Professur Bildverarbeitung (Computer Vision Lab Dresden) (CVL)
übergeordnete Einrichtungen:Technische Universität Dresden (TUD)
Kontakt
Web: | http://cvlab-dresden.de/ | |
E-Mail: | ||
Telefon: | +49 351 463-38372 | |
Fax: | +49 351 463-38369 | |
Postanschrift: | Technische Universität Dresden (TUD), Professur Bildverarbeitung (Computer Vision Lab Dresden) (CVL), 01062 Dresden, Germany | |
Besucheradresse: | Technische Universität Dresden (TUD), Professur Bildverarbeitung (Computer Vision Lab Dresden) (CVL), Nöthnitzer Str. 46 (2 Floor, room INF-2023), 01187 Dresden, Germany | |
Partner: | Technische Universität Dresden |
Beschreibung
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.
Zugehörigkeit
übergeordnete Einrichtungen
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Institut für Künstliche Intelligenz (KI) | Institut | anzeigen |
Letztes Update
Letztes Update am: 18.04.2017 12:49 CEST