Reconstruction of Metal Objects - 3D Photogrammetry and Clay Coating

Öz

This work focuses on the development of a reconstruction process using 3D photogrammetry for metal objects, which are often difficult to scan in three-dimensional (3D) due to their shiny, smooth and featureless surfaces. Usually, expensive 3D scanning technologies are used for high accuracy reconstructions. This research presents a novel approach using clay powder to improve the geometric accuracy of 3D reconstructions through a coating process, a first in the literature. Twelve metal objects with cubic, cylindrical and spherical geometries were selected for the study. They were photographed in a controlled environment using a turntable, camera and 18-135 mm lens. 3D reconstructions of these objects were obtained initially without coating and then by applying clay powder. The reconstructions were then compared for geometric accuracy and mesh quality. The main findings from the study show that clay coating significantly improves the geometric accuracy of the reconstruction process. In addition, it also improves the homogeneity of the mesh structures. These improvements were confirmed by deviation analysis, which compared the models generated by the reconstruction process with computer-aided design (CAD) models drawn according to the actual dimensions of the objects. The study highlights the potential of clay coating as a viable alternative method to improve geometric accuracy in the 3D reconstruction process.

Anahtar Kelimeler

• 3D Photogrammetry
• Coating
• Computer aided design (CAD)
• Image based modeling
• Reconstruction
• Reverse engineering

Kaynakça

1. Awange J, Kiema J. 2019. Fundamentals of photogrammetry, environmental geoinformatics. Springer, Cham, Germany, pp: 161-178.
2. Axelsson P. 1991. Fundamentals of real-time photogrammetry, ISPRS J Photogrammet Remote Sens, 46(2): 114-115.
3. Beaman JJ, Barlow JW, Bourell DL, Crawford RH, Marcus HL, McAlea KP. 1997. Polymers in solid freeform fabrication, solid freeform fabrication: A new direction in manufacturing. Springer, Boston US.
4. Cansiz E, Arslan YZ, Turan F, Atalay B. 2014. Computer-assisted design of patient-specific sagittal split osteotomy guide and soft tissue retractor. J Medic Biol Eng, 34(4): 363.
5. Eulitz M, Reiss G. 2015. 3D reconstruction of SEM images by use of optical photogrammetry software. J Struct Biol, 191(2): 190-196.
6. Gessner A, Ptaszyński W, Adam W. 2022. Accuracy of the new method of alignment of workpiece using structural-light 3D scanner. Advan Sci Technol Res J, 16(1): 1-14.
7. Ghali S. 2008. Constructive solid geometry, Introduction to geometric computing. Springer, London, UK, pp: 277-283.
8. Gomez C, Kennedy B. 2018. Capturing volcanic plumes in 3D with UAV-based photogrammetry at Yasur Volcano – Vanuatu. J Volcanol Geothermal Res, 350: 84-88.

9. Helle RH, Lemu HG. 2021. A case study on use of 3D scanning for reverse engineering and quality control. Mater Today, 45: 5255-5262.
10. Javaid M, Haleem A, Pratap SR, Suman R. 2021. Industrial perspectives of 3D scanning: Features, roles and it’s analytical applications. Sensors Int, 2: 100-114.
11. Kanun E. 2021. Using photogrammetric modeling in reverse engineering applications: Damaged turbocharger example. Mersin Photogrammet J, 3(1): 21-28.
12. Kingsland K. 2020. Comparative analysis of digital photogrammetry software for cultural heritage. Digital Appl Archaeol Cultural Herit, 18: 157.
13. Kohtala S, Erichsen JF, Wullum OP, Steinert M. 2021. Photogrammetry-based 3D scanning for supporting design activities and testing in earlystage product development. Procedia CIRP, 100: 762-767.
14. Kurilová V, Bemberáková D, Kocián M, Šterbák D, Knapčok T, Palkovič M, Hančák S. 2023. Unexpected corneal reflection phenomenon alters smartphone 3D image-based models of the eye. J Elect Eng, 74(6): 513-520.
15. Mathys A, Semal P, Brecko J, Van den Spiegel D. 2019. Improving 3D photogrammetry models through spectral imaging: Tooth enamel as a case study. Plos ONE, 14(8): 1-33.
16. Matthews NA. 2008. Aerial and close-range photogrammetric technology: providing resource documentation, interpretation, and preservation. US Department of the Interior, Bureau of Land Management, National Operations Center, Denver, Colorado, US.
17. Molnár A. 2019. Surveying archaeological sites and architectural monuments with aerial drone photos. Acta Polytech Hungarica, 16(7): 217-232.
18. Orun AB, Goodyer E, Smith G. 2018. 3D non-invasive inspection of the skin lesions by close-range and low-cost photogrammetric techniques. Image Analy Stereol, 37(1): 63-70.
19. Pepe M, Costantino D. 2020. UAV photogrammetry and 3D modelling of complex architecture for maintenance purposes: The case study of the Masonry Bridge on the Sele River, Italy. Period Polytech Civil Eng, 65: 1-13.
20. Puerta APV, Jimenez-Rodriguez RA, Fernandez-Vidal S, Fernandez-Vidal SR. 2020. Photogrammetry as an engineering design tool. In Alexandru C, Jaliu C, Comşit M eds., Product design, IntechOpen, London, UK, pp: 41.
21. Reis HC. 2018. Detection of foot bone anomaly using medical photogrammetry. Int J Eng Geosci, 3(1): 1-5.
22. Remondino F, El‐Hakim S. 2006. Image‐based 3D modelling: A review. Photogrammet Record, 21(115): 269-291.
23. Rues S, Waldecker M, Rammelsberg P, Zenthöfer A. 2021. Effect of mesh homogeneity and choice of target surface on statistical evaluation of mesh differences. Biotribology, l(26): 100-176.
24. Seeberger R, Hoffmann J, Freudlsperger C, Berger M, Bodem J, Horn D, Engel M. 2016. Intracranial volume (ICV) in isolated sagittal craniosynostosis measured by 3D photocephalometry: A new perspective on a controversial issue. J Cranio-Maxillofacial Surg, 44(5): 626-631.
25. Slaker B, Mohamed K. 2017. A practical application of photogrammetry to performing rib characterization measurements in an underground coal mine using a DSLR camera. Int J Mining Sci Technol, 27(1): 83-90.
26. Struck R, Cordoni S, Aliotta S, Pérez-Pachón L, Gröning F. 2019. Application of photogrammetry in biomedical science. In: Rea P (eds) Biomedical Visualisation. Advances in Experimental Medicine and Biology, vol 1120. Springer, Cham, pp: 121-130. https://doi.org/10.1007/978-3-030-06070-1_10
27. Surmen HK, Akalan NE, Fetvaci MC, Arslan YZ. 2018. A Novel dorsal trimline approach for passive-dynamic ankle-foot orthoses. Strojniški Vestnik J Mechan Eng, 64(3): 185-194.
28. Surmen HK. 2023. Photogrammetry for 3D reconstruction of objects: Effects of geometry, texture and photographing. Image Analy Stereol, 42(2): 51-63.
29. Tóth D, Petrus K, Heckmann V, Simon G, Poór VS. 2021. Application of photogrammetry in forensic pathology education of medical students in response to COVID‐19. J Forensic Sci, 66(4): 1533-1537.
30. Valinasab B, Rukosuyev M, Lee J, Ko J, Jun MBG. 2015. Improvement of optical 3D scanner performance using atomization-based spray coating. J Korean Soc Manufact Technol Eng, 24(1): 23-30.
31. Wang H, Zhou J, Zhao T, Tao Y. 2016. Springback compensation of automotive panel based on three-dimensional scanning and reverse engineering. Int J Advan Manufact Technol, 85(5): 1187-1193.
32. Yaman A, Yılmaz HM. 2017. The effect of object surface colors on terrestrial laser scanners. Int J Eng Geosci, 2(2): 68-74.
33. Yang S, Shi X, Zhang G, Lv C. 2018. A dual-platform laser scanner for 3D reconstruction of dental pieces. Engineering, 4(6): 796-805.