Skip to main content

A Geographical Virtual Laboratory for the Recomposition of Fragments

  • Conference paper
Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Abstract

The paper describes a digital system for the virtual aided recomposition of fragmented frescos whose approach allows knowledge and experience of restorers to cooperate with computational power and flexibility of digital tools for image analysis and retrieval. The physical laboratory for the traditional recomposition is replaced by a geographically distributed client-server architecture implementing a virtual laboratory of fragments. Image processing and analysis techniques support the whole recomposition task. A properly designed engine for image indexing and retrieval enables the retrieval of fragments similar to suitably chosen sample images.

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

Access this chapter

Institutional subscriptions

Similar content being viewed by others

References

  1. Mosca, N., Attolico, G., Distante, A.: A digital system for aided virtual recomposition of fragmented frescos, http://www.icr.beniculturali.it/Strumenti/Documenti/Utopiareal3e.pdf

  2. Renna, F., Carlomagno, G., Mosca, N., Attolico, G., Distante, A.: Virtual Recomposition of Frescos: Separating Fragments from the Background. In: IEEE ICPR 2004, Cambridge, UK, pp. 819–822 (2004)

    Google Scholar 

  3. Renna, F., Carlomagno, G., Mosca, N., Attolico, G., Distante, A.: Color Correction for the Virtual Recomposition of Fragmented Frescos. In: IEEE ICPR 2004, Cambridge, UK (2004)

    Google Scholar 

  4. Renna, F., Mosca, N., Carlomagno, G., Attolico, G., Distante, A.: A System for Aided Recomposition of Golden Images. In: Mirage 2005, INRIA Rocquencourt, France (2005)

    Google Scholar 

  5. http://www.issia.cnr.it/htdocs%20nuovo/progetti/bari/restauro.html

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mosca, N., Renna, F., Carlomagno, G., Attolico, G., Distante, A. (2005). A Geographical Virtual Laboratory for the Recomposition of Fragments. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_116

Download citation

  • DOI: https://doi.org/10.1007/11504894_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics