Technical Visualizations of Easel Painting. Integration of Imaging Techniques and Textual Repertories

Authors

  • Magdelena Stoyanova Ca’ Foscari University, Centro Interdisciplinare di Studi Balcanici ed Internazionali, Venice, Italy
  • Detelin Luchev Institute of Mathematics and Informatics, Bulgarian Academy of Sciences
  • Lilia Pavlova Laboratory of Telematics, Bulgarian Academy of Sciences
  • Irina Provorova State Research Institute for Restoration, Moscow, Russia

DOI:

https://doi.org/10.55630/dipp.2015.5.29

Keywords:

Data Repositories, Imaging Techniques, ICT, Easel-Icon Painting

Abstract

Technical visualizations (TV) of easel painting, both partial or extended, are typically concerned with prospecting its structure, technique, material composition and eventual posterior interventions in order to facilitate the mapping of its characteristics being identical to those of other similar objects. For both types the main challenge is being able to integrate and compare the significant increase in the quantity and quality of image-based data resulting from rapid technological advancement in recent years. Their second critical component matches the algorithm of logical processes that, in principle, should be followed by analysis of a specific artistic technique on a unique artefact. The third crucial point is the translation of interdisciplinary to schematic or imagebased data and the standardization of dictionaries used to enable their sharing. TVs are functional to the understanding of complex cases and, although the reliability of their issues is not absolute but only a nulla osta, they represent an important step towards the drastic reduction of errors produced by discontinued, fragmentary experiments in dating and authentication of easel painting.

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Published

2015-09-30

How to Cite

Stoyanova, M., Luchev, D., Pavlova, L., & Provorova, I. (2015). Technical Visualizations of Easel Painting. Integration of Imaging Techniques and Textual Repertories. Digital Presentation and Preservation of Cultural and Scientific Heritage, 5, 321–330. https://doi.org/10.55630/dipp.2015.5.29

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