Skip to main content


The paper describes the ongoing research on an interdisciplinary approach regarding the technological developments adapted for monitoring CH objects. It covers aspects from data capturing, to data processing and cross-time registration methodologies. The work of three individual projects, that are carried out in the framework of ITN-CHANGE (Horizon 2020, GA 813789) project, are presented. These projects are based on the different backgrounds and expertise of the co authors which, when combined, can cover a wide spectrum of information indispensable for the accurate monitoring of CH objects. The potentiality of 3D Digital Image Correlation (3D DIC) for monitoring in and out of plane displacements as well as advances in Reflectance Transformation Imaging (RTI) for data processing for monitoring specular surfaces, are examined. Computational cross-time and multi-modal registration algorithms are developed for correlating 3D non-registered data over-time. Feasibility studies on mock-ups and simulated data are presented for the validation of the adapted methodologies.

This work has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 813789. A. Papanikolaou greatly appreciates the financial support granted by the Scientific Council of the Discipline Automatic, Electronics and Electrical Engineering, WUT, grant agreement No. 504/04542/1143/43.020004.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


  1. MacDonald, L.: Digital Heritage: Applying Digital Imaging to Cultural Heritage. Routledge, Milton Park (2006)

    Google Scholar 

  2. Pintus, R., et al.: Geometric analysis in cultural heritage. In: GCH, pp. 117–133 (2014)

    Google Scholar 

  3. Saha, S., Siatou, A., Sitnik, R.: Classification of surface geometry behavior of cultural heritage surfaces based on monitoring change. In: Optics for Arts, Architecture, and Archaeology VIII. vol. 11784. International Society for Optics and Photonics (2021)

    Google Scholar 

  4. CHANGE cultural heritage analysis for new generations, European union’s horizon 2020 research and innovation programme. Accessed Apr 2021

  5. Sutton, M.A., Orteu, J.J., Schreier, H.W.: Image correlation for shape, motion and deformation measurements : basic concepts, theory and applications. Springer, Boston (2009).,

  6. Papanikolaou, A., Garbat, P., Kujawinska, M.: Colour digital image correlation method for monitoring of cultural heritage objects with natural texture. In: Liang, H., Groves, R. (eds.) Optics for Arts, Architecture, and Archaeology VIII, vol. 11784, pp. 166–177. International Society for Optics and Photonics, SPIE (2021).

  7. Kujawinska, M., et al.: Digital image correlation method: a versatile tool for engineering and art structures investigations. In: Rodríguez-Vera, R., et al. (eds.) 22nd Congress of the International Commission for Optics: Light for the Development of the World, vol. 8011, pp. 2599–2606. SPIE (2011).

  8. Malesa, M., et al.: Application of digital image correlation for tracking deformations of paintings on canvas. In: Pezzati, L., Salimbeni, R. (eds.) O3A: Optics for Arts, Architecture, and Archaeology III, vol. 8084, pp. 157–164. International Society for Optics and Photonics, SPIE (2011).

  9. Malowany, K., et al.: Application of 3d digital image correlation to track displacements and strains of canvas paintings exposed to relative humidity changes. Appl. Opt. 53(9), 1739–1749 (2014).

    Article  Google Scholar 

  10. Papanikolaou, A., Dzik-kruszelnicka, D., Saha, S., Kujawinska, M.: 3D digital image correlation system for monitoring of changes induced by RH fluctuations on parchment. In: Proceedings of the IS&T International Symposium on Electronic Imaging: 3D Imaging and Applications, pp 65-1–65-7 (2021).

  11. Castro, Y., et al.: A new method for calibration of the spatial distribution of light positions in free-form RTI acquisitions. In: SPIE Optical Metrology, 2019, Munich, Germany, vol. 11058, p. 38. SPIE, Munich, Germany, June 2019.,

  12. CHI 2021: Cultural heritage imaging. Accessed Jun 2021

  13. Mudge, M., et al.: Image-based empirical information acquisition, scientific reliability, and long-term digital preservation for the natural sciences and cultural heritage. Eurographics (Tutorials) 2(4) (2008)

    Google Scholar 

  14. Earl, G., et al.: Reflectance transformation imaging systems for ancient documentary artefacts. Electron. Vis. Arts (EVA 2011) 147–154 (2011)

    Google Scholar 

  15. Pitard, G., et al.: Discrete modal decomposition: a new approach for the reflectance modeling and rendering of real surfaces. Mach. Vis. Appl. 28 (2017).

  16. Nurit, M., et al.: HD-RTI: An adaptive multi-light imaging approach for the quality assessment of manufactured surfaces. Comput. Ind. 132 (2021).

  17. Saha, S., Foryś, P., Martusewicz, J., Sitnik, R.: Approach to analysis the surface geometry change in cultural heritage objects. In: El Moataz, A., Mammass, D., Mansouri, A., Nouboud, F. (eds.) ICISP 2020. LNCS, vol. 12119, pp. 3–13. Springer, Cham (2020).

    Chapter  Google Scholar 

  18. Saiti, E., Theoharis, T.: An application independent review of multimodal 3D registration methods. Comput. Graph. 91, 153–178 (2020)

    Article  Google Scholar 

  19. Saiti, E., Danelakis, A., Theoharis, T.: Cross-time registration of 3d point clouds. Comput. Graph. 99, 139–152 (2021)

    Article  Google Scholar 

  20. Siatou, A., et al.: Surface appearance assessment as a tool for characterizing silver tarnishing, November 2020.

  21. Sipiran, I., et al.: Shrec 2021: retrieval of cultural heritage objects. Comput. Graph. 100, 1–20 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Amalia Siatou .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Siatou, A., Papanikolaou, A., Saiti, E. (2022). Adaption of Imaging Techniques for Monitoring Cultural Heritage Objects. In: Osman, A., Moropoulou, A. (eds) Advanced Nondestructive and Structural Techniques for Diagnosis, Redesign and Health Monitoring for the Preservation of Cultural Heritage. Springer Proceedings in Materials, vol 16. Springer, Cham.

Download citation

Publish with us

Policies and ethics