Publications
Export 39 results:
Author Title Type [ Year
Filters: Author is Daniel Kondermann [Clear All Filters]
An adaptive confidence measure for optical flows based on linear subspace projections. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 4713 132--141
(2007). Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation. 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept
(2007). Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation. Exp. Fluids. 45 583--593
(2008). On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008. IEEE. 1--6
(2008). On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. 1-6
Technical Report (1.58 MB)
(2008). 
Motion Estimation Based on a Temporal Model of Fluid Flows. 13th International Symposium on Flow Visualization. 1-10
(2008). Postprocessing of optical flows via surface measures and motion inpainting. Pattern Recognition. 5096 355--364
(2008). Modular Optical Flow Estimation with Applications to Fluid Dynamics. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/10184
(2009). Spatiotemporal image analysis for flow measurements. Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009. Springer. 106 289--305
(2009). The wall PIV measurement technique for near wall flow fields in biofliud mechanics. Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009. Springer. 106 11--20
(2009). (2010).
Alles im Fluss --- Optischer Fluss für industrielle Anwendungen. http://www.gitverlag.com/de/print/4/18/issues/2009/3381.html
(2011). High Precision TOF-guided Depth from Stereo for Room Scanning. CVMP, Proceedings
(2011). Ground truth for evaluating time of flight imaging. Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Springer. 8200 52--74
(2012). High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates. submitted to ECCV 2012. Springer. 7584 1-11
(2012). High accuracy TOF and stereo sensor fusion at interactive rates. Computer Vision--ECCV 2012. Workshops and Demonstrations. Springer Berlin Heidelberg. 1--11
Technical Report (7.29 MB)
(2012). 
Outdoor stereo camera system for the generation of real-world benchmark data sets. Opt. Eng. 51 021107
(2012). Outdoor Stereo Camera System for the Generation of Real-World Benchmark
Data Sets. Optical Engineering. 51 021107-1
(2012). On Performance Analysis of Optical Flow Algorithms. Outdoor and Large-Scale Real-Worls Scene Analysis, Dagstuhl-Workshop
2011. Springer. LNCS 329-355
(2012). When Can We Use KinectFusion for Ground Truth Acquisition?. Workshop on Color-Depth Camera Fusion in Robotics, IEEE International
Conference on Intelligent Robots and Systems
(2012). Ensemble Learning for Confidence Measures in Stereo Vision. CVPR 2013, in press. 305-312
(2013). How Good is Crowdsourcing for Optical Flow Ground Truth Generation?. submitted to CVPR
(2013). Movie Dimensionalization Via Sparse User Annotations. submitted to ICCV
(2013). Movie Dimensionalization Via Sparse User Annotations. submitted to 3DTV-Con
(2013). Simulation of Time-of-Flight Sensors using Global Illumination. Vision, Modeling and Visualization (VMV), 2013 International Workshop
on. Proceedings. 33-40
(2013). A State of the Art Report on Kinect Sensor Setups in Computer Vision. Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Springer. 8200 257-272
(2013). A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications. Springer. 8200 105-127
Technical Report (6.05 MB)
(2013). 
A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight Imaging: Algorithms, Sensors and Applications. Springer. 8022 105-127
(2013). When is a confidence measure good enough?. submitted to CVPR 2013
(2013). Are reflectance field renderings appropriate for optical flow evaluation?. International Conference on Image Processing, ICIP 2014
(2014). (2014). (2014). Stereo ground truth with error bars. Asian Conference on Computer Vision, ACCV 2014
(2014). Time of flight motion compensation revisited. International Conference on Image Processing, ICIP 2014
(2014). The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms. The IEEE International Conference on Computer Vision (ICCV)
(2015).