Forschungsfelder

• Optimierung und Lernen in strukturierten Modellen
• Korrespondenzen zwischen Bildern finden
• Semantisches Verstehen von Szenen
• Bildverarbeitung in der Biologie

***********English***********

Computer Vision is a science that develops models and methods for understanding, analyzing, acquiring and processing images and generally high-dimensional structured data. Computer Vision is an inter-disciplinary field with strong links to Machine Learning, Optimization, Biology, Computer Graphics, and Human Computer Interaction. The mission of the Computer Vision Lab Dresden is to develop novel theoretical concepts which are practically relevant. We work on a broad range of application areas, from image matching, via semantic scene understanding, to Bio Imaging. On the theoretical side we focus on optimization and learning in probabilistic graphical models, as well as Deep Learning.

Research

• Optimization & Learning
  with a focus on graphical models, deep models, and large-scale optimization.
• Image Matching
  with a focus on 3-9DoF scene flow, as well as jointly recovering multiple physical aspects.
• Scene Understanding
  with a focus on 3D semantic scene under-standing, and model-based vision.
• Bio Imaging
  with a focus on segmentation, tracking, and matching – jointly with teams from MPI-CBG.
• Image Analysis
  with a focus on segmentation, interactive techniques, as well as camera design.