W I L L K O M M E N
Universität Freiburg - Institut für Informatik
Lehrstuhl für Mustererkennung und Bildverarbeitung (LMB)
[-]LMB
   [+]People
   [-]Research
    |  | Gebiete:
    |  |-Invariant theory
    |  |-Design of Classifiers
    |  |-Computer Vision
    |  |-Motion and Depth Estimation
    |  |-Digital Image Filtering 
    |  |-Multi Spectral Image Analysis
    |  |-Fast and Parallel Algorithms
    |  | Laufende Projekte
    |  |-Computer Vision
    |  |-Invariance in Kernel Methods
    | [+]I-search
    |  |-OMIB
    |  |-OMNIBUSS
    |  | Abgeschl. Projekte
    |  |-NOBLESSE
    |  |-MOVIS ()
    |  |-SFB-238 ()
    |  |-Parallelisierung ()
    |  |-Automatische Sichtprüfung... ()
    |     ()
   [+]Studien-, Diplom- und Bachelor... ()
   [+]Lectures
    |-Events
    |-Publications
   [+]Awards
   [+]Jobs/Vacancies
    |-TILDA
   [+]Software
   [+]Interna ()


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Online-Monitoring and Identification of Bioaerosols (OMIB)

Project Members


Introduction

This project, which is part of the cooperative research project: Biophotonik financed by the BMBF, investigates new methods to detect airborne contamination (e.g. bacteria) in air samples. The aim is to first use a monitoring step to discriminate between biotic and abiotic particles and then to identify the relevant particles by their characteristic raman spectrum. While the project partners are dealing mostly with research in the area of interception techniques, spectroscopic analysis and system integration the Lehrstuhl für Mustererkennung und Bildverarbeitung searches after new methods for the monitoring and recognition of particles.

References

The following document (in German only) gives a short description of the objectives of our research

Links of related projects

Publications

  1. [hsm:dagm95] H. Schulz-Mirbach.
    Invariant features for gray scale images.
    In G. Sagerer, S. Posch, and F. Kummert, editors, 17. DAGM - Symposium ``Mustererkennung'', pages 1-14, Bielefeld, 1995. Reihe Informatik aktuell, Springer.
    DAGM-Preis. Postscrpit Datei zum Herunterladen
  2. [vapnik95] V. Vapnik.
    The Nature of Statistical Learning Theory.
    Springer, N.Y., 1995.
  3. [ro:etal:icpr2002] O. Ronneberger, H. Burkhardt, and E. Schultz.
    General-purpose Object Recognition in 3D Volume Data Sets using Gray-Scale Invariants - Classification of Airborne Pollen-Grains Recorded with a Confocal Laser Scanning Microscope.
    In Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, September 2002. Postscrpit Datei zum Herunterladen