Abstract
The article describes the algorithm for creating three-dimensional models of stones from their polygonal mesh and a prototype photo. This method extracts PBR textures from the source image of the object and makes them seamless. Then, using the Blender software, a UV scan of the model is built. At the next stage, the coordinates of the sweep seams are extracted, and the quality of the textures is improved. Then, the resulting textures are superimposed on the object following the UV scan. The result is a three-dimensional model of the object with the textures applied to it. Also, a program was implemented that allows you to perform the above actions with a click of a button, which makes the process of obtaining a finished model as simple as possible. Among other things, the model was successfully exported to other programs working with 3D graphics.
O. Iakushkin—This research was partially supported by the Russian Foundation for Basic Research grant (project no. 17-29-04288).
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Notes
- 1.
GitHub repository: https://github.com/8-lines/blender_PBR.
References
Anastasiadou, C., Vettese, S.: “From souvenirs to 3D printed souvenirs". Exploring the capabilities of additive manufacturing technologies in (re)-framing tourist souvenirs. Tour. Manag. 71, 428–442 (2019)
Choy, C.B., Xu, D., Gwak, J.Y., Chen, K., Savarese, S.: 3D-R2N2: a unified approach for single and multi-view 3D object reconstruction. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 628–644. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46484-8_38
Degtyarev, A., Iakushkin, O., Shvemberger, S.: Decomposition of the modeling task of some objects of archeological research for processing in a distributed computer system. Comput. Res. Model. 7, 533–537 (2015)
Eve, S.: Augmenting phenomenology: using augmented reality to aid archaeological phenomenology in the landscape. J. Archaeol. Method Theory 19, 582–600 (2012). https://doi.org/10.1007/s10816-012-9142-7
Fan, H., Su, H., Guibas, L.: A point set generation network for 3D object reconstruction from a single image. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2463–2471, July 2017
Hess, R.: The Essential Blender: Guide to 3D Creation with the Open Source Suite Blender. No Starch Press, San Francisco (2007)
Hess, R.: Blender Foundations: The Essential Guide to Learning Blender 2.5. Focal Press, Waltham (2013)
Iakushkin, O., Fatkina, A., Plaksin, V., Sedova, O., Degtyarev, A., Uteshev, A.: Reconstruction of stone walls in form of polygonal meshes from archaeological studies. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10963, pp. 136–148. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95171-3_12
Iakushkin, O., Selivanov, D., Tazieva, L., Fatkina, A., Grishkin, V., Uteshev, A.: 3D reconstruction of landscape models and archaeological objects based on photo and video materials. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10963, pp. 160–169. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95171-3_14
Iakushkin, O.O., Malevanniy, D.M., Degtyarev, A.B., Selivanov, D.A., Fatkina, A.I.: Texture generation for archaeological reconstructions. In: Proceedings of the VIII International Conference “Distributed Computing and Grid-Technologies in Science and Education”, pp. 462–466 (2018)
Iakushkin, O., Budlov, E., Uteshev, A., Grishkin, V.: Automated creation of unique editable textures for three-dimensional models of archaeological artefacts. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 752–760. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_56
Julius, W.: Developing a process for automating UV mapping and polygon reduction (2016)
Krokos, M., Dykes, T., Hassan, A., Croton, D., Gheller, C.: Interactive 3D visualization for theoretical virtual observatories. Mon. Not. R. Astron. Soc. 477(2), 1495–1507 (2018). https://doi.org/10.1093/mnras/sty855
Liarokapis, F., Kouřil, P., Agrafiotis, P., Demesticha, S., Chmelík, J., Skarlatos, D.: 3D modelling and mapping for virtual exploration of underwater archaeology assets. ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XLII–2/W3, 425–431 (2017)
Malevanniy, D., Sedova, O., Iakushkin, O.: Controlled remote usage of private shared resources via Docker and NoVNC. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 782–791. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_59
Marques, L., et al.: Cultural heritage 3D modelling and visualisation within an augmented reality environment, based on geographic information technologies and mobile platforms. ACE: Archit. City Environ. 11, 117–136 (2017)
Matsuyama, T., Nobuhara, S., Takai, T., Tung, T.: 3D Video and Its Applications. Springer, London (2012). https://doi.org/10.1007/978-1-4471-4120-4
Oleg, I., et al.: Position tracking in 3D space based on a data of a single camera. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 772–781. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_58
Oleg, I., et al.: The architecture of the robot-finder based on SLAM and neural network. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 761–771. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_57
Remondino, F., Campana, S.: 3D recording and modelling in archaeology and cultural heritage. BAR Int. Ser. 2598, 111–127 (2014)
Remondino, F., El-Hakim, S., Girardi, S., Rizzi, A., Benedetti, S., Gonzo, L.: 3D virtual reconstruction and visualization of complex architectures - the 3D-arch project. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 38 (2009)
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This research was partially supported by the Russian Foundation for Basic Research grant (project no. 17-29-04288).
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Iakushkin, O., Budlov, E., Bainova, E., Sedova, O. (2020). Algorithm for Creating Massive Amounts of Unique Three-Dimensional Models and Materials from Rocks. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_8
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