Publicaties
Assisting classical paintings restoration : efficient paint loss detection and descriptor-based inpainting using shared pretraining Universiteit Gent
In the restoration process of classical paintings, one of the tasks is to map paint loss for documentation and analysing purposes. Because this is such a sizable and tedious job automatic techniques are highly on demand. The currently available tools allow only rough mapping of the paint loss areas while still requiring considerable manual work. We develop here a learning method for paint loss detection that makes use of multimodal image ...
Jan van Eycks optische Revolution Universiteit Gent
Van Eyck in detail Universiteit Gent
Introduction Universiteit Gent
Inleiding Universiteit Gent
Jan van Eycks optische revolutie Universiteit Gent
Het Lam Gods in detail Universiteit Gent
Epilogue : implications and perspectives Universiteit Gent
Crack detection in paintings using convolutional neural networks Universiteit Gent
The accurate detection of cracks in paintings, which generally portray rich and varying content, is a challenging task. Traditional crack detection methods are often lacking on recent acquisitions of paintings as they are poorly adapted to high-resolutions and do not make use of the other imaging modalities often at hand. Furthermore, many paintings portray a complex or cluttered composition, significantly complicating a precise detection of ...