7th IP4AI meeting: Computational approaches for technical imaging in cultural heritage. The conference is being held in London and at the National Gallery in the hope of encouraging international attendance from both academic researchers and professionals working in cultural heritage organisations.
Given the rapidly changing global COVID-19 situation , the conference will now take place on 8-9 April 2021.
As a result, the deadline for the submission of abstracts is postponed to 30 September 2020.
For more information, please visit the conference website
For those who have already submitted an abstract the organizers are happy to consider these along with the other submission or if you would like to take the addition time now available to update or revise your abstract you are very welcome to do so.
With the increasing use of a range of advanced technical imaging and spectroscopic imaging in the study and preservation of artworks and other cultural heritage artefacts, there is growing interest in and need for computational approaches to fully realise the potential in the data acquired and be able to address research questions in a variety of disciplines. This is a rapidly growing field of research that is only possible through cross-disciplinary collaboration.
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, computational image processing, machine learning, 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.
The conference is being held in London and at the National Gallery in the hope of encouraging international attendance from both academic researchers and professionals working in cultural heritage organisations.
The 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) and builds on the success of the Image processing for art investigation (IP4AI) workshops, first established in 2007. The aim of IP4AI is to support art scholarship with new computational tools that enable new findings.
The conference programme is still being developed but the two-day event will include a mix of invited speakers and presentations and posters selected based on an open call for papers. It is also hoped to include some demonstrations of software or algorithms that have been developed for use in this area.
Call for papers
The organizers 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. Topics for contributions might include:
- Advances in the application of technical imaging and spectroscopic imaging techniques (including MA-XRF, reflectance imaging spectroscopy, ATR-FTIR imaging, SEM-EDX, OCT imaging etc) in cultural heritage
- Multi-modal image and signal processing and combined use of spectroscopic imaging techniques
- Data deconvolution and image separation
- Registration, mosaicking and fusion of images and datacubes
- Approaches to data visualisation
- Image recognition
- 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 cultural heritage applications
- Case studies in conservation, art and archaeology (particularly those employing multiple analytical methods or novel computational approaches)
Submission of papers
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.
Please send the abstracts by e-mail to email@example.com