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dc.contributor.author Κόκλα, Βασιλική el
dc.contributor.author Ψαρρού, Α. el
dc.contributor.author Κωνσταντίνου, Β. el
dc.contributor.author Αλεξοπούλου - Αγοράνου, Αθηνά el
dc.date.accessioned 2015-01-26T11:13:47Z
dc.date.available 2015-01-26T11:13:47Z
dc.date.issued 2015-01-26
dc.identifier.uri http://hdl.handle.net/11400/4760
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.source http://b2.cvl.iis.u-tokyo.ac.jp/mva/proceedings/CommemorativeDVD/2000/papers/2000164.pdf el
dc.subject Works of art
dc.subject Chemical components
dc.subject Computing analysis
dc.subject Ανάλυση μέσω υπολογιστή
dc.subject Χημικά συστατικά
dc.title Computational Analysis and Conservation of Works of Art en
heal.type book
heal.classification Atrs
heal.classification Visual Arts
heal.classification Τέχνες
heal.classification Παραστατικές τέχνες
heal.classificationURI http://id.loc.gov/authorities/subjects/sh85008324.html
heal.classificationURI http://skos.um.es/unescothes/C04255
heal.classificationURI **N/A**-Τέχνες
heal.classificationURI **N/A**-Παραστατικές τέχνες
heal.identifier.secondary 901122-00-2
heal.language en
heal.access free
heal.recordProvider Σχολή Καλλιτεχνικών Σπουδών. Τμήμα Συντήρησης Αρχαιοτήτων και Έργων Τέχνης. el
heal.publicationDate 2000-11-28
heal.bibliographicCitation Kokla V., Psarou A., Konstandinou V., & Alexopoulou A., (2000) Computational Analysis and Conservation of Works of Art. in "Proceedings MVA2000: IAPR Workshop on Machine Vision Applications". November 28-30, 2000, The University of Tokyo, Japan en
heal.abstract Scholars in the areas of conservation of art are in need of scientific information that can be reliably used in the his¬torical examination of works of art. Most existing meth¬ods for the analysis of the material used in works of art are based on destructive testing techniques that require the physical sampling of data. However, such methods can¬not be used widely due to their destructive nature and the historical value of the artifacts. Non-destructive techniques such as refiectography are more suited to the study and con¬servation of works of art. Computer vision techniques can complement such diagnostic methods by computing models and interpreting the visual properties of the material used. The main objective of this work is the application of ma¬chine vision techniques for the non-destructive examination and conservation of works of art based on the modelling and analysis of the colouring present. In this paper we con¬centrate on the visual modelling of medieval inks used in scripting of manuscripts. Such models can then be used in the analysis and conservation of unknown writing inks found in manuscripts therefore eliminating the use of any destructive techniques. en
heal.publisher The Univercity of Japan en
heal.fullTextAvailability true


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες