Wolfgang Fuhl

Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard Institut fĂĽr Informatik
Lehrstuhl Technische Informatik
Sand 14, C206
72076 TĂĽbingen

Telefon: +49 (7071) 29-70492

E-Mail: fuhl

Sprechstunde: nach Vereinbarung

Kontakt-Formular

Lehrveranstaltungen

  • Praktikum „programmieren mobiler Eingebetteter Systeme", WS14/15, WS15/16, WS16/17
  • Programmierprojekt „Drahloses Informations- und Aktionssystem“, SS14, SS15, SS16
  • Betreuung der Ăśbung und Erstellung der Ăśbungsblatter fĂĽr die erste Vorlesung von „Eye Movements and Visual Perception“ WS14/15
  • Seminar: „Machine Learning and Artificial Neural Networks in Biomedical Applications“, WS14/15
  • Zusammenstellung aller Themen fĂĽr Seminar: „Computational models of visual attention“, SS15
  • Pro Seminar: „Technische Anwendungen der Informatik: Hard- und Software aktueller Eye-Tracking-Systeme“, SS16
  • Seminar: „Computational models of visual attention“, SS16

Publikationen

 Alle Publikationen im BibTex-Format

    2017

      2017
      • S. Eivazi, A. Hafez, W. Fuhl, H. Afkari, E. Kasneci, M. Lehecka, R. Bednarik
          Optimal eye movement strategies: a comparison of neurosurgeons gaze patterns when using a surgical microscope
        Acta Neurochirurgica, 159 (6), p.959–966
      Mai 2017
      • T. Santini, W. Fuhl, E. Kasneci
         CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction
        Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
      • W. Fuhl, T. C. KĂĽbler, D. Hospach, O. Bringmann, W. Rosenstiel, E. Kasneci
          Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection
        Journal of Eye Movement Research, 10 (3)
      März 2017
      • W. Fuhl, T. Santini, E. Kasneci
          Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios
        IEEE Winter Conference on Applications of Computer Vision (WACV 2017)
      • Shahram Eivazi, Michael Slupina, Wolfgang Fuhl, Hoorieh Afkari, Ahmad Hafez, Enkelejda Kasneci
          Towards automatic skill evaluation in microsurgery
        Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017, ACM
      • Shahram Eivazi, Wolfgang Fuhl, Enkelejda Kasneci
          Towards Intelligent Surgical Microscopes: Surgeons’ Gaze and Instrument Tracking
        Proceedings of the 22st International Conference on Intelligent User Interfaces, IUI 2017, ACM
      Februar 2017
      • W. Fuhl, T. Santini, D. Geisler, T. KĂĽbler, E. Kasneci
          EyeLad: Remote Eye Tracking Image Labeling Tool
        12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017)
      • T. Santini, W. Fuhl, D. Geisler, E. Kasneci
          EyeRecToo: Open-Source Software for Real-Time Pervasive Head-Mounted Eye-Tracking
        12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017)
      • D. Geisler, W. Fuhl, T. Santini, E. Kasneci
          Saliency Sandbox: Bottom-Up Saliency Framework
        12th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017)

      2016

        Dezember 2016
        • W. Fuhl, T. Santini, C. Reichert, D. Claus, A. Herkommer, H. Bahmani, K. Rifai, S. Wahl, E. Kasneci
            Non-Intrusive Practitioner Pupil Detection for Unmodified Microscope Oculars
          Computers in Biology and Medicine, 79, p.36–44
        Oktober 2016
        • T.C. KĂĽbler, W. Fuhl, R. Rosenberg, W. Rosenstiel, E. Kasneci
            Novel methods for analysis and visualization of saccade trajectories
          ECCV Workshop VISART 2016
        September 2016
        • W. Fuhl, D. Geisler, T. Santini, E. Kasneci
            Evaluation of State-of-the-Art Pupil Detection Algorithms on Remote Eye Images
          ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication -- PETMEI 2016
        • W. Fuhl, T. Santini, D. Geisler, T. KĂĽbler, W. Rosenstiel, E. Kasneci
            Eyes Wide Open? Eyelid Location and Eye Aperture Estimation for Pervasive Eye Tracking in Real-World Scenarios
          ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication -- PETMEI 2016
        • H. Bahmani, W. Fuhl, E. Gutierrez, E. Kasneci, S. Wahl
           Feature-based attentional influences on the accommodation response
          Vision Sciences Society Annual Meeting Abstract
        Juni 2016
        • Wolfgang Fuhl, Marc Tonsen, Andreas Bulling, Enkelejda Kasneci
            Pupil detection for head-mounted eye tracking in the wild: An evaluation of the state of the art
          Machine Vision and Applications, p.1-14
        März 2016
        • T. Santini, W. Fuhl, T. KĂĽbler, E. Kasneci
            Bayesian Identification of Fixations, Saccades, and Smooth Pursuits
          Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), p.163--170
        • W. Fuhl, T. Santini, T. KĂĽbler, E. Kasneci
            ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments
          Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (ETRA), p.123--130
        Februar 2016
        • T. Santini, W. Fuhl, T. C. KĂĽbler, E. Kasneci
            EyeRec: An Open-source Data Acquisition Software for Head-mounted Eye-tracking
          Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Vol.3: VISAPP, p.386--391

        2015

          September 2015
          • W. Fuhl, T. C. KĂĽbler, K. Sippel, W. Rosenstiel, E. Kasneci
              ExCuSe: Robust Pupil Detection in Real-World Scenarios
            16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015)
          August 2015
          • W. Fuhl, T. C. KĂĽbler, K. Sippel, W. Rosenstiel, E. Kasneci
             Arbitrarily shaped areas of interest based on gaze density gradient
            European Conference on Eye Movements, ECEM 2015
          März 2015
          • E. Kasneci, T.C. KĂĽbler, C. Braunagel, W. Fuhl, W. Stolzmann, W. Rosenstiel
              Exploiting the potential of eye movements analysis in the driving context
            15. Internationales Stuttgarter Symposium Automobil- und Motorentechnik, Springer Fachmedien Wiesbaden
          Januar 2015
          • K. Sippel, T.C. KĂĽbler, W. Fuhl, G. Schievelbein, R. Rosenberg, W. Rosenstiel [Best paper award]
              Eyetrace2014: Eyetracking Data Analysis Tool
            8th International Conference on Health Informatics, Healthinf 2015
          Publikationen ohne Monatsangabe 2015
          • T. C. KĂĽbler, K. Sippel, W. Fuhl, G. Schievelbein, J. Aufreiter, R. Rosenberg, W. Rosenstiel, E. Kasneci
               Analysis of eye movements with Eyetrace
            Biomedical Engineering Systems and Technologies. Communications in Computer and Information Science (CCIS). Springer International Publishing

          Offene studentische Arbeiten

          1. Vein extraction and eye rotation determination
          2. EyeTrace CUDA extesion
          3. 3D Eyeball generation based on vein motion

          Vein extraction and eye rotation determination

          The first step is setting up an recording environment with fixed subject position. This
          environment is used for data acquisition with predefined head rotations of the subjects. Based on this data an algorithm has to be developed measuring the eyeball rotation of the subject. The resulting angle is then compared and validated based on the head rotation.

          EyeTrace CUDA extesion

          EyeTrace is a software for gaze data visualization and analysis. Due to the increasing amount of data these visualizations need more computation time. In this thesis existing visualizations should be implemented using CUDA for GPU computations. Additionally this includes a data storage model making it possible to shift the data between the GPU and the host computer.
          Due to the fact that nowadays not all computers have a CUDA capable card the modul should also allow CPU computations. This should be determined automatically by the module.

          3D Eyeball generation based on vein motion

          The first step is robust feature extraction. This can be done using SURF, SIFT, BRISK
          or MSER features if sufficient. Those features have to be mapped on features found in
          consecutive images. Based on the displacement a 3D model has to be computed. This model is used afterwards for gaze position estimation.