Status: available Supervisor: Simon Brenner Problem Statement The Computer Vision Lab has developed a Multispectral Imaging system for the imaging of ancient manuscripts (see Fig.1), which was continuously used and updated for the last 15 years. In this hands-on internship you will help us further improve the system, both in hard- and software. Goal In … Continue reading Improving a Multispectral Imaging System
Status: available Supervisor: Simon Brenner Problem Statement Multispectral Imaging (MSI) has proven a powerful tool to recover degraded texts in historic manuscripts. In this context, the goal of image enhancement methods is to take the raw multispectral images as input and produce and output image with maximal visibility/legibility of a degraded text. Fig. 1 shows … Continue reading Generative Adversarial Nets (GANs) for the Enhancement of Ancient Manusctripts
Status: available Supervisor: Simon Brenner Problem Statement Naturally, historic manuscripts are valuable sources of information. However, not only the letters and drawings made with ink and pigments hold information, but also the three-dimensional structure of the material itself. Examples of interesting features are ruling lines or textual comments drawn with a hard tool (“hard point … Continue reading 3D Surface Structures of Ancient Manuscripts
Status: availableSupervisor: Simon Brenner Before continuing to read we strongly recommend to let this play in the background: https://www.youtube.com/watch?v=-bTpp8PQSog Introduction Uncountable ancient manuscripts lie in archives, libraries, monastaries and haunted tombs around the world. Unfortunately, the centuries took their toll: due to unsuitable storage conditions, fire- or water damage, clumsy librarians or the recycling of … Continue reading Raiders of the Lost Writings – Investigating Ancient Manuscripts
Supervision Georg Langs, Yason Yee, Karl-Heinz Nenning The Institute of Animal Welfare Science at the University of Veterinary Medicine Vienna (Vetmeduni) is currently offering a short-term research opportunity for motivated students. The candidate should be motivated to learn computational methods for the analysis of magnetic resonance imaging (MRI) data of the brain in pigs. Project … Continue reading Neuroimaging in Pigs
Date: Mon. 13:00 c.t. Place: Seminarraum FAV 01 A (Seminarraum 183/2) This excursion with lecture is an elective course in the Module Applications of Computer Vision and Pattern Recognition in the Visual Computing Master The elective course “Applications of Computer Vision” is a 2h lecture/ excursion combination and is held in winter terms by Robert … Continue reading Applications of Computer Vision (EX)
Termine Vorlesungsteil geblockt: MI, DO und FR jeweils von 13:00 – 15:00, FAV Hörsaal 1 (Institutsgebäude Favoritenstr. 9-11, Erdgeschoß, Raumnummer: HEEG02). (Beginn am 9.10.2019, Ende 29.11.2019) siehe auch Zeitplan Vorlesungsaufzeichnungen sind im TUWEL-Kurs unter ‘Lecture Recordings’ abrufbar. Übungsteil: DO 9:00 – 11:00 sowie 11:00-13:00 im 2-Wochen-Rhythmus, siehe Zeitplan im TUWEL (Beginn am 10.10.2019). Ort: Vorlesungsteil: … Continue reading Computer Vision (VU)
When: Wed 10.00 – 12.00 c.t. Where: Seminarraum 183/2 (map) Course description This course encourages students to select and implement a computer vision project of their choice. Students are free to develop in any programming language they like and to use any publicly available library they want. The only requirement is that the effort for … Continue reading Computer Vision Systems Programming (UE)
When: Wed 10.00 – 12.00 c.t. (schedule) Where: Seminarraum 183/2 (map) News Next deadline/task: 02.10.2019: 1st meeting; 9.10: Lab tasks Q & A Course description Computer vision from an applied point of view. We will review popular programming languages as well as open and closed source software (e.g. Matlab, NumPy, OpenCV) and talk about their … Continue reading Computer Vision Systems Programming (VO)
VU Computer Vision Zeitplan Vorlesungsteil Die Vorlesung findet geblockt am Mittwoch, Donnerstag und Freitag jeweils von 13:00 – 15:00 c.t., im FAV Hörsaal 1 (Institutsgebäude Favoritenstr. 9-11, Erdgeschoß, Raumnummer: HEEG02) statt, Beginn ist am 9.10.2019. Es folgt eine (vorläufige) Aufstellung der Lehrinhalte: 9.10.2019: Vorbesprechung und Einleitung: Was ist Computer Vision? Organisation: Ziele der Lehrveranstaltung, Ablauf … Continue reading Zeitplan