Rudolf Mester
Rudolf Mester
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Statistical model-based change detection in moving video
T Aach, A Kaup, R Mester
Signal processing 31 (2), 165-180, 1993
Free space computation using stochastic occupancy grids and dynamic programming
H Badino, U Franke, R Mester
Workshop on Dynamical Vision, ICCV, Rio de Janeiro, Brazil 20, 73, 2007
Deepprivacy: A generative adversarial network for face anonymization
H Hukkelås, R Mester, F Lindseth
International symposium on visual computing, 565-578, 2019
Lost and found: detecting small road hazards for self-driving vehicles
P Pinggera, S Ramos, S Gehrig, U Franke, C Rother, R Mester
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
The role of total least squares in motion analysis
M Mühlich, R Mester
Computer Vision—ECCV’98: 5th European Conference on Computer Vision …, 1998
Robust stereo visual odometry from monocular techniques
M Persson, T Piccini, M Felsberg, R Mester
2015 IEEE Intelligent Vehicles Symposium (IV), 686-691, 2015
Illumination-invariant change detection using a statistical colinearity criterion
R Mester, T Aach, L Dümbgen
Pattern Recognition: 23rd DAGM Symposium Munich, Germany, September 12–14 …, 2001
A statistical confidence measure for optical flows
C Kondermann, R Mester, C Garbe
Computer Vision ECCV 2008, 290-301, 2008
On texture analysis: Local energy transforms versus quadrature filters
T Aach, A Kaup, R Mester
Signal processing 45 (2), 173-181, 1995
Subspace methods and equilibration in computer vision
M Mühlich, R Mester
Scandinavian Conference on Image Analysis, 415-422, 2001
Illumination-robust dense optical flow using census signatures
T Müller, C Rabe, J Rannacher, U Franke, R Mester
Joint Pattern Recognition Symposium, 236-245, 2011
Mono-sf: Multi-view geometry meets single-view depth for monocular scene flow estimation of dynamic traffic scenes
F Brickwedde, S Abraham, R Mester
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Change detection in image sequences using Gibbs random fields: a Bayesian approach
T Aach, A Kaup, R Mester
Proc. Int. Workshop on Intelligent Signal Processing and Communication …, 1993
Sdnet: Semantically guided depth estimation network
M Ochs, A Kretz, R Mester
Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019
Know your limits: Accuracy of long range stereoscopic object measurements in practice
P Pinggera, D Pfeiffer, U Franke, R Mester
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
Contour-relaxed superpixels
C Conrad, M Mertz, R Mester
Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th …, 2013
Bayesian illumination-invariant motion detection
T Aach, L Dümbgen, R Mester, D Toth
Image Processing, 2001. Proceedings. 2001 International Conference on 3, 640 …, 2001
Robust displacement vector estimation including a statistical error analysis
R Mester, M Hotter
IET Digital Library, 1995
Stereo-based free space computation in complex traffic scenarios
H Badino, R Mester, T Vaudrey, U Franke, AG Daimler
2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 189-192, 2008
Spectral entropy-activity classification in adaptive transform coding
R Mester, U Franke
IEEE Journal on Selected Areas in Communications 10 (5), 913-917, 1992
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