Graphics, Capture and Massively Parallel Computing

Graphics, Capture and Massively Parallel Computing

The main focus of our research interest is the development of digitization methods for all aspects of the real world. This includes capturing geometry, surface color and several other attributes, e.g. reflectance properties of objects. Most of our methods perform the reconstruction solely on photographs that have been taken under controlled conditions (such as constant lighting and known camera parameters). Our latest developments, however, are capable of dealing with photos taken under uncontrolled conditions, for example images from community photo collections such as flickr.

Beyond that, we are interested in massively parallel computing to exploit the full potential of nowadays graphics hardware to solve computationally expensive problems in various areas, for example visual computing and bio informatics.


  • PhD Defense Fabian Langguth

    Fabian Langguth successfully defended his thesis entitled “Gradient Domain Methods for Image-based Reconstruction and Rendering” on June 4th – congrats!

  • Kindervorlesung am 19.05.2018

    Von Karten und Computerspielen: Wie kommt die Welt in den Computer?


  • PhD Defense Martin Heß

    Martin Heß successfully defended his thesis entitled “Visual Search and Analysis in Molecular Biology” on December 19th – congrats!

Recent Publications

  • Detail-preserving pooling in deep networks

    Faraz Saeedan, Nicolas Weber, Michael Goesele and Stefan Roth

    In: Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018