IPERION HSIntegrating Platforms for the European Research Infrastructure ON Heritage Science
Providig a forum to bring together a multi-disciplinary group of researchers

The virtual conference is being organised as part of the EPSRC-funded ARTICT | Art Through the ICT Lens: Big Data Processing Tools to Support the Technical Study, Preservation and Conservation of Old Master Paintings project (a collaboration between the National Gallery, University College London and Imperial College London)
DATE: 27–29th April 2022, 2–5 pm BST (UTC+01:00)

The aim of this conference is to provide a forum to bring together a multi-disciplinary group of researchers including:

  • scientists and conservators working with various forms of technical imaging or spectroscopic imaging on paintings and other cultural heritage artefacts in museums, galleries and universities
  • researchers working in computer science, data science, computational image processing, computer vision, machine learning and AI, mathematics, and statistics
  • art historians, archaeologists and curators with an interest in the possibilities of technical imaging and/or those working in the digital humanities

to share their research and find fertile areas of collaboration and common inquiry.

Call for papers

We invite papers featuring both cutting-edge research based on applying computational approaches for technical imaging in cultural heritage and more preliminary research highlighting open problems and challenges in this rapidly evolving field. While the ARTICT project has focused on Old Master Paintings, the application of these approaches to other types of objects or materials, including archaeological or text-based artefacts are welcome. Topics for contributions might include but are not limited to:

  • Advances in the application of technical imaging and spectroscopic imaging techniques (including MA-XRF, reflectance imaging spectroscopy (multi- or hyperspectral imaging), ATR-FTIR imaging, SEM-EDX, OCT imaging, tomography etc.) in cultural heritage
  • Multi-modal image and signal processing and combined use of spectroscopic imaging techniques
  • Computational imaging
  • Data deconvolution and/or image separation
  • Registration, mosaicking and fusion of images and datacubes
  • Approaches to data visualisation and presentation
  • Image recognition and image-based searching/comparison
  • Statistical and multivariate approaches to data analysis, interpretation and visualisation
  • Machine learning, deep learning and AI approaches to data analysis, interpretation and visualisation
  • Novel algorithms, computational tools and software for a variety of cultural heritage, conservation and curatorial applications
  • Case studies in conservation, art and archaeology (particularly those employing multiple analytical methods or novel computational approaches)

Submission of papers: Deadline: 22 March 2022

Please submit an abstract of up to 500 words (approx. 1 page). Abstracts should include a clear title, full list of authors and their affiliations and a brief summary of the work, with a few key references if needed. Please indicate if an oral or poster presentation would be preferred. Submissions will be reviewed by the Scientific Committee and Local Organising Committee and given a decision on placement within the conference promptly.

Please send the abstracts by e-mail to artict@ng-london.org.uk

There will not be published proceedings from this event but extended abstracts for papers that are presented can be made available online after the conference.

For further information and registration please, visit the website conference