Moskva, Moscow, Russian Federation
employee from 01.01.2023 until now
Russian Federation
employee from 01.01.2023 until now
Russian Federation
UDC 528.74
CSCSTI 36.23
Multicamera photographic systems for creating three-dimensional models of the human body produced abroad are used in medical institutions for plastic surgery and orthodontics. These systems provide high accuracy up to 0.5 mm, but the cost of such solutions can be significant, which limits their availability for public medical centres. This high accuracy of photogrammetric technologies is achieved by sensors that provide highly detailed imaging and rigorous photogrammetric processing algorithms. At the same time, the important task of face shape estimation to analyse its asymmetry is not fully solved. The paper presents the experience of developing a 15-camera photogrammetric system designed for quantitative estimation of human face shape changes. The sources of errors, which inevitably occur when modelling the face of a living person, have been analysed, the real range of errors, which should be expected when shooting with a specialised multicamera photographic systems, has been calculated. As a result, it was determined that the accuracy provided by the stereophotorgammetric method allows to reproduce the facial relief forms (taking into account the variability) with an accuracy not exceeding 1.5 mm. The error introduced by the process of bringing the models into a coherence system of coordinates of the first model is of the order of 1.2–1.4 mm, and the dynamics of facial changes can be reliably assessed if the changes in height (convexity) are not less than 5 mm. These results meet the needs of clinicians, but can be improved by improving the algorithms of mutual orientation of models into a coherence system of coordinates.
specialized multifunctional photographic installation, three-dimensional facial models, accuracy estimation, variability
1. Ryahovskiy A.N., Levickiy V.V. Sistema 3D-vizualizacii lica i zubnyh ryadov // Panorama ortopedicheskoy stomatologii. 2008. № 1. S. 2–4.
2. Kozhevnikova M.I., Mihaylov A.P., Skrypicyna T.N. i dr. Vizualizaciya rel'efa tela cheloveka metodom stereofotogrammetrii i kolichestvennaya ocenka ego parametrov // Byulleten' eksperimental'noy biologii i mediciny. 2012. T. 154. № 10. S. 525–528.
3. Ort R., Metzler P., Kruse AL., et al. The Reliability of a Three-Dimensional Photo System- (3dMDface-) Based Evaluation of the Face in Cleft Lip Infants // Plastic Surgery International. 2012. 138090. DOIhttps://doi.org/10.1155/2012/138090.
4. Nebaba S.G., Zaharova A.A. Primenenie algoritma formirovaniya individual'noy trehmernoy modeli chelovecheskogo lica v sisteme raspoznavaniya lichnosti po izobrazheniyu lica // Sbornik trudov 26-y Mezhdunarodnoy konferencii GraphiCon2016 (Nizhniy Novgorod, 19–23 sentyabrya 2016 g.). N. Novgorod: IFTI, NNGASU, 2016. S. 310–313.
5. Pesce M., Galantucci L.M., Lavecchia F.A. 12-camera body scanning system based on close-range photogrammetry for precise applications // Virtual and Physical Prototyping. 2016. Vol. 11. No. 1. P. 49–56. DOIhttps://doi.org/10.1080/17452759.2015.1101872.
6. Othman S.A., Saffai L., Wan Hassan W.N. Validity and reproducibility of the 3D VECTRA photogrammetric surface imaging system for the maxillofacial anthropometric measurement on cleft patients // Clinical Oral Investigations. 2020. Vol. 24. P. 2853–2866. DOIhttps://doi.org/10.1007/s00784-019-03150-1.
7. Zhuang J., Ma H., Wang C., et al. Applying 3D scanning to evaluate facial symmetry in Asian populations // Journal of Plastic, Reconstructive & Aesthetic Surgery. 2024. Vol. 99. P. 11–17. DOIhttps://doi.org/10.1016/j.bjps.2024.09.025.
8. Nord F., Ferjencik R., Seifert B., et al. The 3dMD photogrammetric photo system in craniomaxillofacial surgery: Validation of interexaminer variations and perceptions // Journal of Cranio-Maxillofacial Surgery. 2015. Vol. 43. No. 9. P. 1798–1803. DOIhttps://doi.org/10.1016/j.jcms.2015.08.017.
9. Savoldelli C., Benat G., Castillo L., et al. Accuracy, repeatability and reproducibility of a handheld three-dimensional facial imaging device: the Vectra H1 // Journal of Stomatology, Oral and Maxillofacial Surgery. 2019. Vol. 120. No. 4. P. 289–296. DOIhttps://doi.org/10.1016/j.jormas.2019.03.012.
10. Skrypicyna T.N., Dryga D.O., Zhurkin I.G. i dr. Osobennosti primeneniya i ocenka tochnosti fotogrammetricheskogo metoda v dokazatel'noy medicine // Izvestiya vuzov «Geodeziya i aerofotos'emka». 2023. T. 67. № 4. S. 32–44. DOIhttps://doi.org/10.30533/GiA-2023-019.
11. Shah P.B., Luximon Y. Review on 3D scanners for head and face modeling // Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design: Proceedings of 8th International Conference (Vancouver, BC, Canada, July 9–14, 2017). Cham: Springer International Publishing, 2017. R. 47–56. DOIhttps://doi.org/10.1007/978-3-319-58463-8_5.
12. Dryga D.O. Razrabotka metodiki s'emki ob'ektov kul'turnogo naslediya dlya informacionnyh sistem muzeev Rossiyskoy Federacii: dis. ... kand. tehn. nauk. M., 2020. 138 s.
13. Nikishin D.A. Razrabotka i issledovanie metodov cifrovoy nazemnoy stereofotogrammetricheskoy s'emki: dis. ... kand. tehn. nauk. M., 2004. 159 c.
14. Lague D., Brodu N., Leroux J. Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) // ISPRS Journal of Photogrammetry and Remote Sensing. 2013. Vol. 82. R. 10–26. DOI:115https://doi.org/10.1016/j. isprsjprs.2013.04.009.
15. James M.R, Robson S., Smith M.W. 3-D uncertainty-based topographic change detection with structure-from-motion photogrammetry: precision maps for ground control and directly georeferenced surveys // Earth Surface Processes and Landforms. 2017. Vol. 42. No. 12. P. 1769–1788. DOIhttps://doi.org/10.1002/esp.4125.
16. Makoveckiy A.Yu., Voronin S.M., Tihon'kih D.V. i dr. Tochnye resheniya variacionnoy zadachi algoritma ICP v klasse affinnyh preobrazovaniy // Chelyabinskiy fiziko-matematicheskiy zhurnal. 2017. T. 2. № 3. S. 282–294.
17. Sforza C., Dellavia C., Rosati R., et al. Three-dimensional facial morphometry: from anthropometry to digital morphology // Handbook of Anthropometry: Physical Measures of Human Form in Health and Disease. Springer. 2012. P. 611–624. DOIhttps://doi.org/10.1007/978-1-4419-1788-1_32.
18. Zhou S., Xiao S. 3D face recognition: a survey // Human-centric Computing and Information Sciences. 2018. Vol. 8. No. 35. P. 1–27. DOIhttps://doi.org/10.1186/s13673-018-0157-2.




