Computational Analysis and Conservation of Works of Art

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