Daniel Kondermann
Daniel Kondermann
Heidelberg Collaboratory for Image Processing, University of Heidelberg
Verified email at iwr.uni-heidelberg.de - Homepage
TitleCited byYear
A dataset and evaluation methodology for depth estimation on 4d light fields
K Honauer, O Johannsen, D Kondermann, B Goldluecke
Asian Conference on Computer Vision, 19-34, 2016
1082016
Blood vessel classification into arteries and veins in retinal images
C Kondermann, D Kondermann, M Yan
Medical Imaging 2007: Image Processing 6512, 651247, 2007
962007
Horn-schunck optical flow with a multi-scale strategy
E Meinhardt-Llopis, JS Pérez, D Kondermann
Image Processing on line 2013, 151-172, 2013
952013
Ensemble learning for confidence measures in stereo vision
R Haeusler, R Nair, D Kondermann
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
892013
When can we use kinectfusion for ground truth acquisition
S Meister, S Izadi, P Kohli, M Hämmerle, C Rother, D Kondermann
Proc. Workshop on Color-Depth Camera Fusion in Robotics 2, 3, 2012
722012
Outdoor stereo camera system for the generation of real-world benchmark data sets
S Meister, B Jaehne, D Kondermann
Optical Engineering 51 (2), 021107, 2012
682012
Can masses of non-experts train highly accurate image classifiers?
L Maier-Hein, S Mersmann, D Kondermann, S Bodenstedt, A Sanchez, ...
International conference on medical image computing and computer-assisted …, 2014
612014
Can masses of non-experts train highly accurate image classifiers?
L Maier-Hein, S Mersmann, D Kondermann, S Bodenstedt, A Sanchez, ...
International conference on medical image computing and computer-assisted …, 2014
612014
A statistical confidence measure for optical flows
C Kondermann, R Mester, C Garbe
European Conference on Computer Vision, 290-301, 2008
512008
A survey on time-of-flight stereo fusion
R Nair, K Ruhl, F Lenzen, S Meister, H Schäfer, CS Garbe, M Eisemann, ...
Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 105-127, 2013
462013
Real versus realistically rendered scenes for optical flow evaluation
S Meister, D Kondermann
2011 14th ITG Conference on Electronic Media Technology, 1-6, 2011
382011
Crowdsourcing for reference correspondence generation in endoscopic images
L Maier-Hein, S Mersmann, D Kondermann, C Stock, HG Kenngott, ...
International conference on medical image computing and computer-assisted …, 2014
362014
An adaptive confidence measure for optical flows based on linear subspace projections
C Kondermann, D Kondermann, B Jähne, C Garbe
Joint Pattern Recognition Symposium, 132-141, 2007
362007
A state of the art report on kinect sensor setups in computer vision
K Berger, S Meister, R Nair, D Kondermann
Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 257-272, 2013
332013
High accuracy tof and stereo sensor fusion at interactive rates
R Nair, F Lenzen, S Meister, H Schäfer, C Garbe, D Kondermann
European Conference on Computer Vision, 1-11, 2012
312012
The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driving
D Kondermann, R Nair, K Honauer, K Krispin, J Andrulis, A Brock, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
212016
Stereo ground truth with error bars
D Kondermann, R Nair, S Meister, W Mischler, B Güssefeld, K Honauer, ...
Asian conference on computer vision, 595-610, 2014
212014
Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences
L Maier-Hein, D Kondermann, T Roß, S Mersmann, E Heim, S Bodenstedt, ...
International journal of computer assisted radiology and surgery 10 (8 …, 2015
202015
On performance analysis of optical flow algorithms
D Kondermann, S Abraham, G Brostow, W Förstner, S Gehrig, A Imiya, ...
Outdoor and Large-Scale Real-World Scene Analysis, 329-355, 2012
202012
Simulation of time-of-flight sensors using global illumination
S Meister, R Nair, D Kondermann
The Eurographics Association, 2013
182013
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Articles 1–20