The Robot Vision Group performs topic-specific research inside the Institute for Computer Graphics and Vision. Headed by Matthias Rüther, the group consists of several Ph.D. and diploma students. Within the fruitful research environment of ICG, we conduct application-driven projects in Optical Metrology, Photogrammetry, Mobile Robotics and Industrial Robotics. Fruitful cooperations with more than 50 company partners allow us to deliver cutting-edge research results, always with a mindset on practical applicability.
2016/07/15: Accepted to BMVC 2016
Our paper "A Deep Primal-Dual Network for Guided Depth Super-Resolution" has been accepted for oral presentation at the British Machine Vision Conference 2016 held at the University of York, United Kingdom.
2016/07/11: Accepted to ECCV 2016
Our paper "ATGV-Net: Accurate Depth Superresolution" has been accepted at the European Conference on Computer Vision 2016 in Amsterdam, The Netherlands.
2015/10/07: Accepted to ICCV 2015 Workshop: TASK-CV
Our paper "Anatomical landmark detection in medical applications driven by synthetic data" has been accepted at the IEEE International Conference on Computer Vision 2015 workshop on transferring and adapting source knowledge in computer vision.
2015/09/14: Camera calibration code online
The camera calibration toolbox accompanying our paper "Learning Depth Calibration of Time-of-Flight Cameras" is available here.
2015/09/07: Accepted to ICCV 2015
Our papers "Variational Depth Superresolution using Example-Based Edge Representations" and "Conditioned Regression Models for Non-Blind Single Image Super-Resolution" have been accepted at the IEEE International Conference on Computer Vision 2015, December 13-16, Santiago, Chile.
2015/07/03: Accepted to BMVC 2015
Our papers "Depth Restoration via Joint Training of a Global Regression Model and CNNs" and "Learning Depth Calibration of Time-of-Flight Cameras" have been accepted as a poster presentation at the 26th British Machine Vision Conference, September 7-10, Swansea, United Kingdom.
Curious? Have a look at our project pages to find out more!