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