Charla: 3D Shape Restoration – Introduction, Applications in Archaeology, and Ideas for Future Work

Tobias Schreck, Professor , Graz University of Technology, Austria
9 Marzo, 2017 - 14:00
Ada Lovelace 306, Edificio Poniente, DCC
Prof. Benjamín Bustos

Tobias Schreck holds a Professor position with the Institute for Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. Between 2011 and 2015, he was an Assistant Professor with the Data Analysis and Visualization Group at University of Konstanz, Germany. Between 2007 and 2011 he was a Postdoc researcher and head of a junior research group on Visual Search and Analysis with Technische Universität Darmstadt, Germany. Tobias Schreck obtained a PhD in Computer Science in 2006, and a Master of Science degree in Information Engineering in 2002, both from the University of Konstanz. He works in the areas of Visual Analytics, 3D Object Retrieval, and Digital Libraries. His research interests include visual search and analysis in time-oriented, high-dimensional and 3D object data, with applications in data analysis, multimedia retrieval and cultural heritage. He serves as a paper co-chair for the IEEE VIS Conference on Visual Analytics Science and Technology (VAST) in 2017. He previously has served as co-chair for Posters, Workshops and Panels for IEEE VIS, as well as a co-organizer for the EuroGraphics Workshop on 3D Object Retrieval.



Technologies for the digitization of 3D shape are advancing and promise many new application possibilities. For example, in Archaeology, an increased availability of 3D digitization technology allows to speed up the virtual and physical restoration of original artifact shapes from incomplete, eroded or fragmented input data. In this talk we introduce the 3D shape restoration problem, and overview a shape restoration workflow and system implementation as developed within the EU FP7 project PRESIOUS. Based on these previous works, in a second part of the presentation we discuss ideas for future work in shape restoration, including semantic sketching and multi-modal shape association.