Diplomarbeiten

Relation Detection: Image Similarity Measurement in Large Historical Archives

Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic scene analysis is a crucial task for historians or film archivists in order to preserve and interpret the memories of human cultural history. Film archives include thousands of hours of digitized analog footage from the last 100 years up to … Continue reading Relation Detection: Image Similarity Measurement in Large Historical Archives

Historical Image Restoration: Deep learning-based versus traditional-based deformation strategies

Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video analysis in large historical film collections is a challenging task due to different aspects. One major challenge is related to the quality of historical films, e.g. over-, underexposures and blur. Furthermore, they include scratches, cracks or press cuts and … Continue reading Historical Image Restoration: Deep learning-based versus traditional-based deformation strategies

Allgemeine Hinweise zu Masterarbeiten

Ablauf Einarbeitung in das Thema und Anmeldung der Arbeit beim Dekanat Implementierung/Ausarbeitung Verfassung der Diplomarbeit Abgabe der fertigen Diplomarbeit beim Dekanat Abschlußpräsentation am Institut (ca. eine Woche vor Diplomprüfung) Diplomprüfung Organisation Auswahl eines Diplomarbeitsthemas aus der Themenliste Zuständigen Betreuer kontaktieren Persönliche Anmeldung bei Ihrem Betreuer Besuch des Seminars während des Semesters In Absprache mit dem … Continue reading Allgemeine Hinweise zu Masterarbeiten

Exploiting Context in Remote Sensing Object Detection

Status: open Supervisor: Sebastian Zambanini Problem Statement Detecting and classifying objects in remote sensing images is a challenging task, since the objects’ optical signature is less discriminative  due to the small resolution. Common object detection methods in this area aim to find object locations by classifying local structures, while neglecting the larger surroundings of the … Continue reading Exploiting Context in Remote Sensing Object Detection

3D Reconstruction of Ancient Bronze Mirrors

Contact: Simon Brenner With over 3000 known examples, Etruscan mirrors form one of the largest object groups in Etruscan art. The majority are metal (mostly bronze) discs with handles whose polished obverse served as a mirror while the reverse was often embellished with engraved and/or chased figures. The old-fashioned way of documenting these objects is … Continue reading 3D Reconstruction of Ancient Bronze Mirrors

Work place ergonomics: pose estimation by 3D sensing

Problem statement Work place ergonomics is the key factor of a healthy work place. Paying attention to ergonomic standards cannot only prevent back pain or postural deformity, but also vision problems and tensions. The existing 3D sensor fearless detects and tracks the position of an employee during the work and offers possibilities for improving the … Continue reading Work place ergonomics: pose estimation by 3D sensing

Bee data recording from a bee hive in Banja Luka

Problem Statement & Goal We developed a prototype for recording bees when entering the bee hive. The images are used to analyse bee images in various ways: mite detection, pollen quantity estimation, bee counting, … In this practicum we want to record new bee data in bee hives from our partner in Banja Luka. The … Continue reading Bee data recording from a bee hive in Banja Luka

Deep Learning Object Detection in Satellite Video

Status: available Supervisor: Roman Pflugfelder Problem Statement Object detection, i.e. the recognition and localization of objects, is very important in aerial imaging and remote sensing. Demanding applications can be found such as urban planning for smart cities, environment monitoring to reduce traffic and pollution. Object detection in aerial and satellite data is still challenging due to … Continue reading Deep Learning Object Detection in Satellite Video

Generative Adversarial Nets (GANs) for the Enhancement of Ancient Manusctripts

Status: available Supervisor: Simon Brenner Problem Statement Multispectral Imaging (MSI) has proven a powerful tool to recover degraded texts in historic manuscripts. In this context, the goal of image enhancement methods is to take the raw multispectral images as input and produce and output image with maximal visibility/legibility of a degraded text. Fig. 1 shows … Continue reading Generative Adversarial Nets (GANs) for the Enhancement of Ancient Manusctripts

3D Surface Structures of Ancient Manuscripts

Status: available Supervisor: Simon Brenner Problem Statement Naturally, historic manuscripts are valuable sources of information. However, not only the letters and drawings made with ink and pigments hold information, but also the three-dimensional structure of the material itself. Examples of interesting features are ruling lines or textual comments drawn with a hard tool (“hard point … Continue reading 3D Surface Structures of Ancient Manuscripts