The latest computer vision techniques have opened new possibilities for researchers, curators, and conservators in the cultural heritage domain. By analysing visual features such as shape, colour, and texture, computer vision supports the digitisation and documentation of cultural heritage objects, the identification and classification of artefacts, and the study of ancient materials. These applications are crucial for developing effective preservation strategies and ensuring the long-term survival of cultural heritage.
Our research focuses on seamlessly integrating cutting-edge 3D reconstruction technologies to preserve cultural artefacts. Drawing on the expertise of our dedicated research teams, we advance techniques that capture and safeguard the intricate details of these rare objects. Using high-resolution imaging and structured light scanning, we create detailed 3D models that ensure their historical significance is preserved. Our ongoing work is also defining novel end-to-end methods for reconstructing artefacts with consumer-grade scanners.
At CCHT, we use advanced imaging techniques to study precious cultural heritage items. We employ hyperspectral imaging together with computer vision to identify historical pigments in frescoes and paintings, detect variations in ancient inks, and digitally restore degraded manuscripts affected by foxing or ink bleeding. We also use THz time-domain imaging to penetrate deeper into cultural objects and reveal hidden elements, such as underlying painting layers or concealed manuscript pages. In addition, we are advancing image processing methods to enhance resolution and remove degradations in THz images, enabling the analysis of different material compositions, such as the patina on ancient coins.