The Computer Vision group of Heidelberg University led by Prof. Dr. Ommer conducts fundamental research in computer vision and machine learning. Also, the group has an interdisciplinary focus, contributing in research for art history and life science. The group is particularly interested in image understanding, visual object recognition in images and videos, shape analysis and action recognition. Methods are applied to different scenarios and data sets.
The following web page provides an overview over the research, which is done by the group; research extends to other disciplines including life science and art history.
Fig 1. The project studies human activity, especially poses, by utilizing a model, which learns a structured representation of postures and their temporal development – without any manual annotation.
(1) Computer Vision
(2) Life Science
(3) Digital Art History
Fig 2. The collaboration between the Computer Vision Group and art history studies, among others, data of cultural heritage. The figure shows details from the Sachsenspiegel (c1220-1235) – a medieval lawbook by Eike von Repgow, which exists in four versions named after their current location in Heidelberg, Dresden, Wolfenbüttel and Oldenburg.