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Rudolf Mester

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affiliation: Goethe University Frankfurt am Main, Germany

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2020 – today

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2024
[c114]
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Nicholas Dalhaug, Annette Stahl, Rudolf Mester, Edmund Førland Brekke:
Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. FUSION 2024: 1-8
[c113]
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Jon Torgeir Grini, Rudolf Mester, Trym Anthonsen Nygård, Nicholas Dalhaug, Edmund Førland Brekke, Annette Stahl:
FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. FUSION 2024: 1-8
[c112]
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Henrik Hilmarsen, Nicholas Dalhaug, Trym Anthonsen Nygård, Edmund Førland Brekke, Rudolf Mester, Annette Stahl:
Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar. FUSION 2024: 1-8
[c111]
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Michael Ernesto López, Kjetil Vasstein, Edmund Brekke, Rudolf Mester, Annette Stahl:
A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking. FUSION 2024: 1-7
[c110]
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Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester:
RGB-D Mapping and Tracking in a Plenoxel Radiance Field. WACV 2024: 3330-3339
2023
[c109]
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Henrik D. Flemmen, Rudolf Mester, Annette Stahl, Torleiv H. Bryne, Edmund Førland Brekke:
Maritime radar odometry inspired by visual odometry. FUSION 2023: 1-8
[c108]
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Michael Ernesto López, Edmund Brekke, Rudolf Mester, Annette Stahl:
Multiscan Shape Estimation for Extended Object Tracking. FUSION 2023: 1-8
[c107]
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Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth:
Realistic Full-Body Anonymization with Surface-Guided GANs. WACV 2023: 1430-1440
[i19]
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  - journals/corr/abs-2307-03404
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Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester:
RGB-D Mapping and Tracking in a Plenoxel Radiance Field. CoRR abs/2307.03404 (2023)
[i18]
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  - journals/corr/abs-2311-10523
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Andreas Langeland Teigen, Mauhing Yip, Victor P. Hamran, Vegard Skui, Annette Stahl, Rudolf Mester:
Removing Adverse Volumetric Effects From Trained Neural Radiance Fields. CoRR abs/2311.10523 (2023)
2022
[j7]
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  - journals/ijon/NamaziMLL22
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Elnaz Namazi, Rudolf Mester, Chaoru Lu, Jingyue Li:
Geolocation estimation of target vehicles using image processing and geometric computation. Neurocomputing 499: 35-46 (2022)
[c106]
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  - conf/cvpr/HodneLYTSM22
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Lars Martin Hodne, Eirik Leikvoll, Mauhing Yip, Andreas Langeland Teigen, Annette Stahl, Rudolf Mester:
Detecting and Suppressing Marine Snow for Underwater Visual SLAM. CVPR Workshops 2022: 5097-5105
[c105]
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  - conf/icra/SchmidSRFM22
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Jan Fabian Schmid, Stephan F. Simon, Raaghav Radhakrishnan, Simone Frintrop, Rudolf Mester:
HD Ground - A Database for Ground Texture Based Localization. ICRA 2022: 7628-7634
[i17]
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  - journals/corr/abs-2201-02193
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Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth:
Realistic Full-Body Anonymization with Surface-Guided GANs. CoRR abs/2201.02193 (2022)
[i16]
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  - journals/corr/abs-2203-10938
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Elnaz Namazi, Rudolf Mester, Chaoru Lu, Jingyue Li:
Geolocation estimation of target vehicles using image processing and geometric computation. CoRR abs/2203.10938 (2022)
2021
[c104]
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  - conf/iccvw/ZwilgmeyerYTMS21
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Peder Georg Olofsson Zwilgmeyer, Mauhing Yip, Andreas Langeland Teigen, Rudolf Mester, Annette Stahl:
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCVW 2021: 3715-3723
[c103]
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Henry Bradler, Adrian Kretz, Rudolf Mester:
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. IV 2021: 1198-1205
[i15]
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  - journals/corr/abs-2105-14993
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Henry Bradler, Adrian Kretz, Rudolf Mester:
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. CoRR abs/2105.14993 (2021)
[i14]
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  - journals/corr/abs-2109-01559
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Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Model-Based Parameter Optimization for Ground Texture Based Localization Methods. CoRR abs/2109.01559 (2021)
2020
[c102]
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  - conf/dagm/HukkelasLM20
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Håkon Hukkelås, Frank Lindseth, Rudolf Mester:
Image Inpainting with Learnable Feature Imputation. GCPR 2020: 388-403
[c101]
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  - conf/hais/NamaziLML20
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Elnaz Namazi, Jingyue Li, Rudolf Mester, Chaoru Lu:
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems. HAIS 2020: 598-611
[c100]
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Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization Using Compact Binary Descriptors. ICRA 2020: 1315-1321
[c99]
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Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization: Do We Need to Detect Keypoints? IROS 2020: 4575-4580
[c98]
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  - conf/ssiai/KretzM20
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Adrian Kretz, Rudolf Mester:
A Shared Representation for Object Tracking and Classification using Siamese Networks. SSIAI 2020: 54-57
[i13]
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  - journals/corr/abs-2002-11061
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Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization Using Compact Binary Descriptors. CoRR abs/2002.11061 (2020)
[i12]
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  - journals/corr/abs-2002-11948
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Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Features for Ground Texture Based Localization - A Survey. CoRR abs/2002.11948 (2020)
[i11]
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  - journals/corr/abs-2011-01077
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Håkon Hukkelås, Frank Lindseth, Rudolf Mester:
Image Inpainting with Learnable Feature Imputation. CoRR abs/2011.01077 (2020)

2010 – 2019

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2019
[c97]
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Patrick Klose, Rudolf Mester:
Simulated autonomous driving in a realistic driving environment using deep reinforcement learning and a deterministic finite state machine. APPIS 2019: 30:1-30:6
[c96]
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Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Features for Ground Texture Based Localization - A Survey. BMVC 2019: 134
[c95]
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Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops 2019: 69-77
[c94]
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Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops 2019: 1258-1266
[c93]
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Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. GCPR 2019: 288-302
[c92]
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  - conf/eusipco/SanchezMK19
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Ricardo M. Sánchez, Rudolf Mester, Mikhail Kudryashev:
Fast Alignment of Limited Angle Tomograms by projected Cross Correlation. EUSIPCO 2019: 1-5
[c91]
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  - conf/iccv/BrickweddeAM19
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Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. ICCV 2019: 2780-2790
[c90]
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Håkon Hukkelås, Rudolf Mester, Frank Lindseth:
DeepPrivacy: A Generative Adversarial Network for Face Anonymization. ISVC (1) 2019: 565-578
[c89]
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  - conf/scia/SanchezMK19
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Ricardo M. Sánchez, Rudolf Mester, Mikhail Kudryashev:
Fast Cross Correlation for Limited Angle Tomographic Data. SCIA 2019: 415-426
[i10]
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  - journals/corr/abs-1904-08105
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Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network. CoRR abs/1904.08105 (2019)
[i9]
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  - journals/corr/abs-1907-10659
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Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. CoRR abs/1907.10659 (2019)
[i8]
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  - journals/corr/abs-1908-02635
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Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes. CoRR abs/1908.02635 (2019)
[i7]
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  - journals/corr/abs-1908-06316
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Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. CoRR abs/1908.06316 (2019)
[i6]
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  - journals/corr/abs-1909-04538
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Håkon Hukkelås, Rudolf Mester, Frank Lindseth:
DeepPrivacy: A Generative Adversarial Network for Face Anonymization. CoRR abs/1909.04538 (2019)
2018
[c88]
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Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving on Realistic Road Networks Using Deep Reinforcement Learning. APPIS 2018: 169-180
[c87]
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Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Exploiting Single Image Depth Prediction for Mono-stixel Estimation. ECCV Workshops (1) 2018: 240-255
[c86]
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  - conf/eccv/FananiOM18
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Nolang Fanani, Matthias Ochs, Rudolf Mester:
Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps. ECCV Workshops (3) 2018: 281-297
[c85]
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Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-Stixels: Monocular Depth Reconstruction of Dynamic Street Scenes. ICRA 2018: 1-7
[c84]
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  - conf/ivs/FananiOSM18
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Nolang Fanani, Matthias Ochs, Alina Sturck, Rudolf Mester:
CNN-based multi-frame IMO detection from a monocular camera. Intelligent Vehicles Symposium 2018: 957-964
[c83]
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Matthias Ochs, Henry Bradler, Rudolf Mester:
Spatio-Temporal Depth Interpolation (STDI). Intelligent Vehicles Symposium 2018: 1742-1748
[c82]
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Nolang Fanani, Rudolf Mester:
The precision of triangulation in monocular visual odometry. SSIAI 2018: 1-4
[i5]
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  - journals/corr/abs-1811-07868
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Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine. CoRR abs/1811.07868 (2018)
2017
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Nolang Fanani, Alina Sturck, Matthias Ochs, Henry Bradler, Rudolf Mester:
Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment? Image Vis. Comput. 68: 3-13 (2017)
[c81]
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  - conf/iciap/ConradM17
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Christian Conrad, Rudolf Mester:
Learning Motion from Temporal Coincidences. ICIAP Workshops 2017: 15-25
[c80]
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Matthias Ochs, Henry Bradler, Rudolf Mester:
Learning rank reduced interpolation with principal component analysis. Intelligent Vehicles Symposium 2017: 1126-1133
[c79]
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Nolang Fanani, Alina Sturck, Marc Barnada, Rudolf Mester:
Multimodal scale estimation for monocular visual odometry. Intelligent Vehicles Symposium 2017: 1714-1721
[c78]
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Henry Bradler, Matthias Ochs, Nolang Fanani, Rudolf Mester:
Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences. WACV 2017: 445-453
[i4]
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Matthias Ochs, Henry Bradler, Rudolf Mester:
Learning Rank Reduced Interpolation with Principal Component Analysis. CoRR abs/1703.05061 (2017)
[i3]
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Henry Bradler, Matthias Ochs, Rudolf Mester:
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences. CoRR abs/1703.05065 (2017)
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Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving on Realistic Road Networks using Deep Reinforcement Learning. CoRR abs/1712.04363 (2017)
2016
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Jan van den Brand, Matthias Ochs, Rudolf Mester:
Instance-Level Segmentation of Vehicles by Deep Contours. ACCV Workshops (1) 2016: 477-492
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Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: detecting small road hazards for self-driving vehicles. IROS 2016: 1099-1106
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Nolang Fanani, Matthias Ochs, Henry Bradler, Rudolf Mester:
Keypoint trajectory estimation using propagation based tracking. Intelligent Vehicles Symposium 2016: 933-939
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Daniel H. Biedermann, Matthias Ochs, Rudolf Mester:
Evaluating visual ADAS components on the COnGRATS dataset. Intelligent Vehicles Symposium 2016: 986-991
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Nolang Fanani, Rudolf Mester:
Propagation based tracking with uncertainty measurement in automotive applications. SSIAI 2016: 117-120
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Christian Conrad, Rudolf Mester:
Learning rank reduced mappings using canonical correlation analysis. SSP 2016: 1-5
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Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR abs/1609.04653 (2016)
2015
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Christian Conrad, Rudolf Mester:
Learning relative photometric differences of pairs of cameras. AVSS 2015: 1-6
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Henry Bradler, Birthe Anne Wiegand, Rudolf Mester:
The Statistics of Driving Sequences - And What We Can Learn from Them. ICCV Workshops 2015: 106-114
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Peter Pinggera, Uwe Franke, Rudolf Mester:
High-performance long range obstacle detection using stereo vision. IROS 2015: 1308-1313
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Nolang Fanani, Marc Barnada, Rudolf Mester:
Motion Priors Estimation for Robust Matching Initialization in Automotive Applications. ISVC (1) 2015: 115-126
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Daniel H. Biedermann, Matthias Ochs, Rudolf Mester:
COnGRATS: Realistic simulation of traffic sequences for autonomous driving. IVCNZ 2015: 1-6
[c66]
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Marc Barnada, Christian Conrad, Henry Bradler, Matthias Ochs, Rudolf Mester:
Estimation of automotive pitch, yaw, and roll using enhanced phase correlation on multiple far-field windows. Intelligent Vehicles Symposium 2015: 481-486
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Mikael Persson, Tommaso Piccini, Michael Felsberg, Rudolf Mester:
Robust stereo visual odometry from monocular techniques. Intelligent Vehicles Symposium 2015: 686-691
[c64]
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Matthias Ochs, Henry Bradler, Rudolf Mester:
Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions. PSIVT 2015: 368-379
2014
[c63]
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Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester:
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice. ECCV (2) 2014: 96-111
[c62]
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Tommaso Piccini, Mikael Persson, Klas Nordberg, Michael Felsberg, Rudolf Mester:
Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry. ECCV Workshops (2) 2014: 652-664
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Rudolf Mester, Christian Conrad:
When Patches Match - A Statistical View on Matching under Illumination Variation. ICPR 2014: 4364-4369
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Friedrich Erbs, Andreas Witte, Timo Scharwächter, Rudolf Mester, Uwe Franke:
Spider-based Stixel object segmentation. Intelligent Vehicles Symposium 2014: 906-911
[c59]
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Rudolf Mester:
Motion estimation revisited: an estimation-theoretic approach. SSIAI 2014: 113-116
[c58]
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Patricia Márquez-Valle, Debora Gil, Rudolf Mester, Aura Hernández-Sabaté:
Local Analysis of Confidence Measures for Optical Flow Quality Evaluation. VISAPP (3) 2014: 450-457
2013
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Jens Eisenbach, Matthias Mertz, Christian Conrad, Rudolf Mester:
Reducing camera vibrations and photometric changes in surveillance video. AVSS 2013: 69-74
[c56]
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Philipp Koschorrek, Tommaso Piccini, Per Oberg, Michael Felsberg, Lars Nielsen, Rudolf Mester:
A Multi-sensor Traffic Scene Dataset with Omnidirectional Video. CVPR Workshops 2013: 727-734
[c55]
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Jens Eisenbach, Christian Conrad, Rudolf Mester:
A Temporal Scheme for Fast Learning of Image-Patch Correspondences in Realistic Multi-camera Setups. CVPR Workshops 2013: 808-815
[c54]
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Vasileios Zografos, Liam F. Ellis, Rudolf Mester:
Discriminative Subspace Clustering. CVPR 2013: 2107-2114
[c53]
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Peter Pinggera, Uwe Franke, Rudolf Mester:
Highly Accurate Depth Estimation for Objects at Large Distances. GCPR 2013: 21-30
[c52]
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Christian Conrad, Matthias Mertz, Rudolf Mester:
Contour-Relaxed Superpixels. EMMCVPR 2013: 280-293
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Christian Conrad, Rudolf Mester:
Learning Multi-view Correspondences via Subspace-Based Temporal Coincidences. SCIA 2013: 456-467
2012
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Christian Conrad, Rudolf Mester:
Learning geometrical transforms between multi camera views using Canonical Correlation Analysis. BMVC 2012: 1-12
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David Dederscheck, Thomas Müller, Rudolf Mester:
Illumination invariance for driving scene optical flow using comparagram preselection. Intelligent Vehicles Symposium 2012: 742-747
[c48]
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Alvaro Guevara, Christian Conrad, Rudolf Mester:
Curvature oriented clustering of sparse motion vector fields. SSIAI 2012: 161-164
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Rudolf Mester:
A Bayesian view on matching and motion estimation. SSIAI 2012: 197-200
2011
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Christian Conrad, Alvaro Guevara, Rudolf Mester:
Learning multi-view correspondences from temporal coincidences. CVPR Workshops 2011: 9-16
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Thomas Müller, Clemens Rabe, Jens Rannacher, Uwe Franke, Rudolf Mester:
Illumination-Robust Dense Optical Flow Using Census Signatures. DAGM-Symposium 2011: 236-245
[c44]
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Rudolf Mester:
Recursive Live Dense Reconstruction: Some comments on established and imaginable new approaches. ICCV Workshops 2011: 712-714
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Alvaro Guevara, Christian Conrad, Rudolf Mester:
Boosting segmentation results by contour relaxation. ICIP 2011: 1405-1408
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Alvaro Guevara, Rudolf Mester:
Wiener crosses borders: interpolation based on second order models. Image Processing: Algorithms and Systems 2011: 78700L
[c41]
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Rudolf Mester, Christian Conrad, Alvaro Guevara:
Multichannel Segmentation Using Contour Relaxation: Fast Super-Pixels and Temporal Propagation. SCIA 2011: 250-261
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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:
On Performance Analysis of Optical Flow Algorithms. Theoretical Foundations of Computer Vision 2011: 329-355
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Rudolf Mester, Michael Felsberg:
Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011. Proceedings. Lecture Notes in Computer Science 6835, Springer 2011, ISBN 978-3-642-23122-3 [contents]
2010
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David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester:
Slicing the View: Occlusion-Aware View-Based Robot Navigation. DAGM-Symposium 2010: 111-120
[c38]
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Alvaro Guevara, Rudolf Mester:
Signal reconstruction from noisy, aliased, and nonideal samples: What linear MMSE approaches can achieve. EUSIPCO 2010: 1291-1295
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David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester:
Optical Rails: View-Based Track Following with Hemispherical Environment Model and Orientation View Descriptors. ICPR 2010: 2752-2755

2000 – 2009

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2009
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David Dederscheck, Holger Friedrich, Christine Lenhart, Martin Zahn, Rudolf Mester:
'Featuring' Optical Rails: View-based robot guidance using orientation features on the sphere. ICCV Workshops 2009: 2156-2163
2008
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Holger Friedrich, David Dederscheck, Eduard Rosert, Rudolf Mester:
Optical Rails. DAGM-Symposium 2008: 345-354
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Kai Krajsek, Rudolf Mester, Hanno Scharr:
Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation. DAGM-Symposium 2008: 466-475
[c33]
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Claudia Kondermann, Rudolf Mester, Christoph S. Garbe:
A Statistical Confidence Measure for Optical Flows. ECCV (3) 2008: 290-301
[c32]
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Holger Friedrich, David Dederscheck, Martin Mutz, Rudolf Mester:
View-Based Robot Localization Using Illumination-Invariant Spherical Harmonics Descriptors. VISAPP (2) 2008: 543-550
2007
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Holger Friedrich, David Dederscheck, Kai Krajsek, Rudolf Mester:
View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results. DAGM-Symposium 2007: 21-31
[c30]
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Kai Krajsek, Rudolf Mester:
Bayesian Model Selection for Optical Flow Estimation. DAGM-Symposium 2007: 142-151
[c29]
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Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester:
Highly Accurate Orientation Estimation using Steerable Filters. ICIP (5) 2007: 277-280
2006
[c28]
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Kai Krajsek, Rudolf Mester:
The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images. DAGM-Symposium 2006: 91-100
[c27]
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Kai Krajsek, Rudolf Mester:
A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods. ICIP 2006: 1081-1084
[c26]
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Kai Krajsek, Rudolf Mester:
An unified theory for steerable and quadrature filters. VISAPP (1) 2006: 48-55
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Kai Krajsek, Rudolf Mester:
A Unified Theory for Steerable and Quadrature Filters. VISIGRAPP (Selected Papers) 2006: 201-214
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Bernd Jähne, Rudolf Mester, Erhardt Barth, Hanno Scharr:
Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers. Lecture Notes in Computer Science 3417, Springer 2006, ISBN 978-3-540-69864-7 [contents]
2005
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Matthias Mühlich, Rudolf Mester:
A Fast Algorithm for Statistically Optimized Orientation Estimation. DAGM-Symposium 2005: 238-245
[c23]
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Kai Krajsek, Rudolf Mester:
Signal and Noise Adapted Filters for Differential Motion Estimation. DAGM-Symposium 2005: 476-484
[c22]
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Matthias Mühlich, Rudolf Mester:
Optimal Estimation of Homogeneous Vectors. SCIA 2005: 322-332
2004
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Matthias Mühlich, Rudolf Mester:
Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis. ECCV Workshop SMVP 2004: 38-49
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Matthias Mühlich, Rudolf Mester:
A statistical extension of normalized convolution and its usage for image interpolation and filtering. EUSIPCO 2004: 489-492
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Kai Krajsek, Rudolf Mester:
Wiener-Optimized Discrete Filters for Differential Motion Estimation. IWCM 2004: 30-41
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Dorin Comaniciu, Ken-ichi Kanatani, Rudolf Mester, David Suter:
Statistical Methods in Video Processing, ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3247, Springer 2004, ISBN 3-540-23989-8 [contents]
2003
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Rudolf Mester:
A New View at Differential and Tensor-Based Motion Estimation Schemes. DAGM-Symposium 2003: 321-329
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Rudolf Mester:
The generalization, optimization, and information-theoretic justification of filter-based and autocovariance-based motion estimation. ICIP (3) 2003: 81-84
2002
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Rudolf Mester:
A System-Theoretical View on Local Motion Estimation (invited). SSIAI 2002: 201-205
2001
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Matthias Mühlich, Rudolf Mester:
A considerable improvement in non-iterative homography estimation using TLS and equilibration. Pattern Recognit. Lett. 22(11): 1181-1189 (2001)
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Rudolf Mester, Til Aach, Lutz Dümbgen:
Illumination-Invariant Change Detection Using a Statistical Colinearity Criterion. DAGM-Symposium 2001: 170-177
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Til Aach, Lutz Dümbgen, Rudolf Mester, Daniel Toth:
Bayesian illumination-invariant motion detection. ICIP (3) 2001: 640-643
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Matthias Mühlich, Rudolf Mester:
Improving motion and orientation estimation using an equilibrated total least squares approach. ICIP (2) 2001: 929-932
2000
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Rudolf Mester:
Orientation estimation: Conventional techniques and a new non-differential approach. EUSIPCO 2000: 1-4

1990 – 1999

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1999
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Stefan Trautwein, Matthias Mühlich, Dirk Feiden, Rudolf Mester:
Estimating Consistent Motion from Three Views: An Alternative to Trifocal Analysis. CAIP 1999: 311-320
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Dirk Feiden, Matthias Mühlich, Rudolf Mester:
Robuste Bewegungsschätzung in planaren Welten aus monokularen Bildsequenzen. DAGM-Symposium 1999: 292-300
1998
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Matthias Mühlich, Rudolf Mester:
Ein verallgemeinerter Total Least Squares-Ansatz zur Schätzung der Epipolargeometrie. DAGM-Symposium 1998: 349-356
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Matthias Mühlich, Rudolf Mester:
The Role of Total Least Squares in Motion Analysis. ECCV (2) 1998: 305-321
1996
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Michael Hötter, Rudolf Mester, Frank Müller:
Detection and description of moving objects by stochastic modelling and analysis of complex scenes. Signal Process. Image Commun. 8(4): 281-293 (1996)
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Michael Hötter, Rudolf Mester, Michael Meyer:
Detection of moving objects using a robust displacement estimation including a statistical error analysis. ICPR 1996: 249-255
1995
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Til Aach, André Kaup, Rudolf Mester:
On texture analysis: Local energy transforms versus quadrature filters. Signal Process. 45(2): 173-181 (1995)
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Rudolf Mester, Michael Hötter:
Zuverlässigkeit und Effizienz von Verfahren zur Verschiebungsvektorschätzung. DAGM-Symposium 1995: 285-294
1993
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Til Aach, André Kaup, Rudolf Mester:
Statistical model-based change detection in moving video. Signal Process. 31(2): 165-180 (1993)
1992
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Rudolf Mester, Uwe Franke:
Spectral Entropy-Activity Classification in Adaptive Transform Coding. IEEE J. Sel. Areas Commun. 10(5): 913-917 (1992)
1990
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Til Aach, André Kaup, Rudolf Mester:
Combined displacement estimation and segmentation of stereo image pairs based on Gibbs random fields. ICASSP 1990: 2301-2304

1980 – 1989

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1989
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Rudolf Mester:
Regionenorientierte Bildsegmentierung unter Verwendung stochastischer Bildmodelle. RWTH Aachen University, Germany, VDI-Verlag 1989, ISBN 978-3-18-140610-6, pp. 1-168
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Til Aach, Uwe Franke, Rudolf Mester:
Top-down image segmentation using object detection and contour relaxation. ICASSP 1989: 1703-1706
1988
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Rudolf Mester, Uwe Franke, Til Aach:
Segmentation of Image Pairs and Sequences by Contour Relaxation. DAGM-Symposium 1988: 104-110
1987
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Rudolf Mester, Uwe Franke:
Ein regionenorientiertes Segmentierungsverfahren für texturierte Bildvorlagen. ASST 1987: 135-138
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Uwe Franke, Rudolf Mester:
Ein regionenorientiertes Bildkodierungskonzept mit sehr hoher Datenreduktion. ASST 1987: 195-198

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