Status: taken Supervisor: Sebastian Zambanini Problem Statement Photo triage is the process of grouping similar photos of a large collection and finally selecting the most preferred one in each group. Especially the selection of “the” best photo of a group is challenging as the relevant image features are not obvious to identify and heavily scene-dependent. … Continue reading Automatic Triage of Photo Collections
Status: available Supervisor: Sebastian Zambanini Problem Statement Shadows cast in remote sensing images complicate their analysis due to the low contrast in the poorly illuminated image regions. Shadow removal/compensation methods aim at automatically reducing shadow effects, either by a physical or learning-based model. Goal The goal of this work is to explore and examine methods … Continue reading Shadow Removal in Satellite Images
Zeugnis 183.583 9.0/6.0 PR WS/SS: Praktikum aus Visual Computing oder 183.582 10.0/5.0 PR WS/SS: Bachelorarbeit für Informatik und Wirtschaftsinformatik Inhalt Lösung vorwiegend praktischer Aufgaben der Informatik unter Einsetzung wissenschaftlicher Methoden. Hierzu gehört insbesondere die Methodenauswahl und die Diskussion von Lösungsansätzen, die im Rahmen des Praktikums dokumentiert werden sollen. Weiters dienen die Praktika der Vorbereitung einer … Continue reading Allgemeine Hinweise zu Bachelorarbeiten und Praktikas
Status: available Supervisor: Martin Kampel Problem Statement & Goal Neuroblastomas are one of the most common tumours in infancy. In the course of every examination, every blood test and every biopsy, information is collected in the form of measured values, images or genetic codes. Very valuable data, if evaluated and interpreted. However, the enormous quantity of … Continue reading visiomics
Status: available Supervisor: Simon Brenner Introduction In the last 10 years the Computer Vision Lab participated in a series of interdisciplinary research projects on the analysis of ancient manuscripts. While we were concerned with the enhancement of degraded text based on Multispectral Imaging (MSI), colleagues from the Academy of Fine Arts performed chemical meterial analysis of … Continue reading Fusing Multispectral Images and Chemical Material Analysis
Supervisor: Fabian Hollaus Description In the DI4DH project we are developing the DocScan app, which is dedicated to the imaging of documents. Your task is to refine the app, or to implement new tasks. Tasks that can be implemented are for example: Evaluation and integration of OCR engines (like for instance Tesseract) Find rulers in … Continue reading Mobile app development
Status: available Supervisor: Roman Pflugfelder Problem Statement Visual person detection is a foundational building block in almost every application from pedestrian detection in surveillance and autonomous driving, to person perception in robotic systems, to human localisation in user-centric computing. Person or pedestrian detection has made a significant leap in the last years, by re-discovering the … Continue reading Person Detection and Data Diversity
Status: available Supervisor: Roman Pflugfelder Problem Statement Visual tracking is a foundational building block in almost every application from cell tracking in bioimaging, to object perception in robotic systems, to localisation in user-centric computing. Visual tracking is fascinating as it is unsolved, it is hard as it combines several difficult problems such as visual representation, adaptation … Continue reading Deep Visual Tracking
Status: available Supervisor: Roman Pflugfelder Problem Statement The robust detection of specific objects such as buildings, ships and road networks has been an important challenge in remote sensing and satellite image processing. Since 2014, a new generation of satellites allow to extend the number of object categories to smaller objects such as vehicles, aircraft and many … Continue reading Vehicle Detection in Satellite Videos
Status: vergeben Supervisors: Rainer Planinc, Sebastian Zambanini Problemstellung Tiefendaten vereinfachen das Problem des Person Trackings in Videos durch eine deutlichere Unterscheidbarkeit von Vorder- und Hintergund der Szene. In den letzten Jahren wurden zahlreiche Methoden vorgestellt, die aber alle für bestimmte Szenarien gedacht sind und auch dahingehend evaluiert wurden. Es gibt jedoch eine Vielzahl von Parametern, … Continue reading Evaluierung von Person Tracking Algorithmen auf Tiefendaten