Zur Hauptnavigation / To main navigation

Zur Sekundärnavigation / To secondary navigation

Zum Inhalt dieser Seite / To the content of this page

  • EN

Hauptnavigation / Main Navigation

Sekundärnavigation / Secondary navigation

Dr. Jan Henrik Fitschen

Inhaltsbereich / Content

Dr. Jan Henrik Fitschen

New affiliation

Dr. Jan Henrik Fitschen
Ibeo Automotive Systems GmbH
Merkurring 12
22413 Hamburg

https://www.ibeo-as.com/

PhD thesis

Variational Models in Image Processing with Applications in the Materials Sciences


Publications

  • X. Cai and J. H. Fitschen and M. Nikolova and G. Steidl and M. Storath (2015).
    Disparity and Optical Flow Partitioning Using Extended Potts Priors.
    IMA Journal of Information and Inference. 4, (1), 43-62.
    [doi] [www] [BibTex]

  • F. Balle and D. Eifler and J. H. Fitschen and S. Schuff and G. Steidl (2015).
    Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-type Functionals.
    Scale Space and Variational Methods in Computer Vision. Aujol, Jean-François and Nikolova, Mila and Papadakis, Nicolas (eds.) Lecture Notes in Computer Science 9087, 385-396.
    [doi] [www] [BibTex]
  • J. H. Fitschen and M. Nikolova and F. Pierre and G. Steidl (2015).
    A Variational Model for Color Assignment.
    Scale Space and Variational Methods in Computer Vision. Aujol, Jean-François and Nikolova, Mila and Papadakis, Nicolas (eds.) Lecture Notes in Computer Science 9087, 437-448.
    [doi] [www] [BibTex]
  • J. H. Fitschen and F. Laus and G. Steidl (2015).
    Dynamic Optimal Transport with Mixed Boundary Condition for Color Image Processing.
    International Conference on Sampling Theory and Applications (SampTA), 2015. 558-562.
    [doi] [www] [BibTex]

  • J. H. Fitschen and F. Laus and G. Steidl (2016).
    Transport between RGB Images Motivated by Dynamic Optimal Transport.
    Journal of Mathematical Imaging and Vision. 56, (3), 409-429.
    [doi] [www] [BibTex]

  • R. Bergmann, J. H. Fitschen J. Persch, G. Steidl (2017).
    Iterative Multiplicative Filters for Data Labeling.
    International Journal of Computer Vision. 123, (3), 435-453.
    [doi] [www] [BibTex]

  • J. H. Fitschen and J. Ma and S. Schuff (2017).
    Removal of Curtaining Effects by a Variational Model with Directional Forward Differences.
    Computer Vision and Image Understanding. 155, 24-32.
    [doi] [www] [BibTex]

  • J. H. Fitschen, K. Losch, G. Steidl (2017).
    Unsupervised Multi Class Segmentation of 3D Images with Intensity Inhomogeneities.
    Journal of Visual Communication and Image Representation. 46, 312-323.
    [doi] [www] [BibTex]

  • J. H. Fitschen and F. J. Laus and B. Schmitzer (2017).
    Generalized Optimal Transport for Manifold-Valued Images.
    Scale Space and Variational Methods in Computer Vision. Lauze, Francois and Dong, Yiqiu and Dahl, Anders Bjorholm (eds.) Lecture Notes in Computer Science 10302, 460-472.
    [doi] [www] [BibTex]
  • R. Bergmann and J. H. Fitschen and J. Persch and G. Steidl (2017).
    Infimal Convolution Type Coupling of First and Second Order Differences on Manifold-Valued Images.
    Scale Space and Variational Methods in Computer Vision. Lauze, Francois and Dong, Yiqiu and Dahl, Anders Bjorholm (eds.) Lecture Notes in Computer Science 10302, 447-459.
    [doi] [www] [BibTex]
  • Dr. J. Fitschen June (2017).
    Variational Models in Image Processing with Applications in the Materials Sciences.
    TU Kaiserslautern
    [BibTex]

Accepted

Preprints

  • F. Balle, T. Beck, D. Eifler, J. H. Fitschen, S. Schuff, G. Steidl (2017).
    Strain Analysis by a Total Generalized Variation Regularized Optical Flow Model.
    ArXiv Preprint 1704.06028.
    [www] [BibTex]

Conferences / Workshops