Folgen
Daniel Kondermann
Daniel Kondermann
Quality Match GmbH
Bestätigte E-Mail-Adresse bei quality-match.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A dataset and evaluation methodology for depth estimation on 4D light fields
K Honauer, O Johannsen, D Kondermann, B Goldluecke
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
4872017
Horn-schunck optical flow with a multi-scale strategy
E Meinhardt-Llopis, J Sánchez
Image Processing on line, 2013
1602013
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
1412013
Blood vessel classification into arteries and veins in retinal images
C Kondermann, D Kondermann, M Yan
Medical Imaging 2007: Image Processing 6512, 1401-1409, 2007
1282007
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
1102016
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 …, 2013
932013
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
922012
Outdoor stereo camera system for the generation of real-world benchmark data sets
S Meister, B Jähne, D Kondermann
Optical Engineering 51 (2), 021107-021107, 2012
922012
Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images
L Maier-Hein, S Mersmann, D Kondermann, S Bodenstedt, A Sanchez, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
902014
A Statistical Confidence Measure for Optical Flows.
C Kondermann, R Mester, CS Garbe
ECCV (3) 5304, 290-301, 2008
662008
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 …, 2013
502013
Crowdsourcing for reference correspondence generation in endoscopic images
L Maier-Hein, S Mersmann, D Kondermann, C Stock, HG Kenngott, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
482014
Real versus realistically rendered scenes for optical flow evaluation
S Meister, D Kondermann
2011 14th ITG Conference on Electronic Media Technology, 1-6, 2011
482011
An adaptive confidence measure for optical flows based on linear subspace projections
C Kondermann, D Kondermann, B Jähne, C Garbe
Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12 …, 2007
472007
High accuracy tof and stereo sensor fusion at interactive rates
R Nair, F Lenzen, S Meister, H Schäfer, C Garbe, D Kondermann
Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012
442012
Simulation of Time-of-Flight Sensors using Global Illumination.
S Meister, R Nair, D Kondermann
VMV, 33-40, 2013
312013
Stereo ground truth with error bars
D Kondermann, R Nair, S Meister, W Mischler, B Güssefeld, K Honauer, ...
Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015
302015
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, 1201-1212, 2015
282015
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: 15th International …, 2012
272012
Ground truth design principles: an overview
D Kondermann
Proceedings of the International Workshop on Video and Image Ground Truth in …, 2013
262013
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20