Topic Summerterm 19: Aerial Image Analysis Lessons take place in Seminarraum FAV 01 A on Fridays 14:45 – 16:15 and 16:30 – 18:00 s.t. March 15, 2019: Introduction, CV, and Oral Presentations Introduction to course Speaking exercise: students introduce themselves Topic: Writing CVs Topic: Planning and holding oral presentations Assignments: Write CV (see example in TISS), … Continue reading Preliminary Schedule of Lessons
Books and Journal Articles Pramerdorfer Ch, Kampel M., “3D upper-body pose estimation for detecting unhealthy sitting postures at the workplace”, submitted to Pattern Recognition Letters – Special Issue on Learning and Recognition for Assistive Computer Vision, June 2018. Halmetschlager‐Funek G., Suchi M., Kampel M. and Vincze M., “An Empirical Evaluation of Ten Depth Cameras: Bias, … Continue reading Martin Kampel
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
3D Vision VO Zeitplan Die Vorlesung findet blockweise am Dienstag von 15:00 – 17:00 , sowie Donnerstag und Freitag von 12:00 bis 14:00 im FAV Hörsaal 1 (Favoritenstr. 9-11, Erdgeschoß Raumnummer: HEEG02) statt. Es folgt eine (vorläufige) Aufstellung der Lehrinhalte: 12.3.19: Organisatorisches, Ziele der LVA Organisation: Ziele der Lehrveranstaltung, Ablauf der Übung Einleitung: Was ist Maschinelles Sehen, Robot … Continue reading Zeitplan
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
16.10.18: Vorbesprechung: Einleitung, Ablauf der LVA Vorstellung der Teilnehmer Organisatorisches, Funktionsvergabe 23.10.18: Wissenschaftliches Arbeiten: Literaturrecherche – wie finde ich relevante Literatur? ToDo (bis 29.10.18): Auswahl und Durchlesen von (mind.) 2 Papers zum eigenen Thema. Aussagen aus den gelesenen Papers formulieren, die für die eigene Arbeit verwendet werden sollen (siehe Vorlage) Senden der Aussagen der gewählten … Continue reading Zeitplan
Preliminary Schedule of Lessons Lessons take place in Seminarraum 183/2 on WE 13:00 – 15:00 c.t. and FR 10:00 – 12:00 c.t. October 10 2018: Introduction, CH and CV Introduction to course October 17 2018: 2D Acquisition Methods: Digital Clinical Chart Image Formation: Geometry, Radiometry Cameras Techniques for CH Acquisition October 24 2018: 2D Acquisition … Continue reading Schedule
The CVL ruling dataset was synthetically generated to allow for comparing different ruling removal methods. It is based on the ICDAR 2013 Handwriting Segmentation database [1]. It was generated by synthetically adding four different ruling images resulting in a total of 600 test images. The pixel values are: 255 background 155 ruling 100 text 0 … Continue reading Ruling Database