Diplomarbeiten

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

Document Layout Analysis for Newspapers

Status: open Supervisor: Markus Diem, Florian Kleber, Stefan Fiel Document layout analysis deals with the layout structure of document images, thus segmenting a page into homogeneous image regions. Within the project READ a framework for layout analysis is currently developed. The layout analysis allows to detect text regions (text lines, text blocks, etc.). The main … Continue reading Document Layout Analysis for Newspapers

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

Segmentierung von Nachtfaltern

Status der Diplomarbeit: vergeben Betreuer: Sebastian Zambanini, Martin Kampel Problemstellung Nachtfalter sind eine Tiergruppe mit einer sehr hohen Biodiversität, die in vielen Regionen der Erde nicht vollständig erforscht ist. Methoden der Bildanalyse können eingesetzt werden, um die biologische Forschungsarbeit in diesem Bereich zu beschleunigen und zu unterstützen. Ein wesentlicher Vorverarbeitungsschritt für eine komplexe Analyse (z.B. … Continue reading Segmentierung von Nachtfaltern

Frailty detection of elderly people

Status: assigned Supervisors: Rainer Planinc, Sebastian Zambanini Problem Statement The frailty of elderly people is a big risk, when living independently. Frailty often leads to falls and injuries resulting from a fall. Hence, the level of frailty is an important indicator to assess the risk of falling and provide countermeasures already at an early stage. … Continue reading Frailty detection of elderly people

Handwritten Text Recognition

Status: open Supervisor: Markus Diem, Florian Kleber, Stefan Fiel Handwritten Text Recognition (HTR) is an open research topic because of the variety of modern, cursive handwriting. The goal – being able to automatically translate handwritten text into machine readable text – is attractive since HTR would render non-digital born documents accessible. The master thesis will … Continue reading Handwritten Text Recognition

Automatic FACS Encoding from Videos

Status of Master Thesis: open Supervisors: Sebastian Zambanini and Martin Kampel Problem Statement The Facial Action Coding System (FACS) is a system to taxonomize human facial movements by their appearance on the face. It is a common standard to systematically categorize the physical expression of emotions which is achieved by assigning specific Action Units (AUs) … Continue reading Automatic FACS Encoding from Videos