Project 3
Title: Multi-criterial Methodologies for the Authentication and the Attribution of Medieval and Pre-Modern Paintings
Partners:
TECHNICAL UNIVERSITY OF CLUJ - NAPOCA - coordinator
"G. OPRESCU" INSTITUTE FOR HISTORY OF ART - P1
BABES BOLYAI UNIVERSITY - P2
NATIONAL INSTITUTE FOR RESEARCH AND DEVELOPEMENT OF ISOTOPIC AND MOLECULAR TECHNOLOGIES INCDTIM - P3
ROMANIAN ACADEMY CLUJ - NAPOCA BRANCH - P4
Project Description:
The objective of the project is to develop a semiautomatic automated multi-criteria authentication method of artworks such as medieval and pre-modern paintings, using a convergent approach multi-criteria analysis tool (the IDArt Platform) in order to determine the degree of similarity between two or more artworks.
Activities:
Stage 1
1.1 The elaboration of the criteria for the historical, artistic, stylistic and iconographic analysis.
1.2 The elaboration of the criteria for the iconographic and theological analysis, as well as the one relevant to the constituting materials of the studied artworks
1.3 Establishing the technical specifications for the database
1.4 Establishing the technical specifications for the software used in the multi-criteria analysis of the medieval and pre-modern paintings
1.5 Protecting the copyright and disseminating the results
Stage 2
2.1 Designing the database architecture
2.2 Elaborating the database
2.3 Introducing a pre-validated set of data to test the database
2.4 Testing and optimizing the database
2.5 Developing the mathematical model for the cross-correlation algorithm of the digital images in order to employ it in the analysis of the medieval and pre-modern paintings
2.6 Developing the mathematical model for the cross-correlation algorithm based on ROI (‘regions of interest’) and analyzing the digital images of the medieval and pre-modern paintings
2.7 Testing the model on independent scientific software platforms
2.8 Protecting the copyright and disseminating the results
Stage 3
3.1 The software implementation of the cross-correlation model based on ROI
3.2 Testing the IDArt platform
3.3 Validating the platform using the second complete set of data (consisting of attributable unsigned artworks)
3.4 Protecting the copyright and disseminating the results
Results
3 studies
7 documentation sheets
1 model
1 database
2 data collections in digital format
1 computer product
1 patent application
3 scientific papers