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3D Reconstruction of Landscape Models and Archaeological Objects Based on Photo and Video Materials

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

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Abstract

Computer technology is used to reconstruct the main parts of archaeological monuments by creating their 3D models. There is a number of software products that can solve this important task of historical and cultural studies. However, the existing solutions either require expensive specialized equipment or may only be used by specially trained personnel. This makes it relevant to create a software that could reconstruct 3D models automatically.

This paper describes the algorithm and development stages of a new application that comprises components with the following functionality: video decomposition, user movement tracking, point cloud creation, polygon mesh creation, and application of texture to a polygon mesh. The software we have developed allows to run an automatic 3D reconstruction of landscape models and archaeological objects based on photo and video materials. It allows to significantly reduce labour costs and processing time compared to the existing solutions. The software has a friendly interface and may be operated be users without special expertise.

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Acknowledgments

This research was partially supported by the Russian Foundation for Basic Research grants (projects no. 17-29-04288 17, 16-07-01113). The authors would like to acknowledge the Reviewers for the valuable recommendations that helped in the improvement of this paper.

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Correspondence to Anna Fatkina .

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Iakushkin, O., Selivanov, D., Tazieva, L., Fatkina, A., Grishkin, V., Uteshev, A. (2018). 3D Reconstruction of Landscape Models and Archaeological Objects Based on Photo and Video Materials. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10963. Springer, Cham. https://doi.org/10.1007/978-3-319-95171-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-95171-3_14

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-95171-3

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