Rudolf Mester - RankMe

153 papers A* 6A 8B 17C 11Misc 4Journal 30Unranked 73

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differential pose optimization in descriptor space - Combining Geometric and Photometric Methods for Motion Estimation. CoRR Andreas Langeland Teigen, Annette Stahl, Rudolf Mester
2025	—	`conf`	A Multi-Purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments. ICCVW Espen Uri Høgstedt, Christian Schellewald, Annette Stahl, Rudolf Mester
2025	J	`jnl`	A Multi-purpose Tracking Framework for Salmon Welfare Monitoring in Challenging Environments. CoRR Espen Uri Høgstedt, Christian Schellewald, Annette Stahl, Rudolf Mester
2025	J	`jnl`	Motion Constrained Point Cloud Matching for Maritime Tracking. IEEE Access Nicholas Dalhaug, Martin Baerveldt, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Annette Stahl, Rudolf Mester, Edmund Førland Brekke
2025	C	`conf`	Near-Shore Mapping for Detection and Tracking of Vessels. FUSION Nicholas Dalhaug, Annette Stahl, Rudolf Mester, Edmund Førland Brekke
2025	J	`jnl`	Near-Shore Mapping for Detection and Tracking of Vessels. CoRR Nicholas Dalhaug, Annette Stahl, Rudolf Mester, Edmund Førland Brekke
2025	C	`conf`	Stixel-Based Free Space Estimation for USVs Using Stereo Camera and LiDAR. FUSION Johannes Robert Skarø, Trym Anthonsen Nygård, Rudolf Mester, Annette Stahl, Edmund Førland Brekke
2025	A*	`conf`	Visual Lidar Recursive Online Tracker (ViLiROT) for Autonomous Surface Vessels. ICRA Henrik Hilmarsen, Nicholas Dalhaug, Trym Anthonsen Nygård, Edmund Førland Brekke, Annette Stahl, Rudolf Mester
2024	C	`conf`	A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking. FUSION Michael Ernesto López, Kjetil Vasstein, Edmund Brekke, Rudolf Mester, Annette Stahl
2024	C	`conf`	Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. FUSION Nicholas Dalhaug, Annette Stahl, Rudolf Mester, Edmund Førland Brekke
2024	C	`conf`	FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. FUSION Jon Torgeir Grini, Rudolf Mester, Trym Anthonsen Nygård, Nicholas Dalhaug, Edmund Førland Brekke, Annette Stahl
2024	C	`conf`	Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar. FUSION Henrik Hilmarsen, Nicholas Dalhaug, Trym Anthonsen Nygård, Edmund Førland Brekke, Rudolf Mester, Annette Stahl
2024	A	`conf`	RGB-D Mapping and Tracking in a Plenoxel Radiance Field. WACV Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester
2024	—	`conf`	Removing Adverse Volumetric Effects from Trained Neural Radiance Fields. ISVC (1) Andreas Langeland Teigen, Mauhing Yip, Victor P. Hamran, Vegard Skui, Annette Stahl, Rudolf Mester
2023	C	`conf`	Maritime radar odometry inspired by visual odometry. FUSION Henrik D. Flemmen, Rudolf Mester, Annette Stahl, Torleiv H. Bryne, Edmund Førland Brekke
2023	C	`conf`	Multiscan Shape Estimation for Extended Object Tracking. FUSION Michael Ernesto López, Edmund Brekke, Rudolf Mester, Annette Stahl
2023	J	`jnl`	RGB-D Mapping and Tracking in a Plenoxel Radiance Field. CoRR Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester
2023	A	`conf`	Realistic Full-Body Anonymization with Surface-Guided GANs. WACV Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth
2023	J	`jnl`	Removing Adverse Volumetric Effects From Trained Neural Radiance Fields. CoRR Andreas Langeland Teigen, Mauhing Yip, Victor P. Hamran, Vegard Skui, Annette Stahl, Rudolf Mester
2022	—	`conf`	Detecting and Suppressing Marine Snow for Underwater Visual SLAM. CVPR Workshops Lars Martin Hodne, Eirik Leikvoll, Mauhing Yip, Andreas Langeland Teigen, Annette Stahl, Rudolf Mester
2022	J	`jnl`	Geolocation estimation of target vehicles using image processing and geometric computation. CoRR Elnaz Namazi, Rudolf Mester, Chaoru Lu, Jingyue Li
2022	J	`jnl`	Geolocation estimation of target vehicles using image processing and geometric computation. Neurocomputing Elnaz Namazi, Rudolf Mester, Chaoru Lu, Jingyue Li
2022	A*	`conf`	HD Ground - A Database for Ground Texture Based Localization. ICRA Jan Fabian Schmid, Stephan F. Simon, Raaghav Radhakrishnan, Simone Frintrop, Rudolf Mester
2022	J	`jnl`	Realistic Full-Body Anonymization with Surface-Guided GANs. CoRR Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth
2021	J	`jnl`	Model-Based Parameter Optimization for Ground Texture Based Localization Methods. CoRR Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2021	—	`conf`	The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCVW Peder Georg Olofsson Zwilgmeyer, Mauhing Yip, Andreas Langeland Teigen, Rudolf Mester, Annette Stahl
2021	C	`conf`	Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. IV Henry Bradler, Adrian Kretz, Rudolf Mester
2021	J	`jnl`	Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. CoRR Henry Bradler, Adrian Kretz, Rudolf Mester
2020	—	`conf`	A Shared Representation for Object Tracking and Classification using Siamese Networks. SSIAI Adrian Kretz, Rudolf Mester
2020	J	`jnl`	Features for Ground Texture Based Localization - A Survey. CoRR Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2020	A*	`conf`	Ground Texture Based Localization Using Compact Binary Descriptors. ICRA Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2020	J	`jnl`	Ground Texture Based Localization Using Compact Binary Descriptors. CoRR Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2020	A	`conf`	Ground Texture Based Localization: Do We Need to Detect Keypoints? IROS Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2020	Misc	`conf`	Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems. HAIS Elnaz Namazi, Jingyue Li, Rudolf Mester, Chaoru Lu
2020	—	`conf`	Image Inpainting with Learnable Feature Imputation. GCPR Håkon Hukkelås, Frank Lindseth, Rudolf Mester
2020	J	`jnl`	Image Inpainting with Learnable Feature Imputation. CoRR Håkon Hukkelås, Frank Lindseth, Rudolf Mester
2019	—	`conf`	DeepPrivacy: A Generative Adversarial Network for Face Anonymization. ISVC (1) Håkon Hukkelås, Rudolf Mester, Frank Lindseth
2019	J	`jnl`	DeepPrivacy: A Generative Adversarial Network for Face Anonymization. CoRR Håkon Hukkelås, Rudolf Mester, Frank Lindseth
2019	—	`conf`	DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops Robin Kreuzig, Matthias Ochs, Rudolf Mester
2019	—	`conf`	DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops Robin Kreuzig, Matthias Ochs, Rudolf Mester
2019	J	`jnl`	DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network. CoRR Robin Kreuzig, Matthias Ochs, Rudolf Mester
2019	—	`conf`	Fast Alignment of Limited Angle Tomograms by projected Cross Correlation. EUSIPCO Ricardo M. Sánchez, Rudolf Mester, Mikhail Kudryashev
2019	—	`conf`	Fast Cross Correlation for Limited Angle Tomographic Data. SCIA Ricardo M. Sánchez, Rudolf Mester, Mikhail Kudryashev
2019	A	`conf`	Features for Ground Texture Based Localization - A Survey. BMVC Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester
2019	A*	`conf`	Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. ICCV Fabian Brickwedde, Steffen Abraham, Rudolf Mester
2019	J	`jnl`	Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. CoRR Fabian Brickwedde, Steffen Abraham, Rudolf Mester
2019	J	`jnl`	Mono-Stixels: Monocular depth reconstruction of dynamic street scenes. CoRR Fabian Brickwedde, Steffen Abraham, Rudolf Mester
2019	—	`conf`	SDNet: Semantically Guided Depth Estimation Network. GCPR Matthias Ochs, Adrian Kretz, Rudolf Mester
2019	J	`jnl`	SDNet: Semantically Guided Depth Estimation Network. CoRR Matthias Ochs, Adrian Kretz, Rudolf Mester
2019	—	`conf`	Simulated autonomous driving in a realistic driving environment using deep reinforcement learning and a deterministic finite state machine. APPIS Patrick Klose, Rudolf Mester
2018	B	`conf`	CNN-based multi-frame IMO detection from a monocular camera. Intelligent Vehicles Symposium Nolang Fanani, Matthias Ochs, Alina Sturck, Rudolf Mester
2018	—	`conf`	Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps. ECCV Workshops (3) Nolang Fanani, Matthias Ochs, Rudolf Mester
2018	—	`conf`	Exploiting Single Image Depth Prediction for Mono-stixel Estimation. ECCV Workshops (1) Fabian Brickwedde, Steffen Abraham, Rudolf Mester
2018	A*	`conf`	Mono-Stixels: Monocular Depth Reconstruction of Dynamic Street Scenes. ICRA Fabian Brickwedde, Steffen Abraham, Rudolf Mester
2018	J	`jnl`	Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine. CoRR Patrick Klose, Rudolf Mester
2018	—	`conf`	Simulated Autonomous Driving on Realistic Road Networks Using Deep Reinforcement Learning. APPIS Patrick Klose, Rudolf Mester
2018	B	`conf`	Spatio-Temporal Depth Interpolation (STDI). Intelligent Vehicles Symposium Matthias Ochs, Henry Bradler, Rudolf Mester
2018	—	`conf`	The precision of triangulation in monocular visual odometry. SSIAI Nolang Fanani, Rudolf Mester
2017	A	`conf`	Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences. WACV Henry Bradler, Matthias Ochs, Nolang Fanani, Rudolf Mester
2017	J	`jnl`	Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences. CoRR Henry Bradler, Matthias Ochs, Rudolf Mester
2017	—	`conf`	Learning Motion from Temporal Coincidences. ICIAP Workshops Christian Conrad, Rudolf Mester
2017	J	`jnl`	Learning Rank Reduced Interpolation with Principal Component Analysis. CoRR Matthias Ochs, Henry Bradler, Rudolf Mester
2017	B	`conf`	Learning rank reduced interpolation with principal component analysis. Intelligent Vehicles Symposium Matthias Ochs, Henry Bradler, Rudolf Mester
2017	B	`conf`	Multimodal scale estimation for monocular visual odometry. Intelligent Vehicles Symposium Nolang Fanani, Alina Sturck, Marc Barnada, Rudolf Mester
2017	J	`jnl`	Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment? Image Vis. Comput. Nolang Fanani, Alina Sturck, Matthias Ochs, Henry Bradler, Rudolf Mester
2017	J	`jnl`	Simulated Autonomous Driving on Realistic Road Networks using Deep Reinforcement Learning. CoRR Patrick Klose, Rudolf Mester
2016	B	`conf`	Evaluating visual ADAS components on the COnGRATS dataset. Intelligent Vehicles Symposium Daniel H. Biedermann, Matthias Ochs, Rudolf Mester
2016	—	`conf`	Instance-Level Segmentation of Vehicles by Deep Contours. ACCV Workshops (1) Jan van den Brand, Matthias Ochs, Rudolf Mester
2016	B	`conf`	Keypoint trajectory estimation using propagation based tracking. Intelligent Vehicles Symposium Nolang Fanani, Matthias Ochs, Henry Bradler, Rudolf Mester
2016	—	`conf`	Learning rank reduced mappings using canonical correlation analysis. SSP Christian Conrad, Rudolf Mester
2016	J	`jnl`	Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
2016	A	`conf`	Lost and Found: detecting small road hazards for self-driving vehicles. IROS Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
2016	—	`conf`	Propagation based tracking with uncertainty measurement in automotive applications. SSIAI Nolang Fanani, Rudolf Mester
2015	Misc	`conf`	COnGRATS: Realistic simulation of traffic sequences for autonomous driving. IVCNZ Daniel H. Biedermann, Matthias Ochs, Rudolf Mester
2015	C	`conf`	Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions. PSIVT Matthias Ochs, Henry Bradler, Rudolf Mester
2015	B	`conf`	Estimation of automotive pitch, yaw, and roll using enhanced phase correlation on multiple far-field windows. Intelligent Vehicles Symposium Marc Barnada, Christian Conrad, Henry Bradler, Matthias Ochs, Rudolf Mester
2015	A	`conf`	High-performance long range obstacle detection using stereo vision. IROS Peter Pinggera, Uwe Franke, Rudolf Mester
2015	B	`conf`	Learning relative photometric differences of pairs of cameras. AVSS Christian Conrad, Rudolf Mester
2015	—	`conf`	Motion Priors Estimation for Robust Matching Initialization in Automotive Applications. ISVC (1) Nolang Fanani, Marc Barnada, Rudolf Mester
2015	B	`conf`	Robust stereo visual odometry from monocular techniques. Intelligent Vehicles Symposium Mikael Persson, Tommaso Piccini, Michael Felsberg, Rudolf Mester
2015	—	`conf`	The Statistics of Driving Sequences - And What We Can Learn from Them. ICCV Workshops Henry Bradler, Birthe Anne Wiegand, Rudolf Mester
2014	—	`conf`	Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry. ECCV Workshops (2) Tommaso Piccini, Mikael Persson, Klas Nordberg, Michael Felsberg, Rudolf Mester
2014	—	`conf`	Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice. ECCV (2) Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester
2014	—	`conf`	Local Analysis of Confidence Measures for Optical Flow Quality Evaluation. VISAPP (3) Patricia Márquez-Valle, Debora Gil, Rudolf Mester, Aura Hernández-Sabaté
2014	—	`conf`	Motion estimation revisited: an estimation-theoretic approach. SSIAI Rudolf Mester
2014	B	`conf`	Spider-based Stixel object segmentation. Intelligent Vehicles Symposium Friedrich Erbs, Andreas Witte, Timo Scharwächter, Rudolf Mester, Uwe Franke
2014	B	`conf`	When Patches Match - A Statistical View on Matching under Illumination Variation. ICPR Rudolf Mester, Christian Conrad
2013	—	`conf`	A Multi-sensor Traffic Scene Dataset with Omnidirectional Video. CVPR Workshops Philipp Koschorrek, Tommaso Piccini, Per Oberg, Michael Felsberg, Lars Nielsen, Rudolf Mester
2013	—	`conf`	A Temporal Scheme for Fast Learning of Image-Patch Correspondences in Realistic Multi-camera Setups. CVPR Workshops Jens Eisenbach, Christian Conrad, Rudolf Mester
2013	—	`conf`	Contour-Relaxed Superpixels. EMMCVPR Christian Conrad, Matthias Mertz, Rudolf Mester
2013	A*	`conf`	Discriminative Subspace Clustering. CVPR Vasileios Zografos, Liam F. Ellis, Rudolf Mester
2013	—	`conf`	Highly Accurate Depth Estimation for Objects at Large Distances. GCPR Peter Pinggera, Uwe Franke, Rudolf Mester
2013	—	`conf`	Learning Multi-view Correspondences via Subspace-Based Temporal Coincidences. SCIA Christian Conrad, Rudolf Mester
2013	B	`conf`	Reducing camera vibrations and photometric changes in surveillance video. AVSS Jens Eisenbach, Matthias Mertz, Christian Conrad, Rudolf Mester
2012	—	`conf`	A Bayesian view on matching and motion estimation. SSIAI Rudolf Mester
2012	—	`conf`	Curvature oriented clustering of sparse motion vector fields. SSIAI Alvaro Guevara, Christian Conrad, Rudolf Mester
2012	B	`conf`	Illumination invariance for driving scene optical flow using comparagram preselection. Intelligent Vehicles Symposium David Dederscheck, Thomas Müller, Rudolf Mester
2012	A	`conf`	Learning geometrical transforms between multi camera views using Canonical Correlation Analysis. BMVC Christian Conrad, Rudolf Mester
2011	B	`conf`	Boosting segmentation results by contour relaxation. ICIP Alvaro Guevara, Christian Conrad, Rudolf Mester
2011	—	`conf`	Illumination-Robust Dense Optical Flow Using Census Signatures. DAGM-Symposium Thomas Müller, Clemens Rabe, Jens Rannacher, Uwe Franke, Rudolf Mester
2011	—	`conf`	Learning multi-view correspondences from temporal coincidences. CVPR Workshops Christian Conrad, Alvaro Guevara, Rudolf Mester
2011	—	`conf`	Multichannel Segmentation Using Contour Relaxation: Fast Super-Pixels and Temporal Propagation. SCIA Rudolf Mester, Christian Conrad, Alvaro Guevara
2011	—	`conf`	On Performance Analysis of Optical Flow Algorithms. Theoretical Foundations of Computer Vision Daniel Kondermann, Steffen Abraham, Gabriel J. Brostow, Wolfgang Förstner, Stefan Gehrig, Atsushi Imiya, Bernd Jähne, Felix Klose, Marcus A. Magnor, Helmut Mayer, Rudolf Mester, Tomás Pajdla, Ralf Reulke, Henning Zimmer
2011	—	`ed.`	Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011. Proceedings DAGM-Symposium Rudolf Mester, Michael Felsberg
2011	—	`conf`	Recursive Live Dense Reconstruction: Some comments on established and imaginable new approaches. ICCV Workshops Rudolf Mester
2011	—	`conf`	Wiener crosses borders: interpolation based on second order models. Image Processing: Algorithms and Systems Alvaro Guevara, Rudolf Mester
2010	B	`conf`	Optical Rails: View-Based Track Following with Hemispherical Environment Model and Orientation View Descriptors. ICPR David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester
2010	—	`conf`	Signal reconstruction from noisy, aliased, and nonideal samples: What linear MMSE approaches can achieve. EUSIPCO Alvaro Guevara, Rudolf Mester
2010	—	`conf`	Slicing the View: Occlusion-Aware View-Based Robot Navigation. DAGM-Symposium David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester
2009	—	`conf`	'Featuring' Optical Rails: View-based robot guidance using orientation features on the sphere. ICCV Workshops David Dederscheck, Holger Friedrich, Christine Lenhart, Martin Zahn, Rudolf Mester
2008	—	`conf`	A Statistical Confidence Measure for Optical Flows. ECCV (3) Claudia Kondermann, Rudolf Mester, Christoph S. Garbe
2008	—	`conf`	Optical Rails. DAGM-Symposium Holger Friedrich, David Dederscheck, Eduard Rosert, Rudolf Mester
2008	—	`conf`	Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation. DAGM-Symposium Kai Krajsek, Rudolf Mester, Hanno Scharr
2008	—	`conf`	View-Based Robot Localization Using Illumination-Invariant Spherical Harmonics Descriptors. VISAPP (2) Holger Friedrich, David Dederscheck, Martin Mutz, Rudolf Mester
2007	—	`conf`	Bayesian Model Selection for Optical Flow Estimation. DAGM-Symposium Kai Krajsek, Rudolf Mester
2007	—	`conf`	Highly Accurate Orientation Estimation using Steerable Filters. ICIP (5) Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester
2007	—	`conf`	View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results. DAGM-Symposium Holger Friedrich, David Dederscheck, Kai Krajsek, Rudolf Mester
2006	B	`conf`	A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods. ICIP Kai Krajsek, Rudolf Mester
2006	—	`conf`	A Unified Theory for Steerable and Quadrature Filters. VISIGRAPP (Selected Papers) Kai Krajsek, Rudolf Mester
2006	—	`conf`	An unified theory for steerable and quadrature filters. VISAPP (1) Kai Krajsek, Rudolf Mester
2006	—	`ed.`	Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers IWCM Bernd Jähne, Rudolf Mester, Erhardt Barth, Hanno Scharr
2006	—	`conf`	The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images. DAGM-Symposium Kai Krajsek, Rudolf Mester
2005	—	`conf`	A Fast Algorithm for Statistically Optimized Orientation Estimation. DAGM-Symposium Matthias Mühlich, Rudolf Mester
2005	—	`conf`	Optimal Estimation of Homogeneous Vectors. SCIA Matthias Mühlich, Rudolf Mester
2005	—	`conf`	Signal and Noise Adapted Filters for Differential Motion Estimation. DAGM-Symposium Kai Krajsek, Rudolf Mester
2004	—	`conf`	A statistical extension of normalized convolution and its usage for image interpolation and filtering. EUSIPCO Matthias Mühlich, Rudolf Mester
2004	—	`ed.`	Statistical Methods in Video Processing, ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers ECCV Workshop SMVP Dorin Comaniciu, Ken-ichi Kanatani, Rudolf Mester, David Suter
2004	—	`conf`	Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis. ECCV Workshop SMVP Matthias Mühlich, Rudolf Mester
2004	—	`conf`	Wiener-Optimized Discrete Filters for Differential Motion Estimation. IWCM Kai Krajsek, Rudolf Mester
2003	—	`conf`	A New View at Differential and Tensor-Based Motion Estimation Schemes. DAGM-Symposium Rudolf Mester
2003	—	`conf`	The generalization, optimization, and information-theoretic justification of filter-based and autocovariance-based motion estimation. ICIP (3) Rudolf Mester
2002	—	`conf`	A System-Theoretical View on Local Motion Estimation (invited). SSIAI Rudolf Mester
2001	J	`jnl`	A considerable improvement in non-iterative homography estimation using TLS and equilibration. Pattern Recognit. Lett. Matthias Mühlich, Rudolf Mester
2001	—	`conf`	Bayesian illumination-invariant motion detection. ICIP (3) Til Aach, Lutz Dümbgen, Rudolf Mester, Daniel Toth
2001	—	`conf`	Illumination-Invariant Change Detection Using a Statistical Colinearity Criterion. DAGM-Symposium Rudolf Mester, Til Aach, Lutz Dümbgen
2001	—	`conf`	Improving motion and orientation estimation using an equilibrated total least squares approach. ICIP (2) Matthias Mühlich, Rudolf Mester
2000	—	`conf`	Orientation estimation: Conventional techniques and a new non-differential approach. EUSIPCO Rudolf Mester
1999	C	`conf`	Estimating Consistent Motion from Three Views: An Alternative to Trifocal Analysis. CAIP Stefan Trautwein, Matthias Mühlich, Dirk Feiden, Rudolf Mester
1999	—	`conf`	Robuste Bewegungsschätzung in planaren Welten aus monokularen Bildsequenzen. DAGM-Symposium Dirk Feiden, Matthias Mühlich, Rudolf Mester
1998	—	`conf`	Ein verallgemeinerter Total Least Squares-Ansatz zur Schätzung der Epipolargeometrie. DAGM-Symposium Matthias Mühlich, Rudolf Mester
1998	—	`conf`	The Role of Total Least Squares in Motion Analysis. ECCV (2) Matthias Mühlich, Rudolf Mester
1996	J	`jnl`	Detection and description of moving objects by stochastic modelling and analysis of complex scenes. Signal Process. Image Commun. Michael Hötter, Rudolf Mester, Frank Müller
1996	B	`conf`	Detection of moving objects using a robust displacement estimation including a statistical error analysis. ICPR Michael Hötter, Rudolf Mester, Michael Meyer
1995	J	`jnl`	On texture analysis: Local energy transforms versus quadrature filters. Signal Process. Til Aach, André Kaup, Rudolf Mester
1995	—	`conf`	Zuverlässigkeit und Effizienz von Verfahren zur Verschiebungsvektorschätzung. DAGM-Symposium Rudolf Mester, Michael Hötter
1993	J	`jnl`	Statistical model-based change detection in moving video. Signal Process. Til Aach, André Kaup, Rudolf Mester
1992	J	`jnl`	Spectral Entropy-Activity Classification in Adaptive Transform Coding. IEEE J. Sel. Areas Commun. Rudolf Mester, Uwe Franke
1990	Misc	`conf`	Combined displacement estimation and segmentation of stereo image pairs based on Gibbs random fields. ICASSP Til Aach, André Kaup, Rudolf Mester
1989	—	`—`	Regionenorientierte Bildsegmentierung unter Verwendung stochastischer Bildmodelle. Rudolf Mester
1989	Misc	`conf`	Top-down image segmentation using object detection and contour relaxation. ICASSP Til Aach, Uwe Franke, Rudolf Mester
1988	—	`conf`	Segmentation of Image Pairs and Sequences by Contour Relaxation. DAGM-Symposium Rudolf Mester, Uwe Franke, Til Aach
1987	—	`conf`	Ein regionenorientiertes Bildkodierungskonzept mit sehr hoher Datenreduktion. ASST Uwe Franke, Rudolf Mester
1987	—	`conf`	Ein regionenorientiertes Segmentierungsverfahren für texturierte Bildvorlagen. ASST Rudolf Mester, Uwe Franke