Virtual recomposition of frescos: separating fragments from the background (Contributo in atti di convegno)

Type
Label
  • Virtual recomposition of frescos: separating fragments from the background (Contributo in atti di convegno) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ICPR.2004.1333898 (literal)
Alternative label
  • Renna F., Carlomagno G., Mosca N., Attolico G., Distante A. (2004)
    Virtual recomposition of frescos: separating fragments from the background
    in ICPR 2004. Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, England, August 2004
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Renna F., Carlomagno G., Mosca N., Attolico G., Distante A. (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopus (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Consiglio Nazionale delle Ricerche - Istituto di Studi sui Sistemi Intelligenti per l'Automazione (literal)
Titolo
  • Virtual recomposition of frescos: separating fragments from the background (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 0-7695-2128-2 (literal)
Abstract
  • The paper addresses the segmentation of fragments from the background using a clustering approach in the color space. The problem is involved in the on-going development of a digital system for the virtual aided recomposition of fragmented frescos, an innovative approach currently being proved on the S. Matthew's fresco, made by Cimabue for the Upper Church of S. Francis in Assisi and broken, during the earthquake in 1997, into more than 140,000 pieces. The developed technique has been used to build the fragments' database. The segmentation process is based on the fast global k-means algorithm. Experiments show that separation of foreground and background on a so large number of images is much more manageable and effective using prototypes built by the clustering algorithm. (literal)
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