Informatik Praktika

Normalized Flowcytometry Representation of Blood Cell Populations of Children affected by Acute Leukaemia

Supervision Michael Reiter, Roxane Licandro Problem Statement Acute Leukaemia is a disease induce by genetic alterations of blood progenitor cells, which influences the blood generation process (haematopoiesis) and leads to the proliferation of undifferentiated (leukaemic) cells. Flow CytoMetry (FCM) measurements are used to reliably assess these cancer cells (blasts) and to quantify their ratio to … Continue reading Normalized Flowcytometry Representation of Blood Cell Populations of Children affected by Acute Leukaemia

Dermoscopic Image Analysis by Deep Learning

Status: available Supervisor: Michael Reiter, Christopher Pramerdorfer The purpose of this work is to classify sequences of dermatoscopy images as “changing” or “not changing”. The term “change” refers to a depicted mole or skin lesion, and a given sequence should be classified as “changing” if the depicted mole changes in a form that indicates  a tumor, not simply … Continue reading Dermoscopic Image Analysis by Deep Learning

Deep Visual Tracking

Status: available Supervisor: Robert Sablatnig and 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, … Continue reading Deep Visual Tracking

Allgemeine Hinweise zu Bachelorarbeiten und Praktikas

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

Deep-Learning for Gender Classification/Age Estimation

Status: available Supervisor: Martin Kampel Problem Statement Automatically detecting the gender of a person or estimating his/her age is valuable in many fields of work. In the area of computer vision exist a variety of possible approaches, mostly based on machine learning, to accomplish this task. A higher complexity arises due to the claim to … Continue reading Deep-Learning for Gender Classification/Age Estimation

Pattern Matching of Footwear Impressions

Status: available Supervisor: Manuel Keglevic Problem Statement One of the most frequently secured types of evidence at crime scenes are footware impressions. Identifying the brand and model of the footware can be crucial to narrowing the search for suspects. This is done by forensic experts by comparing the evidence found at the crime scene with … Continue reading Pattern Matching of Footwear Impressions

Color Chart Detection and Calibration

Status: closed Supervisors: Markus Diem, Florian Kleber, and Fabian Hollaus Problem Statement Historical documents are often scanned or photographed to publish facsimile editions. Thus, it is important to know the exact scale of the image, and the correct color information. With this information, the document can be reproduced in such a manner that the dimension and color of … Continue reading Color Chart Detection and Calibration

Image Descriptor Learning for Matching Historical Aerial Images with Present-Day Satellite Images

Status: available Supervisor: Sebastian Zambanini Problem Statement Learning local image descriptors by means of deep convolutional neural nets [1,2] has recently shown to produce stronger features than traditional hand-crafted ones such as SIFT [3]. However, these nets have been trained and evaluated on general scenarios of (wide-basline) object matching. For the DeVisOr project, matching historical … Continue reading Image Descriptor Learning for Matching Historical Aerial Images with Present-Day Satellite Images

Fine Registration of Historical Aerial Images and Present-Day Satellite Images

Status: open Supervisor: Sebastian Zambanini Problem Statement In the DeVisOr project, historical aerial images are registered to modern satellite images for the purpose of geo-referencing. However, feature based registrations only deliver coarse registration that needs to be refined for improved accuracy. Goal The goal of this work is to investigate the application of fine registration … Continue reading Fine Registration of Historical Aerial Images and Present-Day Satellite Images