.

The aim of the study was to automate the end-to-end process of obtaining a series of photographs of objects from different angles and subsequent generation of 3D models of the desired quality by combining different methods and algorithms for processing a series of photographic images.

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References


Krasnopevtsev B.V. Photogrammetry. - M.: UPP "Reprography" MIIGAiK, 2008. - 160 p.

V.A. Klyachin, A.A. Shirokiy Delaunay triangulation of multidimensional surfaces Bulletin of the Samara State University — Natural Science Series. 2010.

Building a Photogrammetry Library. – Text: electronic // Artstation [electronic resource]. URL: https://www.artstation.com/blogs/olegroenbaek/L1by/building-a-photogrammetry-library (accessed: 04/24/2023).

Testing the Artec Ray 3D Scanner. - Text: electronic // 3Dnatives [electronic resource]. — URL: https://www.3dnatives.com/en/3dnatives-lab-testing-the-artec-ray-3d-scanner-290620214 /# (date of reference: 03.05.2023).

Avrunev E. Opritova O. EVALUATION OF THE ACCURACY OF 3D MODELS BUILT USING UNMANNED AIRCRAFT SYSTEMS Bulletin of the SSUGiT, Volume 23, No. 3, 2018

Mikheeva A.A., Yaltykhov V.V., Paradnya P.F. CREATING AN ORTHOPHOTOPLANE IN THE AGISOFT PHOTOSCAN 2021 PROGRAM

Photogrammetry: Step-by-Step Guide and Software Comparison [Electronic resource]. – URL: - https://formlabs.com/blog/photogrammetry-guide-and-software-comparison /(accessed 01.05.2023)

AutoDesk Recap Tutorial [Electronic resource]. – URL: - https://www.autodesk.com/support/technical/product/recap (accessed 01.05.2023)

RealityCapture Tutorial [Electronic resource]. – URL: - https://www.capturingreality.com/RealityCapture-Tutorials (accessed 01.05.2023)

Agisoft Metashape Tutorial [Electronic resource]. – URL: - https://www.agisoft.com/support/tutorials /(accessed 01.05.2023)

AliceVision Meshroom Tutorial [Electronic resource]. – URL: - https://meshroom-manual.readthedocs.io/en/latest/tutorials/sketchfab/sketchfab.html (accessed 01.05.2023)

3DF Zephyr Tutorial [Electronic resource]. – URL: - https://www.3dflow.net/technology/documents/3df-zephyr-tutorials / (accessed 01.05.2023)

Colmap Tutorial [Electronic resource]. – URL: - https://colmap.github.io/tutorial.html (accessed 01.05.2023)

Regard3D Tutorial [Electronic resource]. – URL: - https://www.regard3d.org/index.php/documentation/tutorial (accessed 01.05.2023)

Jacob A. Morgan & Daniel J. Brogan How to VisualSFM Department of Civil & Environmental Engineering Colorado State University Fort Collins, Colorado January 2016 [Electronic resource]. – URL: - https://d32ogoqmya1dw8.cloudfront.net/files/getsi/teaching_materials/high-reztopo/visual_sfm_tutorial.pdf( accessed 01.05.2023)

iWitness Tutorial [Electronic resource]. – URL: - https://iwitness.usc.edu/features (accessed 01.05.2023)

Photomodeler Tutorial [Electronic resource]. – URL: - https://www.photomodeler.com/tutorial-videos /(accessed 01.05.2023)

Qlone Tutorial [Electronic resource]. – URL: - https://www.qlone.pro/faq (accessed 01.05.2023)

Image-Based Localization in 3D Point Clouds [Electronic resource]. – URL: - https://mediatum.ub.tum.de/doc/1624887/1624887.pdf (accessed 01.05.23)

Kosyakov A., Sweet U., etc. System engineering. Principles and practice. Translated from English. edited by V.K. Batovrin. – M.: DMK Press, 2014. – 624 p.: ill.

Makarov S. L. Arduino Uno and Raspberry Pi 3: from circuitry to the Internet of Things. - Moscow: DMK Press, 2018. - 204 p.

Camera for Raspberry Pi "Model D". — Text: electronic // Amperka: [electronic resource]. — URL: http://wiki.amperka.ru/products:camera-raspberry-pi-model-d (accessed: 04/15/2023).

Python 3 Documentation [Electronic resource]. – URL: - https://docs.python.org/3/tutorial / (accessed: 01.05.2023)

Raspberry Pi GPIO. – Text: electronic // RPi Labs [electronic resource]. — URL: https://rpi.science.uoit.ca/lab/gpio / (accessed 04.04.2023).

Flask: Quickstart. – Text: electronic // flask-docs [electronic resource]. — URL: https://flask-docs.readthedocs.io/en/latest/quickstart / (accessed: 06.04.2023).

subprocess module — Working with processes. - Text: electronic // python-scripts [electronic resource]. — URL: https://python-scripts.com/subprocess (date of application: 04/10/2023).

Determination of the angle of inclination by the accelerometer. — Text: electronic // Bitaks: [electronic resource]. — URL: http://bitaks.com/resources/inclinometer/content.html (accessed: 03/10/2023).

How to use HMC5883L Compass Sensor. — Text: electronic // miliohm: [electronic resource]. — URL: https://miliohm.com/how-to-use-hmc5883l-compass-sensor / (accessed: 03/10/2023).

Raspberry Pi High Quality Camera — Text: electronic // Amperka: [electronic resource]. — URL: http://wiki.amperka.ru/products:raspberry-pi-high-quality-camera (accessed: 03.05.2023).

Gergana Antova Application of Areal Change Detection Methods Using Point Clouds Data IOP Conference Series Earth and Environmental Science 2019

Citation: Kharroubi, A.; Poux, F.; Ballouch, Z.; Hajji, R.; Billen, R. Three Dimensional Change Detection Using Point Clouds: A Review. Geomatics 2022, 2, 457–485. https://doi.org/ 10.3390/geomatics2040025

K. Kawano, S. Koide and T. Kutsuna, "Learning Wasserstein Isometric Embedding for Point Clouds," 2020 International Conference on 3D Vision (3DV), Fukuoka, Japan, 2020, pp. 473-482, doi: 10.1109/3DV50981.2020.00057.


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