2020 Pramerdorfer C., Kampel M., “Deep Learning from Synthetic Depth Data: A Case Study”, International Conference on Computer Vision Theory and Applications, Valetta, Malta, February 2020 2019 Pramerdorfer C., Kampel M., Kreissl R., “Behavior Detection as a Privacy-Enhancing Security Technology in Prison Cells”, International Conference on Imaging for Crime Detection and Prevention, London, UK, December … Continue reading Christopher Pramerdorfer →

Publications Year Reference 2019 D. Sobotka, R. Licandro, M. Ebner, E. Schwartz, T. Vercauteren , S. Ourselin,  G. Kasprian, D. Prayer, G. Langs, „Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI”, Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, LNCS volume 11798, Springer, Cham, ISBN: 978-3-030-32874-0, DOI: https://doi.org/10.1007/978-3-030-32875-7, October 2019. 2019 … Continue reading Roxane Licandro →

Books and Journal Articles   Halmetschlager‐Funek G., Suchi M., Kampel M. and Vincze  M. “An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments”,  in IEEE Robotics and Automation Magazine, (99):1-1, DOI: 10.1109/MRA.2018.2852795 2018. Kampel M., Sarkisjan J. “Pottery data quantification”, in The … Continue reading Martin Kampel →

Helm D., Kampel M. (2019) Shot Boundary Detection for Automatic Video Analysis of Historical Films. In: Cristani M., Prati A., Lanz O., Messelodi S., Sebe N. (eds) New Trends in Image Analysis and Processing – ICIAP 2019. ICIAP 2019. Lecture Notes in Computer Science, vol 11808. Springer, Cham Helm D., Kampel M., “Automatic video analysis … Continue reading Daniel Helm →

    1994 Leiden, The Netherlands, ERASMUS exchange program, Sept. 28, Presentation 1995 Eindhoven, The Netherlands, “COMETT exchange program”, Sept. 30, Presentation 1997 Surrey, United Kingdom, “Erasmus Intensive Program”, Jun. 2-6, Workshop 1998 Budapest, Hungary, “CEEPUS Exchange Program”, May 5, Presentation Illmitz, Austria, “OAGM98: 22st Workshop of the AUSTRIAN ASSOCIATION FOR PATTERN RECOGNITION”, May 14-15 … Continue reading Martin Kampel – Presentations →

Publications Year Reference 2018 Atanasov M., Kampel M., “Automated Determination of Gait Parameters Using Depth Based Person Tracking”, 16th IEEE Int. Conference on Embedded and Ubiquitous Computing, ISBN: 978-1-5386-8295-1; pp. 96-102, Bucharest (Romania), October 2018. 2016 Wetzinger E., Atanasov M., Kampel M., “Person Profiling Using Image and Facial Attributes Analyses on Unconstrained Images Retrieved from … Continue reading Michael Atanasov →

2018 Hollaus, F., Diem, M., Sablatnig, R., “MultiSpectral Image Binarization using GMMs“, in: Zanibbi, R., Manmatha, R., Govindaraju, V., Viard-Gaudin, C., Oliveira, L.S., Pal, U., (Eds.), “ of 16th Intl. Conf. on Frontiers in Handwriting Recognition (ICFHR2018)”, Niagara Falls, New York, USA, 5-8 August, pp. 570-575, 2018. 2017 Hollaus, F., Sablatnig, R., “MultiSpectral Imaging for … Continue reading Fabian Hollaus Publications →

Markus Diem 2016 [39] Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, and Michael Dworzak, Clustering of Cell Populations in Flow Cytometry Data using a Combination of Gaussian Mixtures. Pattern Recognition, 60, 1029-1040, 2016 [38] Markus Diem, Fabian Hollaus, and Robert Sablatnig. MSIO: MultiSpectral Document Image BinarizatIOn. In Proceedings of the 12th IAPR … Continue reading Markus Diem Publications →

See my orcid.org/0000-0001-8351-5066

Theses Zambanini S. “Insensitive Image Comparison in the Absence of Training Data”, PhD Thesis, Vienna University of Technology, October 2014. (pdf) Zambanini S., “Automatic Assessment of Lesion Development in Hemangioma Follow-Up Images”, Master Thesis, Vienna University of Technology, 2007.(pdf) Book Chapters Kampel M., Zambanini S., “Shape Analysis and Geometric Modelling” in Mathematics and Archaeology, Juan A. … Continue reading Sebastian Zambanini Publications →