Startseite
Thomas Kaester
erstellt von Judith Berger
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zuletzt verändert:
11.03.2013 12:07
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Teaching (Summer Term 2013)
Teaching (Winter Term 2012/2013)
Teaching (Summer Term 2012)
Teaching (Winter Term 2011/2012)
- Master seminar Machine Learning. Subtitle "Machine Learning meets Computer Vision"
- Bachelor seminar "Computational Photography"
Teaching (Summer Term 2011)
- Master seminar Machine Learning.
Teaching (Winter Term 2010/2011)
- Bachelor seminar Applied Pattern Recognition
- Master seminar Machine Learning
Supervision
Theses
| Current: | |
|---|---|
| Jason Krause (Bachelor) |
Entwicklung einer Stereobild-basierten Anwendung auf einer Mobilplattform |
| Marten Heidemeyer (Bachelor) | Object Recognition and Scene Classification |
| Finished: | |
| Florian Markowsky (Bachelor) | Konzeption und Implementierung eines Systems zu Time-of-Flight Kamera basierter Navigation in Videos |
| Dirk Hansen (Diplom) | Fast Object Detection |
| Michael Brehler (Master) | Tissue Segmentation and Analysis |
| Tobias Meyer (Master) | Object Recognition and Retrieval |
| Kai Röhr (Bachelor) | Image Stitching and Mosaicing |
| Tobias Mende (Bachelor) | Merkmalsbasierte Qualitäts- und Ästhetikbewertung von Fotografien |
| Folke Will (Bachelor) | Automatische Analyse homogener histologischer Schnitte |
| Sebastian Fischer (Bachelor) | Computergestützte Herstellung von Biochips durch den Einsatz von Bildverarbeitungsmethoden |
| Frederik Kaiser (Bachelor) | Einsatz digitaler Bildverarbeitung zur Analyse von Zellkulturen |
| Thomas Klähn (Diplom) |
Konzeption und Implementierung eines Systems zur inhaltsbasierten Bildsuche |
OPEN Thesis TOPICS:
- Automatic Image Collage (Computational Photography)
- Brain Tissue Segmentation und Analysis (Medical Image Processing)
- Automatic Image Tagging (Computer Vision)
Internships
| Christina Kluck, 01.10.2012 bis 28.02.2013 | Klassifikation von Zellen mittels Durchlichtaufnahmen |
Student Assistants
Sebastan Fischer
Marvin Töllner
Former Student Assistants
Folke Will
Uinonah Weise
Projects
- Project manager of cooperation with EUROIMMUN AG
Curriculum Vitae
Can be found here.
Research Interests
The research interests of Thomas Käster lie in the field of computer vision, pattern recognition, machine learning, image processing, and computer graphics. In particular, he is interested in:
- object detection, tracking and recognition
- human-machine interaction
- medical image processing
- action detection and classification in videos
- computer animation and visualization
- the design of intelligent / cognitive vision systems
- image and video retrieval (including short-term and long-term learning)
- industrial image processing
Publications
Books |
| T. Käster. Intelligente Bildersuche durch den Einsatz inhaltsbasierter Techniken. Dissertation, Universität Bielefeld, Technische Fakultät, 2005. [ http ] |
Journal Articles |
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C. Bauckhage, M. Hanheide, S. Wrede, T. Käster, M. Pfeiffer, and
G. Sagerer.
Vision Systems with the Human in the Loop.
EURASIP Journal on Applied Signal Processing, 2005(14):2375–2390, August 2005. |
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T. Käster, M. Pfeiffer, C. Bauckhage, and G.Sagerer.
Intelligent Navigation in Image Databases.
KI Zeitschrift, 18(4):24-43, November 2004. |
Conference Contributions |
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C. Bauckhage, T. Käster, and J.K. Tsotsos. Applying Ensembles of
Multilinear Classifiers in the Frequency Domain. In Proc. of IEEE
Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR), vol(I), pp.95-102, 2006, New York, USA |
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C. Bauckhage and T. Käster. Benefits of Separable, Multilinear
Discriminant Classification. In Proc. of IEEE International Conference
on Pattern Recognition (ICPR), vol(III), pp 1240-1243, 2006, Hong Kong |
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C. Bauckhage and T. Käster. Fast, Illumination Insensitive Face
Detection Using Multilinear Techniques in Curvature Feature Spaces. In
Proc. of IEEE International Conference on Pattern Recognition (ICPR),
vol(I), pp 507-510, 2006, Hong Kong |
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T. Käster, M. Pfeiffer and C. Bauckhage. Usability Evaluation for Image
Retrieval Beyond Desktop Applications. In Proc. of IEEE International
Conference on Multimedia and Expo (ICME), pp 385-388, 2006, Toronto,
Canada |
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C. Bauckhage, T. Käster, and J.K. Tsotsos. Fast Learning for
Customizable Head Pose Recognition in Robotic Wheelchair Control. In
Proc. of IEEE 7th International Conference on Automatic Face and
Gesture Recognition (FG), pp 311-316, April 2006, Southampton, UK |
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T. Käster, M. Pfeiffer, C. Bauckhage, and G. Sagerer.
Combining Speech and Haptics for Intuitive and Efficient Navigation
through Image Databases.
In Proc. of International Conference on Multimodal Interfaces,
pp 180-187, Vancouver, Canada, November 2003. ACM. |
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C. Bauckhage, T. Käster, M. Pfeiffer, and G. Sagerer.
Content-Based Image Retrieval by Multimodal Interaction.
In Proc. of 29th Annual Conference of the IEEE Industrial
Electronics Society, pp 1865-1870, Roanoke, VA, November 2003. |
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T. Käster, V. Wendt, and G. Sagerer.
Comparing Clustering Methods for Database Categorization in Image
Retrieval.
In B. Michaelis and G. Krell, editors, Pattern Recognition; 25th
DAGM Symposium, Magdeburg, Sep. 2003. Proceedings, Lecture Notes in Computer
Science 2781, pp 228-235, Heidelberg, Germany, 2003. Springer-Verlag. |
| T. Kämpfe, T. Käster, M. Pfeiffer, H. Ritter, and G. Sagerer. INDI - Intelligent Database Navigation by Interactive and Intuitive Content-Based Image Retrieval. In Proc. of IEEE International Conference on Image Processing, vol(III), pp 921-924, Rochester, NY, September 2002. |
