Željko Santoši, Igor Budak, Mario Šokac, Tatjana Puškar, Đorđe Vukelić, Branka Trifković

DOI Number
First page
Last page


Development and improvement of 3D digitizing systems provide for the ability to digitize a growing number of materials and geometrical forms of greater complexity. This paper presents the application of 3D digitizing system using close range photogrammetry on the upper jaw cast in plaster in order to obtain its 3D model. Because of the low visual characteristics of gypsum, such as color and texture, many questions arise about the possibility of applying this particular method to this type of physical models. In order to overcome bad visual properties of gypsum, this paper analyzes the possibility of the photogrammetry method application supported by the projected light texture which is based on patterns in the form of noise-obtained  mathematically modeled functions. In order to determine the selected image for light texture which gives the better results, an experiment was designed and carried out. Only two images were tested. One image is selected based on previous research and the other one was generated by the Matlab function for uniformly distributed random numbers. For validation and a comparative analysis of the results, an object of 3D digitization was generated with and without projected light texture. CAD inspection was applied for the analysis of the obtained 3D digitizing results. 3D model obtained by approved professional optical 3D scanner as a reference was used. The results in this paper confirm better accuracy of 3D models obtained with the use of light textures, but this approach requires additional hardware and setup adjustment for images acquisition.


3D Digitization, Close Range Photogrammetry, Noise-based Patterns, CAD inspection

Full Text:



Stojkovic, M., Veselinovic, M., Vitkovic, N., Marinkovic, D., Trajanovic, M., Arsic, S., Mitkovic, M., 2018, Reverse modeling of human long bones using T-splines - case of tibia, Tehnicki Vjesnik, accepted for publishing.

Sansoni, G., Trebeschi, M., Docchio, F., 2009, State-of-the-art and applications of 3D imaging sensors in industry, cultural heritage, medicine, and criminal investigation, Sensors, 9(1), pp. 568-601.

Apuzzo, N., Consulting, H., 2006, Overview of 3D surface digitization technologies in Europe, in: Corner B.D., Li P., Tocheri M. (Eds.), Three-Dimensional Image Capture and Applications VI, Proc. of SPIE-IS&T Electronic Imaging, SPIE Vol. 6056, San Jose (CA), USA.

Luhmann, T., 2010, Close range photogrammetry for industrial applications, ISPRS Journal of Photogrammetry and Remote Sensing, 65(6), pp. 558-569.

Santoši, Ž., Šokac, M., Korolija-Crkvenjakov, D., Kosec, B., Soković, M., Budak I., 2015, Reconstruction of 3D models of cast sculptures using close-range photogrammetry, Metalurgija 54(4), pp. 695-698.

Arbace, L., Sonnino, E., Callieri, M., Dellepiane, M., Fabbri, M., Iaccarino Idelson, A., Scopigno, R., 2013, Innovative uses of 3D digital technologies to assist the restoration of a fragmented terracotta statue, Journal of Cultural Heritage, 14(4), pp. 332-345.

Belhadj, A., Boudjema, H. 2017, Recent Advances of Mechanical Engineering Applications in Medicine and Biology, Medical Technologies Journal, 1(3), pp. 62-75.

Taneva, E., Kusnoto, B., Evans, C., 2015, Chapter 9: 3D Scanning, Imaging, and Printing in Orthodontics, in Bourzgui, F. (ed.), Issues in Contemporary Orthodontics, IntechOpen.

Mirković, S., Budak, I., Puškar, T., Tadić, A., Šokac, M., Santoši, Ž., Đurđević Mirković, T., 2015, Application Of Modern Computer-Aided Technologies In The Production of Individual Bone Graft. A Case Report, Vojnosanitetski pregled, 72(12), pp. 1049–1140.

Logozzo, S., Zanetti, E., Franceschini, G., Kilpelä, A., Mäkynen, A., 2014, Recent advances in dental optics – Part I: 3D intraoral scanners for restorative dentistry, Optics and Lasers in Engineering, 54, pp. 203–222.

Trifković, B., 2012, Analysis of metrological characteristics of the optical digitization devices in dental CAD/CAM technology, PhD Thesis, University of Belgrade, School of Dental Medicine, Serbia.

Budak, I., Trifkovic, B., Puskar, T., Vukelic, Dj., Vucaj-Cirilovic, V., Hodolic, J., Todorovic A., 2013, Comparative analysis of 3D digitization systems in the field of dental prosthetics, Tehnicki Vjesnik, 20(2), pp. 291-296.

Micheletti, N., Chandler, J., Lane, S., 2015, Section 2.2.2 Structure from Motion (SfM) Photogrammetry, in: Cook, S.J., Clarke, L.E., Nield, J.M. (Eds.), Geomorphological Techniques, (Online Edition), British Society for Geomorphology; London, UK.

Alsadik, B.S.A., 2014, Guided close range photogrammetry for 3D modelling of cultural heritage sites, PhD Thesis, University of Twente, Netherlands.

Koutsoudis, A., Ioannakis, G., Vidmar, B., Arnaoutoglou, F., Chamzas, C., 2015, Using noise function-based patterns to enhance photogrammetric 3D reconstruction performance of featureless surfaces, Journal of Cultural Heritage, 16(5), pp. 664-670.

Galantucci, L.M., Percoco, G., Dal Maso, U., 2008, Coded targets and hybrid grids for photogrammetric 3D digitisation of human faces, Virtual and Physical Prototyping, 3(3), pp. 167-176.

Moler, C., 2004, Chapter 9: Random Numbers, in: Numerical Computing with MATLAB, Society for Industrial and Applied Mathematics.

Cook, R., Derose, T., 2003, Wavelet Noise, ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH, 24(3), pp. 803-811.

DOI: https://doi.org/10.22190/FUME170620029S


  • There are currently no refbacks.

ISSN: 0354-2025 (Print)

ISSN: 2335-0164 (Online)

COBISS.SR-ID 98732551

ZDB-ID: 2766459-4