(Faculty of Computer and Information Science, University of Ljubljana, Slovenia)

New sensors and methods for recovering the 3D shape of cultural heritage can generate huge amounts of 3D data, mostly as clouds of 3D points covered by photographic texture.
Such data can partially replace classic forms of documentation in cultural heritage. But in this moment in time, 3D data demonstrates its usability primarily for presentation and visualisation of cultural heritage. This is a very important and worthy goal for promotion of cultural heritage first and foremost for the general public.
But how can all this digital heritage trend be used by professionals, such as archeologists and art historians, to facilitate their principal job of interpretation and understanding of cultural heritage?
Computer vision, as a part of artificial intelligence, offers many useful tools and methods for analysis of visual information. In my presentation I will illustrate how some of those tools can help in the analysis of cultural artefacts in the context of underwater archeology and preservation of water-logged wood. At the end I would like to foresee what will be the challenges when the cultural heritage domain fully enters the big data era.