Andreas Kolb is head of the Computer Graphics and Multimedia Systems Group at the University of Siegen since 2003. His research interests are sensor data processing including scene reconstruction, sensor simulation, and image analysis. He received his PhD at the University of Erlangen. He is member of ACM/SIGGRAPH (since 2002) and Eurographics Association (since 2001). From 10/2009 until 09/2018 he was the spokesman of the Research Training Group 1564 "Imaging New Modalities", funded by the German Research Foundation (DFG). Since 11/2019, he is DFG Liaison Officer for the University of Siegen. Currently, he is Vice spokesperson of the Centre for Sensor Systems (ZESS) at the University of Siegen.

Interactive, high quality scene reconstruction using RGB-D cameras

The advent of affordable consumer grade RGB‐D cameras has brought about a profound advancement of visual scene reconstruction methods. Both computer graphics and computer vision researchers spend significant effort to develop entirely new algorithms to capture comprehensive shape and appearance of models. Still, there is no overall optimum regarding performance along relevant dimensions, being it high reconstruction quality or real‐time performance on commodity hardware. The first part of this talk will give an overview of fundamental approaches, data structures and techniques applied in the field of interactive scene reconstruction and common challenges under research in this field. In the second part new trends in approaching the challenges of interactive scene reconstruction are discussed.