Machine Learning in the Eyes of a Painting Conservator Publisher: IEEE
As a conservator specializing in paintings, I first got in contact with machine (deep) learning in 2015, when I was working as part of a team of conservators from the Royal Institute for Cultural Heritage (KIK-IRPA) restoring the Ghent Altarpiece (1426) by the van Eyck brothers.
Related Articles
Image Processing Perspectives of X-Ray Fluorescence Data in Cultural Heritage Sciences
X-ray fluorescence (XRF) analysis of art objects has rapidly gained popularity since the late 2000s due to its increased accessibility to scientists. This in...
Revealing and Reconstructing Hidden or Lost Features in Art Investigation
In recent decades, cultural heritage research—and in particular art investigation—has been undergoing a digital revolution. This is due both to improvements ...
Information Processing Challenges at the National Archives
The National Archives, U.K., faces a number of information processing challenges relating to the volume, variety and velocity of the data it handles, as well as its need to ensure value and veracity. This feature highlights some of these challenges as well as some of the work it is undertaking to address them.