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Dipl. Math. Björn Scheuermann
Björn Scheuermann left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.

Björn Scheuermann studied Mathematics and Computer Science at the Leibniz University of Hannover. He received his Dipl.-Math. degree from the Leibniz University of Hannover in September of 2008. His diploma thesis "Komplexe regionenbasierte Segmentierungsverfahren mit der Level-Set-Methode in der medizinischen Bildverarbeitung" dealt with the segmentation in medical datasets using the level set method.
Since then he has been working as a research assistant toward a PhD degree at the 'Institut für Informationverarbeitung' at the Leibniz University of Hanover. His research interests are segmentation, tracking, motion capture and mobile computer vision.

Research Interests


Show selected publications only
  • Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred O. Effenberg, Bodo Rosenhahn
    On-The-Fly Handwriting Recognition using a High-Level Representation
    The 16th International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science (LNCS), Valetta, Malta, September 2015
  • Hanno Ackermann, Björn Scheuermann, Tat-Jun Chin, Bodo Rosenhahn
    Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights
    10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer Lecture Notes in Computer Sciences (LNCS), Hong Kong, China, 2015
  • Matthias Reso, Björn Scheuermann, Jörn Jachalsky, Bodo Rosenhahn, Jörn Ostermann
    Interactive Segmentation of High-Resolution Video Content using Temporally Coherent Superpixels and Graph Cut
    Advances in Visual Computing, The final publication is available at link.springer.com, Springer-Verlag, Las Vegas, NV, USA, December 2014
  • Björn Scheuermann, Bodo Rosenhahn
    Multi-Sensor Fusion for Video Segmentation
    International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, Vol. 28, No. 7, p. 14, October 2014
  • J.R. Ziehn, B. Rosenhahn, M. Ruf, B. Scheuermann
    Verfahren zum Steuern eines Fahrzeugs, Vorrichtung zum Erzeugen von Steuersignalen für ein Fahrzeug und Fahrzeug
    patent application DE102013225057 A1, December 2013
  • Arne Ehlers, Björn Scheuermann, Florian Baumann, Bodo Rosenhahn
    Cleaning Up Multiple Detections Caused by Sliding Window Based Object Detectors
    18th Iberoamerican Congress on Pattern Recognition (CIARP), Havanna, Cuba, November 2013
  • Björn Scheuermann and Sotirios Gkoutelitsas and Bodo Rosenhahn
    Multi-Sensor Fusion using Dempster's Theory of Evidence for Video Segmentation
    18th Iberoamerican Congress on Pattern Recognition (CIARP), Havanna, Cuba, November 2013
  • Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
    Foreground Segmentation from Occlusions using Structure and Motion Recovery
    Computer Vision, Imaging and Computer Graphics. Theory and Applications, Communications in Computer and Information Science (CCIS), Springer Berlin/Heidelberg, Vol. 359, pp. 340--353, May 2013, edited by Gabriela Csurka et al.
  • Oliver Jakob Arndt, Björn Scheuermann, Bodo Rosenhahn
    "Region Cut" - Interactive Multi-Label Segmentation Utilizing Cellular Automaton
    IEEE Workshop on Applications of Computer Vision (WACV), Clearwater Beach, Florida, USA, January 2013
  • Björn Scheuermann, Markus Schlosser, Bodo Rosenhahn
    Efficient Pixel-Grouping based on Dempster's Theory of Evidence for Image Segmentation
    The 11th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 7726, Daejeon, Korea, November 2012, edited by Kyoung Mu Lee, Jim Rehg, Yasuyuki Matsushita, and Zhanyi Hu
  • Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
    Learning Object Appearance from Occlusions using Structure and Motion Recovery
    The 11th Asian Conference on Computer Vision (ACCV), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, Vol. 7726, pp. 611--623, Daejeon, Korea, November 2012, edited by Kyoung Mu Lee, Jim Rehg, Yasuyuki Matsushita, and Zhanyi Hu
  • Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
    Occlusion Handling for the Integration of Virtual Objects into Video
    The 7th International Conference on Computer Vision Theory and Applications (VISAPP), SciTePress, pp. 173--180, Rome, Italy, February 2012, edited by Gabriela Csurka and José Braz
  • Björn Scheuermann and Bodo Rosenhahn
    SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction
    Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), July 2011
  • Björn Scheuermann and Arne Ehlers and Hamon Riazy and Florian Baumann and Bodo Rosenhahn
    Ego-Motion Compensated Face Detection on a Mobile Device
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops; The Seventh IEEE Workshop on Embedded Computer Vision (ECVW2011), June 2011
  • Björn Scheuermann and Bodo Rosenhahn
    Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
    Scandinavian Conference on Image Analysis, Springer, Heidelberg, Vol. 6688, pp. 656--665, 2011, edited by Anders Heyden and Fredrik Kahl
  • Karsten Vogt, Björn Scheuermann, Christian Becker, Torsten Büschenfeld, Bodo Rosenhahn, Jörn Ostermann
    Automated Extraction of Plantations from Ikonos Satellite Imagery using a Level Set Based Segmentation Method
    ISPRS Technical Commission VII Symposium, International Society for Photogrammetry and Remote Sensing, Vol. 38, No. 7, pp. 275-280, 2010
  • Tobias Feldmann, Björn Scheuermann, Bodo Rosenhahn, Annika Wörner
    N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments
    DAGM 2010,32nd Annual Symposium of the German Association for Pattern Recognition, Springer, Vol. 6376, pp. 363-372, Darmstadt, 2010, edited by Michael Goesele and Stefan Roth and Arjan Kuijper and Bernt Schiele and Konrad Schindler
  • Björn Scheuermann and Bodo Rosenhahn
    Feature quarrels: The Dempster-Shafer Evidence Theory for Image Segmentation Using a Variational Framework
    Asian Conference on Computer Vision (ACCV), Part II, LNCS , Springer-Verlag, Berlin Heidelberg, Vol. 6493, pp. 426-439, Queenstown, New Zealand, 2010, edited by R. Kimmel and R. Klette and A. Sugimoto
  • Björn Scheuermann, Bodo Rosenhahn
    Analysis of Numerical Methods for Level Set Based Image Segmentation
    Advances in Visual Computing, 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part II , Springer, Vol. 5876, pp. 196-207, Las Vegas, Nevada, USA, November 2009, edited by George Bebis and Richard D. Boyle and Bahram Parvin and Darko Koracin and Yoshinori Kuno and et al.
Other activities

Further Information


  • Poster presented at WACV 2013, pdf
  • Poster presented at ACCV 2012, pdf
  • Poster presented at EMMCVPR 2011, pdf
  • Presentation held at ECVW 2011 (CVPR-Workshop), pdf
  • Poster presented at SCIA 2011, pdf
  • Poster presented at DAGM 2010, pdf
  • Poster presented at ACCV 2010, pdf

Educational Activities