Since 2009, an interdisciplinary project between computer vision and art history is embedded within the Computer Vision group of Heidelberg University. Jointly, the group carries out art historical research by utilizing computational methods, thereby analyzing data sets of cultural heritage. Among others, the project developed tools to assist with art historical research; so far, different image collections were analyzed, including manuscripts, prints, paintings, architectural images, validating the efficiency of computer-based methods. The following website provides an overview of the projects, relating to object detection, such as legal gestures, form analysis and iconography.

​

The group has held various seminars on the collaboration of art history and computer science as well as organized a summer school in 2015. Information can be found here.

​