Termin: MO, 10:15 – 12:00 Ort: Sem. FAV 01 A Inhalt Dieses Seminar bietet ein Forum zur Diskussion der Arbeit von DiplomandInnen und die Möglichkeit zum Austausch von Ideen und Neuigkeiten unter den Studierenden. Termin und Organisation Alternierend MO von 10:15 – 12:00, im Sem 183/2 Termine im SS 2019 11.03.2019 08.04.2019 13.05.2019 17.06.2019 Allgemeines … Continue reading Computer Vision Seminar für DiplomandInnen (SE)
Status: availableSupervisor: Martin Kampel Start: as soon as possible Problem Statement In the project MIC-Cam a system for the automated detection of mites was developed. It monitors the bees by camera when departing and landing at the flight board of the bee hive to recognise attached mites in real time without restricting the bees. We apply … Continue reading Bee polls recognition and quantity estimation
Problem Statement Status: availableSupervisor: Martin Kampel Start: as soon as possible Facial analysis, face recognition or facial similarity search has been a very well-known topic in computer vision for many, many years. Today we have mobile solutions as well as large datasets for comparing and analysing face images with varying accuracy. Input data might be … Continue reading Face Similarity Search
Status: availableSupervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos or … Continue reading Shot Type Classification: A fundamental base for automatic video analysis
Status: availableSupervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video content analysis is needed in many different domains such as historical film preservation or film archiving. Due to the enormous quantity of available visual media data, automatic approaches shall be used in order to find specific content in videos or … Continue reading Camera Movement Classification: A fundamental base for automatic video analysis
Status: availableSupervisor: Simon Brenner Before continuing to read we strongly recommend to let this play in the background: https://www.youtube.com/watch?v=-bTpp8PQSog Introduction Uncountable ancient manuscripts lie in archives, libraries, monastaries and haunted tombs around the world. Unfortunately, the centuries took their toll: due to unsuitable storage conditions, fire- or water damage, clumsy librarians or the recycling of … Continue reading Raiders of the Lost Writings
Status: taken Supervisor: Sebastian Zambanini Problem Statement Photo triage is the process of grouping similar photos of a large collection and finally selecting the most preferred one in each group. Especially the selection of “the” best photo of a group is challenging as the relevant image features are not obvious to identify and heavily scene-dependent. … Continue reading Automatic Triage of Photo Collections
Curricula: 066 453 Biomedical Engineering 066 932 Visual Computing 407 UF Darstellende Geometrie Ziel der Lehrveranstaltung ist es, Einblicke über die Möglichkeiten des Einsatzes der 3D Bildverarbeitung vor allem in praktischen, industriellen Anwendungen zu vermitteln. Begleitend zur Vorlesung sollen hierbei die in der Praxis tatsächlich auftretenden Probleme wie Aufnahmegeometrie, Beleuchtung Umgebungslicht und dergleichen anhand von … Continue reading 3D Vision (UE)
When: Wed 10:15 – 11:45 Where: schedule 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 recently lead to breakthroughs in these fields; in certain problems, the performance of current methods based on this technology is similar … Continue reading Deep Learning for Visual Computing
Status: available Supervisor: Sebastian Zambanini Problem Statement Shadows cast in remote sensing images complicate their analysis due to the low contrast in the poorly illuminated image regions. Shadow removal/compensation methods aim at automatically reducing shadow effects, either by a physical or learning-based model. Goal The goal of this work is to explore and examine methods … Continue reading Shadow Removal in Satellite Images