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-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Status: closed Supervisors: Markus Diem, Florian Kleber, and Fabian Hollaus Problem Statement Historical documents are often scanned or photographed to publish facsimile editions.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

Visuelles Ballon-Tracking zur interaktiven Publikumsbeteiligung bei Live-Konzerten

Status des Praktikums: offen Betreuer: Martin Kampel Betreuer: Oliver Hödl Wir bieten: Praxisnahe Projektarbeit Wir suchen: Engagierte Studierende Idee – Hintergrund Das Publikum ist bei einem Musikkonzert aktiv eingebunden und kann gemeinsam bestimmte mu-sikalische Effekte oder die Musik selbst steuern. Dies funktioniert mit Hilfe eines großen Ballons, der im Zuschauerraum über den Köpfen des Publikums … Continue reading Visuelles Ballon-Tracking zur interaktiven Publikumsbeteiligung bei Live-Konzerten

Strassenerkennung anhand von Satellitenaufnahmen und Luftbildern

Betreuer: Fabian Hollaus, Sebastian Zambanini Beschreibung Dieses Praktikum beschäftigt sich mit der automatisierten Erkennung von Strassen anhand von Satellitenaufnahmen und Luftbildern. Diese Erkennung eignet sich als Vorverarbeitungschritt um andere Objekte (z.B. Häuser), die von Strassen begrenzt werden, zu erkennen. In dem Praktikum sollen geeignete Algorithmen für die Strassenerkennung implementiert und insbesondere auf Aufnahmen von geringer … Continue reading Strassenerkennung anhand von Satellitenaufnahmen und Luftbildern