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SfM Techniques Applied in Bad Lighting and Reflection Conditions: The Case of a Museum Artwork

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Advances in Computer Vision (CVC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 943))

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Abstract

In recent years, SfM techniques have been widely used especially in the field of Cultural Heritage. Some applications, however, remain undefined in cases where the boundary conditions are not suitable for the technique. Examples of this are instances where there are poor lighting conditions and the presence of glass and reflective surfaces. This paper presents a case study where SfM is applied, using a DSLR camera (Nikon D5200), to the “Head of Hades” inside a glass theca and under a large number of light sources at different distances and of different intensities and sizes. The geometric evaluation has been made comparing the DSLR camera model against the 3D data acquired with structured light systems.

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References

  1. Santagati, C., Inzerillo, L., Di Paola, F.: Image-based modeling techniques for architectural heritage 3D digitalization: limits and potentialities. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-5(W2), pp. 550–560 (2013)

    Article  Google Scholar 

  2. Inzerillo, L.: Smart SfM: salinas archaeological museum. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, vol. XLII-2/W5, pp. 369–374 (2017). https://doi.org/10.5194/isprs-archives-XLII-2-W5-369-2017

    Article  Google Scholar 

  3. Scopigno, R., et al.: Digital fabrication techniques for cultural heritage: a survey. Comput. Graph. Forum 36(1), 6–21 (2017)

    Article  Google Scholar 

  4. Garstki, K.: Virtual representation: the production of 3D digital artifacts. J. Archaeol. Method Theory 24(3), 726–750 (2017)

    Article  Google Scholar 

  5. Gonizzi Barsanti, S., Guidi, G.: 3D digitization of museum content within the 3D icons project. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. II-5/W1, 151–156 (2013)

    Article  Google Scholar 

  6. Wachowiak, M.J., Karas, B.V.: 3D scanning and replication for museum and cultural heritage applications. J. Am. Inst. Conserv. 48(2), 141–158 (2009)

    Article  Google Scholar 

  7. Inzerillo, L., Di Paola, F.: From SfM to 3D print: automated workflow addressed to practitioner aimed at the conservation and restoration. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, vol. XLII-2/W5, pp. 375–382 (2017). https://doi.org/10.5194/isprs-archives-XLII-2-W5-375-2017

    Article  Google Scholar 

  8. Barsanti, S.G., Remondino, F., Visintini, D.: Photogrammetry and laser scanning for archaeological site 3D modeling–some critical issues. In: Roberto, V., Fozzati, L. (eds.) Proceedings of the 2nd Workshop on The New Technologies for Aquileia, pp. 1–10 (2012). http://ceur-ws.org/Vol-948/paper2.pdf

  9. Mikhail, E.M., Bethel, J.S., Mcglone, C.: Introduction to Modern Photogrammetry. Wiley, Hoboken (2001)

    Google Scholar 

  10. Remondino, F., Fraser, C.: Digital camera calibration methods: considerations and comparisons. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 36(5), 266–272 (2006)

    Google Scholar 

  11. Schonberger, J.L., Frahm, J.-M.: Structure-from-Motion Revisited. In: Proceedings of CVPR (2016)

    Google Scholar 

  12. Menna, F., et al.: 3D digitization of an heritage masterpiece - a critical analysis on quality assessment. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 41, pp. 675–683, February 2016. https://doi.org/10.5194/isprsarchives-xli-b5-675-2016

    Article  Google Scholar 

  13. Gaiani, M., Remondino, F., Apollonio, F.I., Ballabeni, A.: An advanced pre-processing pipeline to improve automated photogrammetric reconstructions of architectural scenes. Remote Sens. 8(3), 178 (2016)

    Article  Google Scholar 

  14. Di Paola, F., Milazzo, G., Spatafora, F.: Computer aided restoration tools to assist the conservation of an ancient sculpture. In: The colossal Statue of Zeus enthroned, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-2/W5, pp. 177–184 (2017). https://doi.org/10.5194/isprs-archives-XLII-2-W5-177-2017

    Article  Google Scholar 

  15. Georgopoulos, A., Ioannidis, C. Valanis, A.: Assessing the performance of a structured light scanner. In: Commission V Symposium on International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 38(5). Citeseer (2010)

    Google Scholar 

  16. Compare, Cloud. CloudCompare (version 2.8)[GPL software]. (2017)

    Google Scholar 

Download references

Acknowledgment

This research has received funding from the European Union’s Horizon 2020 Programme, SMARTI ETN, under the Marie Curie-Skłodowska actions for research, technological development and demonstration, under grant agreement number 721493.

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Correspondence to Laura Inzerillo .

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Inzerillo, L. (2020). SfM Techniques Applied in Bad Lighting and Reflection Conditions: The Case of a Museum Artwork. In: Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-17795-9_29

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