#Computer Vision
Computer Vision befasst sich damit, digitale visuelle Inhalte wie Bilder oder Videos automatisch zu erkennen, zu verarbeiten und zu verstehen.
Publikationen
Boucher, M., Blumenstein, K., Oliveira, V. A. D. J., & Seidl, M. (2021). BYOD - Bringing Your Own Device into Single-Surface Interaction Models. TEI 2021. TEI 2021, Salzburg, Austria.
Blumenstein, K. (2020). Interweaving Physical Artifacts with Data Visualization on Digital Media in Museums [Doctoral Dissertation, TU Wien]. https://phaidra.fhstp.ac.at/detail/o:4144
Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/10/ghz24x
Horsak, B., Schwab, C., Leboeuf, F., & Kranzl, A. (2020). Reliability of walking and stair climbing kinematics in a young obese population using a standard kinematic and the CGM2 model. Gait & Posture, 83(96–99). https://doi.org/10.1016/j.gaitpost.2020.10.017
Horsak, B., Simonlehner, M., Schöffer, L., Maureder, J., Schwab, C., Raberger, A. M., Zeller, M., & Husinsky, M. (2020). Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users: A pilot study with healthy individuals. Gait & Posture. ESMAC 29th Annual Meeting, Virtual Meeting. https://doi.org/10.1016/j.gaitpost.2020.07.113
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. Abstractband Des 3. GAMMA Kongress. 3. GAMMA Kongress, München, Deutschland.
Horst, F., Slijepcevic, D., Zeppelzauer, M., Raberger, A. M., Lapuschkin, S., Samek, W., Schöllhorn, W. I., Breiteneder, C., & Horsak, B. (2020). Explaining automated gender classification of human gait. Gait & Posture, 81, 159–160. https://doi.org/10.1016/j.gaitpost.2020.07.114
Petrovic-Majer, S. (2020). Participatory Design & Co - Fragmente einer Sprache. https://soundcloud.com/open_culture_cast/participatory_design?ref=clipboard&p=i&c=0
Koch, D., Despotovic, M., Döller, M., Leiber, S., & Zeppelzauer, M. (2020). Computer Vision in Building Research: An Application for Prediction of Condition and Costs of a Property. Building Research & Information, Submitted.
Seidl, Markus, & Zeppelzauer, Matthias. (2019). Towards Distinction of Rock Art Pecking Styles with a Hybrid 2D/3D Approach. Proceedings of the International Conference on Content-Based Multimedia Indexing (CBMI), 4.