Learning Fingerprint Minutiae for Biometric Authentication via Deep Networks
Status: open Supervisors: Robert Sablatnig, Peter Wild Problem Statement See description.
Teaching
Deep Learning for Visual Computing
Course description This lecture covers Deep Learning for automatic image and video analysis, such as classifying images into categories or detecting and distinguishing persons. Deep Learning has lead to breakthroughs in these fields; in certain problems, the performance of current methods based on this technology is similar or even better than that of humans – … Continue reading Deep Learning for Visual Computing
2D and 3D Image Registration (VU)
Introduction: FR. 08.04.2016, 13:00 – 15:00, Seminarraum 183/2 Date: FR. 13:00 – 15:00 (see schedule for dates) Place: Seminarraum 183/2 The goal of this lecture/exercise is to get a fundamental understanding of registration techniques used in computer vision, medical imaging, biological imaging and brain mapping. Registration is necessary in order to be able to compare or integrate … Continue reading 2D and 3D Image Registration (VU)
Rettet die Bienen – mittels Computer Vision
Status des Praktikums: offen (geplanter Zeitpunkt: März 2016!) Betreuer: Martin Kampel Problemstellung Die Milbe Varroa destructor ist ein Parasit der Honigbiene, saugt Hamolymphe („Bienenblut”) und gilt als Hauptursache für das weltweit auftretende Phänomen des Bienensterbens. Sie ist vollständig an ein Leben im Bienenstock angepasst, vermehrt sich ausschließlich in Bienenbrut und kann ohne Bienenwirte nicht überleben. … Continue reading Rettet die Bienen – mittels Computer Vision
Text Detection in Natural Scene Images
Status: open Supervisor: Markus Diem, Florian Kleber, Stefan Fiel Text detection is a challenging task when it comes to natural scene images (think of windows or other architectural patterns which have similar properties as printed text). Moreover, if the degree of freedom is increased and rotated text needs to be detected too, simple line searching … Continue reading Text Detection in Natural Scene Images
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
Face Recognition nomacs Plugin
Status: open Supervisor: Markus Diem nomacs – Image Lounge is a light-weight image viewer developed at CVL. It is written in C++ with Qt and OpenCV and published under GPL. Since two years, nomacs has a plugin system which allows for adding modules dedicated to specific tasks. Task A people search plugin will be implemented … Continue reading Face Recognition nomacs Plugin
Caffe nomacs Plugin
Status: closed Supervisor: Markus Diem nomacs – Image Lounge is a light-weight image viewer developed at CVL. It is written in C++ with Qt and OpenCV and published under GPL. Since two years, nomacs has a plugin system which allows for adding modules dedicated to specific tasks. In the last decade Deep Learning has proven … Continue reading Caffe nomacs Plugin
Comparison: Fine-Grained-Access Control to Governance Data in Relational Databases
Status: open Supervisor: Alois Paulin Problem Statement Competing technologies address the challenge to provide dynamic multi-stakeholder access tailored to fit the context of the request for data and the identity of the requester. This so-called fine-grained-access control can be utilised for disruptive governance technology allowing for low-level access to governance data. The objective of this study is to identify … Continue reading Comparison: Fine-Grained-Access Control to Governance Data in Relational Databases
Classification System: Directions of e-Governance Research
Status: open Supervisor: Alois Paulin Problem Statement e-Governance research and development activities are targeting an emerging trans-disciplinary field of science, which is yet in its pioneering stages. Technical contributions to this field are challenged by a lack of clarity of research directions and often take a following- rather than a leading role in the development of this field. A clearly structured research … Continue reading Classification System: Directions of e-Governance Research