Profile of Thomas Stephani (Born Weibel)

Fields of Activity / Competences

  • Markov Random Field Models for Computer Vision
  • Visual Correspondence Estimation (Stereo, Motion)
  • Photomontage, Stitching
  • Projective Geometry
  • Software Development in C++ / Matlab



Major Publications

  • Stephani, H.; Weibel, T.; Rösch, R.; Moghiseh, A.:
    Challenges and approaches when realizing online surface inspection systems with deep learning algorithms.
    Discover Data: Volume 1, Article number: 3 (2023)
  • Müller, O.; Fend, C.; Moghiseh, A.; Schladitz, K.; Stephani, H.; Weibel, T.:
    Deep learning for image based shelve inventories.
    10th International Symposium on Signal, Image, Video and Communications, ISIVC 2020: Saint-Etienne, France, 7–9 April 2021. Piscataway, NJ: IEEE, 2021
  • S. Ali, C. Daul, T. Weibel, and W. Blondel: 
    Fast mosaicing of cystoscopic images from dense correspondence: combined SURF and TV-L1 optical flow method. 
    In 20th International Conference on Image Processing (ICIP), pages 1291-1295, September 2013. Melbourne, Australien.
  • T. Weibel, C. Daul, D. Wolf, R. Rösch, and F. Guillemin:
    Graph based construction of textured large field of view mosaics for bladder cancer diagnosis. 
    Pattern Recognition, 45(12):4138 – 4150, 2012
  • T. Weibel, C. Daul, D. Wolf, and R. Rösch: 
    Contrast-enhancing seam detection and blending using graph cuts. 
    In 21st International Conference on Pattern Recognition (ICPR), pages 2732–2735, November 2012. Tsukuba, Japan (Oral presentation)

A collection of publications by Thomas Weibel in the Fraunhofer-Publica