Das aktuelle Team

Mitglied werden

Wir freuen uns über Neumitglieder und Unterstützer in allen Bereichen!

Bei Interesse einfach in einem Meeting vorbeischauen, eine E-Mail an uns schreiben oder sich hier in den Interessentenverteiler eintragen.

Kontakte

Team

Sascha Braun

Sascha Braun

Mail senden »

Michelle Xiao-Lin Foo

Michelle Xiao-Lin Foo

Gebäude 4
Raum 4-105
Mail senden »

Atmaraaj Gopal

Atmaraaj Gopal

Gebäude 4
Raum 4-105
Mail senden »

Jörn Hoffarth

Jörn Hoffarth

Gebäude 4
Raum 4-105
Mail senden »

Patrik Huber

Patrik Huber

Mail senden »

Vorlesungsschwerpunkte
  • Tracking
Robert Hülsmann

Robert Hülsmann

Mail senden »

Marc Katzenmaier

Marc Katzenmaier

Mail senden »

Robin Dirk Keinert

Robin Dirk Keinert

Gebäude 4
Raum 4-105
Mail senden »

Maximilian Koch

Mail senden »

Philipp Kopp

Philipp Kopp

Mail senden »

Tobias Oschwald

Mail senden »

Matthias Rätsch

Prof. Dr. rer. nat. Matthias Rätsch

Sprechstunde: Dienstags, 19:00 bis 20:00 Uhr, sowie nach Vereinbarung, Raum 4-105/6 oder 4-110

Gebäude 4
Raum 4-110
Tel. +49 7121 271-4046
Fax +49 7121 271-7004
Mail senden »

Lehrgebiete
Publikationen

Ausgewählte Publikationen/Selected Papers

 

  • Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving, 2nd International Conference on Systems, Control and Communications (ICSCC), Journal of Computers (JCP), vol.13(4), pp. 393-400, (ISSN: 1796-203X). Bangkok. 2016 and San Bernardino, CA, 2018. (journal award, keynote speech, otto-johansen-price) [DOI: 10.17706/jcp.13.4.393-400, pdf]
  • Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (to appear). 2017
  • Schreve, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Videometrics, Range Imaging, and Applications Conference (SPIE), Munich, 2017 [DOI: 10.1117/12.2270163]
  • Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving (to appear), 2nd International Conference on Systems, Control and Communications (ICSCC), Bangkok. 2016. (journal award, keynote speech)
  • Huber, W. Christmas, J. Kittler, P. Kopp, M. Rätsch. Real-time 3D Face Fitting and Texture Fusion on In-the-wild Videos, IEEE Signal Processing Letters (Print ISSN: 1070-9908, Online ISSN: 1558-2361), (to appear) 2016 [IEEE] [Preprint PDF] [DOI: 10.1109/LSP.2016.2643284]
  • Grupp, P. Kopp, P. Huber, M. Rätsch. A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment, 20th International Symposium of the RoboCup World Championships 2016, Lecture Notes in Artificial Intelligence (LNAI, ISSN 0302-9743), (to appear) 2016 [RoboCup Pro.] [Preprint PDF
  • Huber, W. Christmas, M. Rätsch, A. Hilton, J. Kittler. Real-time 3D Face Super-resolution From Monocular In-the-wild Videos, SIGGRAPH, 2016, Anaheim, United States [ACM] [Abstract (PDF)] [Poster (PDF)] [YouTube video]
  • Huber, G. Hu, R. Tena, P. Mortazavian, W. Koppen, W. Christmas, M. Rätsch, J. Kittler. A Multiresolution 3D Morphable Face Model and Fitting Framework, International Conference on Computer Vision Theory and Applications (VISAPP), vol. 4, pp. 79-86 (ISSN: 978-989-758-175-5), Rome, Italy. 2016. [DOI: 10.5220/0005669500790086] [Preprint PDF] [BibTeX] [Code (GitHub)]
  • Wittig, U. Kloos, M. Rätsch. Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction, International Conference on Computer Technology and Development (ICCTD), Journal of Computers, vol. 11, no. 6, pp. 439-445 (JCP, ISSN: 1796-203X), Singapore. 2016. (journal award)
  • Huber, Z. Feng, W. Christmas, J. Kittler, M. Rätsch. Fitting 3D Morphable Models using Local Features, IEEE International Conference on Image Processing (ICIP), pp 1195 - 1199, 2015, Québec City, Canada ("top 10%" paper award) [DOI: 10.1109/ICIP.2015.7350989] [IEEE] [Preprint PDF (arXiv)] [BMVA meeting slides]
  • Wittig, U. Kloos, M. Rätsch. Animation of Parameterized Facial Expressions for Collaborative Robots, Informatics Inside Conference for Human-Centered Computing, pp 72-73. 2015 (award)
  • Poschmann, P. Huber, M. Rätsch, J. Kittler, H.-J. Böhme. Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects, Conference on Intelligent Human Computer Interaction (IHCI), 2014, Evry, France [DOI: 10.1016/j.procs.2014.11.025] [ScienceDirect] [PDF: Poster, Paper] [Source code on Github]
  • Huber, J. Kittler, M. Rätsch. Bottom-up and Top-down Face Analysis based on 3D Face Models, Informatics Inside Conference for Human-Centered Computing, pp 138. 2014 (award)
  • Rätsch, C. Blumer, T. Vetter, and G. Teschke. Efficient Object Tracking by Condentional and Cascaded Image Sensing, Advanced Computing and Interfacing Systems, Elsevier Journal of Computer Standards & Interfaces, DOI:10.1016/j.csi.2011.02.001, 2011.
  • Rätsch, G. Teschke, S. Romdhani, and T. Vetter. Wavelet Frame Accelerated Reduced Support Vector Machines, IEEE Transactions on Image Processing, Vol. 17 No. 12, pp 2456-2464, Dec. 2008.

 

Full List: 2017

  • Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving, Journal of Computers (JCP), vol.13(4), pp. 393-400, (ISSN: 1796-203X). San Bernardino, CA, 2018. (otto-johansen-price) [DOI: 10.17706/jcp.13.4.393-400, pdf]
  • Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (to appear). 2017
  • Schreve, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Videometrics, Range Imaging, and Applications Conference (SPIE), Munich, 2017 [DOI: 10.1117/12.2270163]
  • Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving, Journal of Computers (JCP), vol.13(4), pp. 393-400, (ISSN: 1796-203X). San Bernardino, CA, 2018. (otto-johansen-price) [DOI: 10.17706/jcp.13.4.393-400, pdf]
  • Schneider, M. Jasch, B. Fröhlich, T. Weber, U. Franke, M. Pollefeys, M. Rätsch. Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection. SCIA (to appear). 2017
  • Schreve, M. Rätsch. Localisation Accuracy of Semi-dense Monocular SLAM. Videometrics, Range Imaging, and Applications Conference (SPIE), Munich, 2017 [DOI: 10.1117/12.2270163]

2016

  • Jasch, T. Weber, M. Rätsch. Fast and Robust RGB-D Scene Labeling for Autonomous Driving (to appear), 2nd International Conference on Systems, Control and Communications (ICSCC), Journal of Computers (JCP, ISSN: 1796-203X), Bangkok. 2016. (journal award, Otto-Johansen-Price, keynote speech)
  • Huber, W. Christmas, J. Kittler, P. Kopp, M. Rätsch. Real-time 3D Face Fitting and Texture Fusion on In-the-wild Videos, IEEE Signal Processing Letters (Print ISSN: 1070-9908, Online ISSN: 1558-2361), (to appear) 2016 [IEEE] [Preprint PDF] [DOI: 10.1109/LSP.2016.2643284]
  • Grupp, P. Kopp, P. Huber, M. Rätsch. A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment, 20th International Symposium of the RoboCup World Championships 2016, Lecture Notes in Artificial Intelligence (LNAI, ISSN 0302-9743), (to appear) 2016 [RoboCup Pro.] [Preprint PDF]
  • Huber, W. Christmas, M. Rätsch, A. Hilton, J. Kittler. Real-time 3D Face Super-resolution From Monocular In-the-wild Videos, SIGGRAPH, 2016, Anaheim, United States [ACM] [Abstract (PDF)] [Poster (PDF)] [YouTube video]
  • Huber, G. Hu, R. Tena, P. Mortazavian, W. Koppen, W. Christmas, M. Rätsch, J. Kittler. A Multiresolution 3D Morphable Face Model and Fitting Framework, International Conference on Computer Vision Theory and Applications (VISAPP), vol. 4, pp. 79-86 (ISSN: 978-989-758-175-5), Rome, Italy. 2016. [DOI: 10.5220/0005669500790086] [Preprint PDF] [BibTeX] [Code (GitHub)]
  • Wittig, U. Kloos, M. Rätsch. Emotion Model Implementation for Parameterized Facial Animation in Human-Robot-Interaction, International Conference on Computer Technology and Development (ICCTD), Journal of Computers, vol. 11, no. 6, pp. 439-445 (JCP, ISSN: 1796-203X), Singapore. 2016. (journal award)

2015

  • Kopp, M. Grupp, P. Huber, M. Rätsch. Person Tracking and 3D Model-based Face Analysis for Robust Human-Robot Interaction, Research Report Baden-Württemberg, Vol. WS15/16, ISSN 2199-4889, pp 52-54. 2015
  • Huber, Z. Feng, W. Christmas, J. Kittler, M. Rätsch. Fitting 3D Morphable Models using Local Features, IEEE International Conference on Image Processing (ICIP), pp 1195 - 1199, 2015, Québec City, Canada ("top 10%" paper award) [DOI: 10.1109/ICIP.2015.7350989] [IEEE] [Preprint PDF (arXiv)] [BMVA meeting slides]
  • Wittig, M. Rätsch, U. Kloos. Parameterized Facial Animation for Socially Interactive Robots, Human and Computer (M&C), pp 355-358. 2015.
  • Kopp, M. Grupp, P. Poschmann, H.-J. Böhme, M. Rätsch. Tracking System with Pose-Invariant Face Analysis for Human-Robot Interaction, Informatics Inside Conference for Human-Centered Computing, pp 70-71. 2015
  • Wittig, U. Kloos, M. Rätsch. Animation of Parameterized Facial Expressions for Collaborative Robots, Informatics Inside Conference for Human-Centered Computing, pp 72-73. 2015 (award)

2014

  • Poschmann, P. Huber, M. Rätsch, J. Kittler, H.-J. Böhme. Fusion of Tracking Techniques to Enhance Adaptive Real-time Tracking of Arbitrary Objects, Conference on Intelligent Human Computer Interaction (IHCI), 2014, Evry, France [DOI: 10.1016/j.procs.2014.11.025] [ScienceDirect] [PDF: Poster, Paper] [Source code on Github]
  • Huber, J. Kittler, M. Rätsch. Bottom-up and Top-down Face Analysis based on 3D Face Models, Informatics Inside Conference for Human-Centered Computing, pp 138. 2014 (award)
  • Rätsch, P. Quick, P. Huber, T. Frank, and T. Vetter. Wavelet Reduced Support Vector Regression for Efficient and Robust Head Pose Estimation, Proceedings of the Ninth Conference on Computer and Robot Vision (CRV 2012), pp 260-267, Toronto, Canada, June 2012.
  • Rätsch, C. Blumer, T. Vetter, and G. Teschke. Efficient Object Tracking by Condentional and Cascaded Image Sensing, Advanced Computing and Interfacing Systems, Elsevier Journal of Computer Standards & Interfaces, doi:10.1016/j.csi.2011.02.001, 2011.
  • Rätsch, C. Blumer, G. Teschke, and T. Vetter. 3D Cascaded Condensation Tracking for Multiple Objects, Signal Processing, Pattern Recognition and Application: SPPRA’10, pp 361-368. Innsbruck, Austria. 2010.
  • Rätsch, C. Blumer, G. Teschke, and T. Vetter. Coarse-to-fine Particle Filters for Multi-Object Human-Machine Interaction, IEEE Intelligent Data Acquisition and Advanced Computing Systems: IDAACS'09, pp 440-445, Rende, Italy. 2009. (journal award)
  • Rätsch, G. Teschke, S. Romdhani, and T. Vetter. Wavelet Frame Accelerated Reduced Support Vector Machines, IEEE Transactions on Image Processing, Vol. 17 No. 12, pp 2456-2464, Dec. 2008.
  • Rätsch. Wavelet Frame Accelerated Reduced Vector Machine for Efficient Image Analysis in HMI Applications, Phd-Thesis, University of Basel, Department Computer Science, July 2008.
  • Rätsch, S. Romdhani, G. Teschke, and T. Vetter. Over-complete Wavelet Approximation of a Support Vector Machine for Efficient Classification. DAGM'05: 27th Pattern Recognition Symposium, Vienna. 2005.
  • Rätsch. Fast Detection Module for Face Detection in Images. High Performance Online Image Search. I-Search: BMBF, DLR: 01 IR B02 B. Kaiserslautern, Oct. 2005.
  • Rätsch, S. Romdhani, and T. Vetter. Efficient Face Detection by a Cascaded Support Vector Machine using Haar-like Features. DAGM'04: 26th Pattern Recognition Symposium, Tübingen. pp 62-70, 2004.
  • Rätsch. Digital Image Processing to Eliminate Bondings by Touching Characters. Diploma thesis, Computer Science Department, University of Potsdam, 2002.
  • Rätsch. Digital Image Processing for the Pre-processing of Images for Optical Character Recognition Systems. Research fellowship thesis, Industry Research Foundation Köln, 1997.
  • Rätsch. Domino-Simulation in der logischen Programmiersprache PROLOG. Technical paper, Computer Science Department, University of Potsdam, June 1996.
  • Rätsch. Preprocessing of Images to Improve Optical Character Recognition Systems. Intermediate diploma thesis, Computer Science Department, University of Potsdam, Nov. 1996.
  • Herklotz, S. Ramp, and M. Rätsch. Flying Objects - Simulation eines Flugbüros. Umsetzung des Software-Engineering-Konzepts von Prof. E. Horn. Technical paper, Computer Science Department, University of Potsdam, Feb. 1996.
  • Rätsch. Numerische Verfahren zur Berechnung von Gleichgewichtskonstanten von Elektronen-Donator-Akzeptor-Komplexen. German State Exam thesis (Master of education for math and physics), Department of Numerical Mathematics and Physics, University of Potsdam, Jan. 1994.

 

 

 

 

 

Vita

  • Akademischer Werdegang:

    • 2013 Berufung an die Hochschule Reutlingen – Professur Image Understanding, Interactive Robotics, Computer Science – Head RT-Lions RoboCup Team
    • 2008 Promotion am Departement Informatik der Universität Basel (Schweiz) – Arbeitsgruppe Thomas Vetter (GraVis) – Face Analysis, 3d Morphable Models
    • 2002 Diplom-Informatiker an der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam
    • 1994 Mathematik, Physik und Informatik Lehramtsstudium an der Universität Potsdam

  • Berufstätigkeit:

    • 2008 – 2013 Mitarbeiter der Firma Cognitec Systems GmbH – Weltführer für Face Analysis
    • 2007 – 2010 Wissenschaftlicher Mitarbeiter am Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB) und Hochschule Neubrandenburg – Angewandte Mathematik
    • 2001 – 2003 Mitarbeiter der WiSenT GmbH – Computer Vision, Machine Learning
    • 1999 – 2001 Mitarbeiter der CONTEX Technology GmbH – Image Processing, Machine Learning

  • Auslandsaufenthalt:

    • 2003 – 2008 Schweiz
    • 1992 – 1993 Großbritannien

  • Patente und Schutzrechte:

    • DE195 33 585: Verfahren zur Segmentierung von Zeichen basierend auf det. endl. Automaten für eine optimale optische Texterfassung.

Projekte

 Eine Liste der Forschungs-, Projekt- und Thesisthemen finden Sie hier.

  • Industrie- und Fördermittelprojekte:

    • Drittmittelprojekte in der Automotive Industry, Robotics, Human-Robot-Collaboration, Face Analysis, Ambient Assisted Living, ADAS, eBikes mit BOSCH Automotive Electronics - Service Robotics u. APAS, Kuka, ABB, SIEMENS, Daimler, Cognitec, Bruderhaus Diakonie uva. KMUs
    • Beispiele: KollRo 4.0 (Kollaborative Robotik, MRK, SLAM; BMBF, BOSCH), FMfFR/ACI/FAoV (Face Models for Face Recognition, Active Closer Inspection System, Face Analysis in Videostreams; COG), Face-HMI (BMBF, SAB, COG, HTW), RTMO (BMBF, HsNB), GES-3D (BMBF, COG, L1), I-Search (BMBF, UniBas)

  • RoboCup:

    • Head RC-Team RT-Lions der HsRT (Weltmeister, Deutscher Meister, amtierender Vizeweltmeister, Umstieg auf RC@Home League)

Forschungsthemen
  • Image Understanding, Maschinelles Lernen, Künstliche Intelligenz, Cyber-Physische Systeme
  • Mensch-Maschine-Interaktion, Mensch-Roboter-Kollaboration, Personalisierte Assistenz u. Service Systeme, Non-verbale Kommunikation, Gesichts-/Emotions-/Körper- u. Handgestenerkennung und -Animation
  • Shape from Shading (3D Morphable Models) und Structure from Motion für Face Modeling and Analysis
  • RGB-D u. Monokulare SLAM Verfahren in Zusammenarbeit mit BOSCH u. TUM für autonome Navigation/Lokalisation

Christian Wappler

Mail senden »

Thomas Weber

Gebäude 4
Raum 4-105
Tel. +49 7121 271-7098
Mail senden »