CS Graduate Seminar | 3D Reconstruction from Densely Sampled Videos

Oct 03 2016 12:00 PM - Oct 03 2016 01:00 PM

​By Professor Hendrik P. A. Lensch (Tübingen University, Germany)

 
Videos consisting of thousands of high resolution frames are challenging for existing structure from motion (SfM) and simultaneous-localization and mapping (SLAM) techniques. We present new approaches for simultaneously computing extrinsic camera poses and 3D scene structure that is capable of handling such large volumes of image data. A further extension is the treatment of deformable camera rigs. The key insight behind this work is to effectively exploit coherence in densely sampled video input both for camera localization as well as for dense 3D surface reconstruction.
 
Biography: Hendrik P. A. Lensch holds the chair for computer graphics at Tübingen University and is the head of the computer science department. He received his diploma in computers science from the University of Erlangen in 1999. He worked as a research associate at the computer graphics group at the Max-Planck-Institut für Informatik in Saarbrücken, Germany, and received his PhD from Saarland University in 2003. Hendrik Lensch spent two years (2004-2006) as a visiting assistant professor at Stanford University, USA, followed by a stay at the MPI Informatik as the head of an independent research group. From 2009 to 2011 he has been a full professor at the Institute for Media Informatics at Ulm University, Germany. In his career, he received the Eurographics Young Researcher Award 2005, was awarded an Emmy-Noether-Fellowship by the German Research Foundation (DFG) in 2007 and received an NVIDIA Professor Partnership Award in 2010. His research interests include 3D appearance acquisition, computational photography, global illumination and image-based rendering, as well as massively parallel programming.
 
More Information:
For more info contact: Prof. Wolfgang Heidrich: email: wolfgang.heidrich@kaust.edu.sa
 
Date: Monday 3rd Oct 2016
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall I Room 2322
Refreshments: Brown-bag lunch will be available at 11:45 am