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KeyAuthor/EditorTitleYearJournal/ProceedingsReftypeDOI/URLDownload
389 Teynor, A. & Burkhardt, H.
Wavelet-based Salient Points with Scale Information for Classification (accepted) 2008 Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008)
Tampa, Florida, USA  
inproceedings
BibTeX:
@inproceedings{te:bu:ICPR08:2,
  author = {Teynor, A. and Burkhardt, H.},
  title = {Wavelet-based Salient Points with Scale Information for Classification},
  booktitle = {Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008)},
  address = {Tampa, Florida, USA },
  year = {2008},
  note = {accepted}
}
388 Teynor, A. & Burkhardt, H.
Semantic Grouping of Visual Features (accepted) 2008 Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008)
Tampa, Florida, USA  
inproceedings
BibTeX:
@inproceedings{te:bu:ICPR08:1,
  author = {Teynor, A. and Burkhardt, H.},
  title = {Semantic Grouping of Visual Features},
  booktitle = {Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008)},
  address = {Tampa, Florida, USA },
  year = {2008},
  note = {accepted}
}
387 Petersen, K., Fehr, J. & Burkhardt, H.
Fast General Belief Propagation for MAP estimation on 2D and 3D grid-like Markov Random Fields (DAGM Award) 2008 Proceedings of the DAGM 2008
München, Germany  
inproceedings     [PDF]

BibTeX:
@inproceedings{pe:fe:bu:dagm08:1,
  author = {Petersen, K. and Fehr, J. and Burkhardt, H.},
  title = {Fast General Belief Propagation for MAP estimation on 2D and 3D grid-like Markov Random Fields},
  booktitle = {Proceedings of the DAGM 2008},
  publisher = {LNCS, Springer},
  address = {M{\"u}nchen, Germany},
  year = {2008},
  pages = {41-50},
  note = {DAGM Award}
}
386 Setia, L., Teynor, A., Halawani, A. & Burkhardt, H.
Grayscale Medical Image Annotation using Local Relational Features 2008 Pattern Recognition Letters, Special Issue on Medical Image Annotation in ImageCLEF   article  [DOI]

BibTeX:
@article{se:te:ha:bu:prl08,
  author = {Lokesh Setia and Alexandra Teynor and Alaa Halawani and Hans Burkhardt},
  title = {Grayscale Medical Image Annotation using Local Relational Features},
  journal = {Pattern Recognition Letters, Special Issue on Medical Image Annotation in ImageCLEF},
  year = {2008},
  doi = {10.1016/j.patrec.2008.05.018}
}
385 Wang, Q.
Fourier Analysis in Polar and Spherical Coordinates 2008 Institute: IIF-LMB, Computer Science Department, University of Freiburg   techreport     [PDF]

BibTeX:
@techreport{wa:report01_08,
  author = {Qing Wang},
  title = {Fourier Analysis in Polar and Spherical Coordinates},
  institution = {IIF-LMB, Computer Science Department, University of Freiburg},
  year = {2008},
  number = {Internal Report 1/08}
}
384 Ronneberger, O., Baddeley, D., Scheipl, F., Verveer, P. .., Burkhardt, H., Cremer, C., Fahrmeir, L., T.Cremer & Joffe, B.
Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls 2008 Chromosome Research   article  [DOI]

Abstract: The vast majority of microscopic data in biology of the cell nucleus is currently collected using fluorescence microscopy, and most of these data are subsequently subjected to quantitative analysis. The analysis process unites a number of steps, from image acquisition to statistics, and at each of these steps decisions must be made that may crucially affect the conclusions of the whole study. This often presents a really serious problem because the researcher is typically a biologist, while the decisions to be taken require expertise in the fields of physics, computer image analysis, and statistics. The researcher has to choose between multiple options for data collection, numerous programs for pre-processing and processing of images, and a number of statistical approaches. Written for biologists, this article discusses some of the typical problems and errors that should be avoided. The article was prepared by a team uniting expertise in biology, microscopy, image analysis and statistics. It considers the options a researcher has at the stages of data acquisition (choice of the microscope and acquisition settings), preprocessing (filtering, intensity normalization, deconvolution) image processing (radial distribution, clustering, colocalisation, shape and orientation of objects) and statistical analysis.
BibTeX:
@article{ro:bad:sche:ver:bu:cr:fa:2008,
  author = {O. Ronneberger and D. Baddeley and F. Scheipl and P. .J. Verveer and H. Burkhardt and C. Cremer and L. Fahrmeir and T.Cremer and B. Joffe},
  title = {Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls},
  journal = {Chromosome Research},
  year = {2008},
  volume = {16},
  number = {3},
  pages = {523-562},
  doi = {10.1007/s10577-008-1236-4}
}
383
Preisach, C., Burkhardt, H., Schmidt-Thieme, L. & Decker, R. (Eds.)

Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation E.v. 2008
Studies in Classification, Data Analysis, and Knowledge Organization  
proceedings
BibTeX:
@proceedings{pr:bu:sc:de:2008,
  title = {Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft f{\"u}r Klassifikation E.v.},
  editor = {Chr. Preisach and H. Burkhardt and L. Schmidt-Thieme and R. Decker},
  publisher = {Springer-Verlag},
  year = {2008},
  series = { Studies in Classification, Data Analysis, and Knowledge Organization}
}
382 Fehr, J., Ronneberger, O., Schulz, J., Schmidt, T., Reisert, M. & Burkhardt, H.
Invariance via Group-Integration: A Feature Framework for 3D Biomedical Image Analysis 2008 Computer Graphics and Imaging (CGIM), 2008
Innsbruck, Austria  
inproceedings   [URL]

BibTeX:
@inproceedings{fe:ro:js:ts:re:bu:CGI08,
  author = {Janis Fehr and Olaf Ronneberger and Janina Schulz and Thorsten Schmidt and Marco Reisert and Hans Burkhardt},
  title = {Invariance via Group-Integration: A Feature Framework for 3D Biomedical Image Analysis},
  booktitle = {Computer Graphics and Imaging (CGIM), 2008},
  address = {Innsbruck, Austria},
  year = {2008},
  url = {http://www.actapress.com/Abstract.aspx?paperId=32637}
}
381 Zheng, W., Lu, Z. & Burkhardt, H.
Fast progressive image retrieval schemes based on updating enhanced equal-average equal-variance K nearest neighbour search in vector quantised feature database 2007 Proceedings of the 6th International Conference on Information, Communications & Signal Processing, 2007
Singapore  
inproceedings  [DOI]

BibTeX:
@inproceedings{zh:lu:bu:icicsp07,
  author = {Wei-Min Zheng and Zhe-Ming Lu and Hans Burkhardt},
  title = {Fast progressive image retrieval schemes based on updating enhanced equal-average equal-variance K nearest neighbour search in vector quantised feature database},
  booktitle = {Proceedings of the 6th International Conference on Information, Communications & Signal Processing, 2007},
  address = {Singapore},
  year = {2007},
  pages = {1-5},
  doi = {10.1109/ICICS.2007.4449570}
}
380 Fehr, J.
Rotational Invariant Uniform Local Binary Patterns For Full 3D Volume Texture Analysis 2007 Finnish Signal Processing Symposium (FINSIG), 2007
Oulu, Finland  
inproceedings     [PDF]

BibTeX:
@inproceedings{fe:FINSIG07,
  author = {Janis Fehr},
  title = {Rotational Invariant Uniform Local Binary Patterns For Full 3D Volume Texture Analysis},
  booktitle = {Finnish Signal Processing Symposium (FINSIG), 2007},
  address = {Oulu, Finland},
  year = {2007}
}
379 Haller, C., Schulz, J., Schmidt-Trucksäss, A., Burkhardt, H., Schmitz, D., Dickhuth, H. & Sandrock, M.
Sequential based analysis of Intima-Media Thickness (IMT) in common carotid artery studies. 2007 Atherosclerosis   article  [DOI]

BibTeX:
@article{ha:sc:bu:athe07,
  author = {Haller, C. and Schulz, J. and Schmidt-Trucks{\"a}ss, A. and Burkhardt, H. and Schmitz, D. and Dickhuth, H. and Sandrock, M.},
  title = {Sequential based analysis of Intima-Media Thickness (IMT) in common carotid artery studies.},
  journal = {Atherosclerosis},
  year = {2007},
  volume = {195},
  number = {2},
  pages = {e203-e209},
  doi = {10.1016/j.atherosclerosis.2007.07.017}
}
378 Reisert, M.
Spherical Derivatives for Steerable Filtering in 3D 2007 Institute: IIF-LMB, Computer Science Department, University of Freiburg   techreport     [PDF]

BibTeX:
@techreport{re:report07_03,
  author = {M. Reisert},
  title = {Spherical Derivatives for Steerable Filtering in 3D},
  institution = {IIF-LMB, Computer Science Department, University of Freiburg},
  year = {2007},
  number = {Internal Report 3/07}
}
377 Teynor, A. & Burkhardt, H.
Fast Codebook Generation by Sequential Data Analysis for Object Classification 2007 Proceedings of the 3rd International Symposium on Visual Computing (ISVC 2007)
Lake Tahoe, USA  
inproceedings     [PDF]

BibTeX:
@inproceedings{te:bu:isvc07,
  author = {Alexandra Teynor and Hans Burkhardt},
  title = {Fast Codebook Generation by Sequential Data Analysis for Object Classification},
  booktitle = {Proceedings of the 3rd International Symposium on Visual Computing (ISVC 2007)},
  address = {Lake Tahoe, USA},
  year = {2007}
}
376 Fehr, J., Zapien, K. & Burkhardt, H.
Fast Support Vector Machine Classification of very large Datasets 2007 Post-Proceedings of the GfKl Conference, Data Analysis, Machine Learning, and Applications
University of Freiburg, Germany  
inproceedings     [PDF]

BibTeX:
@inproceedings{fe:za:bu:gfkl07,
  author = {Fehr, J. and Zapien, K. and Burkhardt, H.},
  title = {Fast Support Vector Machine Classification of very large Datasets},
  booktitle = {Post-Proceedings of the GfKl Conference, Data Analysis, Machine Learning, and Applications},
  publisher = {LNCS, Springer},
  address = {University of Freiburg, Germany},
  year = {2007}
}
375 Haasdonk, B. & Burkhardt, H.
Classification with Invariant Distance Substitution Kernels 2007 Proceedings of 31st. GfKl Conference, Data Analysis, Machine Learning, and Applications
University of Freiburg, Germany  
inproceedings     [PDF]

BibTeX:
@inproceedings{ha:bu:gfkl07,
  author = {Haasdonk, B. and Burkhardt, H.},
  title = {Classification with Invariant Distance Substitution Kernels},
  booktitle = {Proceedings of 31st. GfKl Conference, Data Analysis, Machine Learning, and Applications},
  publisher = {LNCS, Springer},
  address = {University of Freiburg, Germany},
  year = {2007}
}
374 Ronneberger, O., Wang, Q. & Burkhardt, H.
3D invariants with high robustness to local deformations for automated pollen recognition 2007 Proceedings of the DAGM 2007
Heidelberg, Germany  
inproceedings     [PDF]

BibTeX:
@inproceedings{ro:wa:bu:dagm07,
  author = {Ronneberger, O. and Wang, Q. and Burkhardt, H.},
  title = {3D invariants with high robustness to local deformations for automated pollen recognition},
  booktitle = {Proceedings of the DAGM 2007},
  publisher = {LNCS, Springer},
  address = {Heidelberg, Germany},
  year = {2007},
  pages = {455-435}
}
373 Reisert, M., Ronneberger, O. & Burkhardt, H.
A fast and reliable coin recognition system 2007 Proceedings of the DAGM 2007
Heidelberg, Germany  
inproceedings     [PDF]

BibTeX:
@inproceedings{re:ro:bu:dagm07:2,
  author = {Reisert, M. and Ronneberger, O. and Burkhardt, H.},
  title = {A fast and reliable coin recognition system},
  booktitle = {Proceedings of the DAGM 2007},
  publisher = {LNCS, Springer},
  address = {Heidelberg, Germany},
  year = {2007},
  pages = {415-424}
}
372 Reisert, M., Ronneberger, O. & Burkhardt, H.
Holomorphic filters for object detection 2007 Proceedings of the DAGM 2007
Heidelberg, Germany  
inproceedings     [PDF]

BibTeX:
@inproceedings{re:ro:bu:dagm07,
  author = {Reisert, M. and Ronneberger, O. and Burkhardt, H.},
  title = {Holomorphic filters for object detection},
  booktitle = {Proceedings of the DAGM 2007},
  publisher = {LNCS, Springer},
  address = {Heidelberg, Germany},
  year = {2007},
  pages = {304-313}
}
371 Setia, L. & Burkhardt, H.
Learning Taxonomies in Large Image Databases 2007 ACM SIGIR Workshop on Multimedia Information Retrieval
Amsterdam, Holland  
inproceedings     [PDF]

BibTeX:
@inproceedings{se:bu:mir07,
  author = {L. Setia and H. Burkhardt},
  title = {Learning Taxonomies in Large Image Databases},
  booktitle = {ACM SIGIR Workshop on Multimedia Information Retrieval},
  address = {Amsterdam, Holland},
  year = {2007}
}
370 Haasdonk, B. & Burkhardt, H.
Invariant Kernel Functions for Pattern Analysis and Machine Learning 2007 Machine Learning   article  [DOI]

    [PDF]

BibTeX:
@article{ha:bu:ml07,
  author = {Bernard Haasdonk and Hans Burkhardt},
  title = {Invariant Kernel Functions for Pattern Analysis and Machine Learning},
  journal = {Machine Learning},
  publisher = {Springer Netherlands},
  year = {2007},
  volume = {68},
  pages = {35-61},
  doi = {10.1007/s10994-007-5009-7}
}
369 Temerinac, M., Reisert, M. & Burkhardt, H.
SHape REtrieval Contest 2007: Protein Retrieval Track 2007 Proceedings of SHREC2007 3D Shape Retrieval Contest, SMI'07
Lyon, France  
inproceedings     [PDF]

BibTeX:
@inproceedings{tem:re:bu:shrec07,
  author = {Maja Temerinac and Marco Reisert and Hans Burkhardt},
  title = {SHape REtrieval Contest 2007: Protein Retrieval Track},
  booktitle = {Proceedings of SHREC2007 3D Shape Retrieval Contest, SMI'07},
  address = {Lyon, France},
  year = {2007}
}
368 Zapien, K. & Fehr, J.
Fast Support Vector Machine Classification of very large Datasets 2007 Institute: IIF-LMB, Computer Science Department, University of Freiburg   techreport     [PDF]

BibTeX:
@techreport{za:fe:report07_02,
  author = {K. Zapien and J. Fehr},
  title = {Fast Support Vector Machine Classification of very large Datasets},
  institution = {IIF-LMB, Computer Science Department, University of Freiburg},
  year = {2007},
  number = {Internal Report 2/07}
}
367 Temerinac, M., Reisert, M. & Burkhardt, H.
Invariant Features for Searching in Protein Fold Databases 2007 International Journal on Computer Mathematics, 'Special Issue on Bioinformatics'   article  [DOI]

BibTeX:
@article{tem:re:bu:ijcm07,
  author = {Temerinac, M. and Reisert, M. and Burkhardt, H.},
  title = {Invariant Features for Searching in Protein Fold Databases},
  journal = {International Journal on Computer Mathematics, 'Special Issue on Bioinformatics'},
  year = {2007},
  volume = {84},
  number = {5},
  pages = {635-651},
  doi = {10.1080/00207160701351937}
}
366 Reisert, M. & Burkhardt, H.
Learning Equivariant Functions with Matrix Valued Kernels 2007 J. Mach. Learn. Res.
Cambridge, MA, USA  
article   [URL]

BibTeX:
@article{re:bu:jmlr07,
  author = {Marco Reisert and Hans Burkhardt},
  title = {Learning Equivariant Functions with Matrix Valued Kernels},
  journal = {J. Mach. Learn. Res.},
  publisher = {MIT Press},
  address = {Cambridge, MA, USA},
  year = {2007},
  volume = {8},
  pages = {385--408},
  url = {http://portal.acm.org/citation.cfm?id=1248659.1248674&coll=GUIDE&dl=%23url.coll}
}
365 Lu, Z. & Burkhardt, H.
Block Truncation Coding Based Histograms for Colour Image Retrieval 2007 International Journal of Computer Sciences and Engineering Systems   article     [PDF]

BibTeX:
@article{lu:bu:IJCSES06,
  author = {Zhe-Ming Lu and Hans Burkhardt},
  title = {Block Truncation Coding Based Histograms for Colour Image Retrieval},
  journal = {International Journal of Computer Sciences and Engineering Systems},
  year = {2007},
  volume = {1},
  number = {1},
  pages = {7-9}
}
364 Teynor, A. & Burkhardt, H.
Patch Based Localization of Visual Object Class Instances 2007 IAPR Workshop on Machine Vision Applications (MVA2007)
Tokyo, Japan  
inproceedings     [PDF]

BibTeX:
@inproceedings{te:mva07,
  author = {Teynor, A. and Burkhardt, H.},
  title = {Patch Based Localization of Visual Object Class Instances },
  booktitle = {IAPR Workshop on Machine Vision Applications (MVA2007)},
  address = {Tokyo, Japan},
  year = {2007}
}
363 Fehr, J. & Burkhardt, H.
Harmonic Shape Histograms for 3D Shape Classification and Retrieval 2007 IAPR Workshop on Machine Vision Applications (MVA2007)
Tokyo, Japan  
inproceedings     [PDF]

BibTeX:
@inproceedings{fe:mva07,
  author = {Fehr, J. and Burkhardt, H.},
  title = {Harmonic Shape Histograms for 3D Shape Classification and Retrieval},
  booktitle = {IAPR Workshop on Machine Vision Applications (MVA2007)},
  address = {Tokyo, Japan},
  year = {2007}
}
362 Reisert, M.
Equivariant Holomorphic Filters - Theory and Applications 2007 Institute: IIF-LMB, Computer Science Department, University of Freiburg   techreport     [PDF]

BibTeX:
@techreport{re:report07_01,
  author = {Marco Reisert},
  title = {Equivariant Holomorphic Filters - Theory and Applications},
  institution = {IIF-LMB, Computer Science Department, University of Freiburg},
  year = {2007},
  number = {Internal Report 1/07}
}
361 Brunner, G.
Structure Features for Content-Based Image Retrieval and Classification Problems. 2006 School: Albert-Ludwigs-Universität, Freiburg, Institut für Informatik   phdthesis     [PDF]

BibTeX:
@phdthesis{br:diss,
  author = {Gerd Brunner},
  title = {Structure {F}eatures for Content-Based Image Retrieval and Classification Problems.},
  school = {Albert-Ludwigs-Universit{\"a}t, Freiburg, Institut f{\"u}r Informatik},
  year = {2006}
}
360 Scharring, S., Schultz, E., Heimann, U., Gehrig, R., Defila, C., Kühler, B., Burkhardt, H., Ronneberger, O., Wang, Q., Brandenburg, A., Sulz, G., Ehr, M., Giel, D., Fratz, M., Koch, W., Dunkhorst, W., Lüdding, H., Müller, W. & Breitfuss, G.
Automatic Pollen Recognition - Developments and Perspectives 2006 Nachrichtenblatt des Deutschen Pflanzenschutzdienstes   article
BibTeX:
@article{scha:ndp06,
  author = {Scharring, S. and Schultz, E. and Heimann, U. and Gehrig, R. and Defila, C. and K{\"u}hler, B. and Burkhardt, H. and Ronneberger, O. and Wang, Q. and Brandenburg, A. and Sulz, G. and Ehr, M. and Giel, D. and Fratz, M. and Koch, W. and Dunkhorst, W. and L{\"u}dding, H. and M{\"u}ller, W. and Breitfuss, G.},
  title = {Automatic Pollen Recognition - Developments and Perspectives},
  journal = {Nachrichtenblatt des Deutschen Pflanzenschutzdienstes},
  publisher = {Eugen Ulmer KG, Stuttgart},
  year = {2006},
  volume = {58},
  pages = {309-314}
}
359 Teynor, A.
Patch Based Approaches for the Recognition of Visual Object Classes - A Survey 2006 Institute: IIF-LMB, Computer Science Department, University of Freiburg   techreport     [PDF]

BibTeX:
@techreport{te:report06_02,
  author = {Alexandra Teynor},
  title = {Patch Based Approaches for the Recognition of Visual Object Classes - A Survey},
  institution = {IIF-LMB, Computer Science Department, University of Freiburg},
  year = {2006},
  number = {Internal Report 2/06}
}
358 Lu, Z., Li, D. & Burkhardt, H.
Image retrieval based on RST-invariant features 2006 International Journal of Computer Science and Network Security   article     [PDF]

BibTeX:
@article{lu:li:bu:IJCNS06,
  author = {Zhe-Ming Lu and Dan-Ni Li and Hans Burkhardt},
  title = {Image retrieval based on RST-invariant features},
  journal = {International Journal of Computer Science and Network Security},
  year = {2006},
  volume = {6},
  number = {2A},
  pages = {169-174}
}
357 Scharring, S., Brandenburg, A., Breitfuss, G., Burkhardt, H., Dunkhorst, W., v. Ehr, M., Fratz, M., Giel, D., Heimann, U., Koch, W., Lödding, H., Müller, W., Ronneberger, O., Schultz, E., Sulz, G. & Wang, Q.

Popp, J. & Strehle, M. (Eds.)

Online Monitoring of Airborne Allergenic Particles (OMNIBUSS) 2006 Biophotonics: Visions for Better Health Care   incollection  [DOI]

Abstract: This chapter contains sections titled: Introduction Health-related Impacts of Aerosols Allergies Pollen Counting - State-of-the-Art A New Approach to Pollen Information and Forecasting Monitoring Bioaerosols: State-of-the-Art Existing Instrumentation for Sampling Environmental Allergens Microscopic Techniques Pattern Recognition Online Monitoring of Airborne Allergenic Particles by Microscopic Techniques Instrumentation Sampling Preparation Microscopic Imaging and System Integration Pattern Recognition Integration of the Pollen Monitor in an Online Environmental Monitoring Network First Results Automated Sampling Automated Sample Scanning Continuous Sampling and Online Analysis Pattern Recognition - Pollen Pattern Recognition - Fungal Spores Real-world Samples Field Experiments Summary / Outlook Glossary Key References References
BibTeX:
@incollection{sch:bioph06,
  author = {Scharring, S. and Brandenburg, A. and Breitfuss, G. and Burkhardt, H. and Dunkhorst, W. and v. Ehr, M. and Fratz, M. and Giel, D. and Heimann, U. and Koch, W. and L\"odding, H. and M\"uller, W. and Ronneberger, O. and Schultz, E. and Sulz, G. and Wang, Q.},
  title = {Online Monitoring of Airborne Allergenic Particles (OMNIBUSS)},
  booktitle = {Biophotonics: Visions for Better Health Care},
  editor = {Popp, J. and Strehle, M.},
  publisher = {Wiley-VCH},
  year = {2006},
  pages = {31-88},
  doi = {10.1002/3527608842.ch2}
}
356 Fehr, J., Sauer, C., Kurz, H., Ronneberger, O. & Burkhardt, H.

Handels, H., Ehrhardt, J., Horsch, A., Meinzer, H. & Tolxdorff, T. (Eds.)

Identifikation von Zellen in intaktem Gewebe -- Segmentierung und Klassifikation von Zellkernen in 3D Volumendaten mittels voxel-basierter Grauwertinvarianten 2006 Bildverarbeitung für die Medizin 2006 Algorithmen Systeme Anwendungen, Proceedings des Workshops vom 19. - 21. März 2006 in Hamburg   inproceedings  [DOI]

Abstract: Wir präsentieren erste Ergebnisse eines Ansatzes zur vollautomatischen Segmentierung und Klassifikation von Zellen (Zellkernen) in 3D Volumendaten. Durch Einsatz voxel-weiser invarianter Merkmale und Support Vektor Maschinen wird die Klassenzugehörigkeit jedes Voxels anhand von Trainingsbeispielen gelernt. Dies ermöglicht eine simultane Segmentierung und Klassifikation von Objekten selbst in stark verrauschten und kontrastschwachen konfokalen Laserscanning-Mikroskop Aufnahmen.
BibTeX:
@inproceedings{fe:sau:ro:bu:bvm06,
  author = {Janis Fehr and Catharina Sauer and Haymo Kurz and Olaf Ronneberger and Hans Burkhardt},
  title = {Identifikation von {Z}ellen in intaktem {G}ewebe -- {S}egmentierung und {K}lassifikation von {Z}ellkernen in 3D {V}olumendaten mittels voxel-basierter {G}rauwertinvarianten},
  booktitle = {Bildverarbeitung f\"ur die Medizin 2006 Algorithmen Systeme Anwendungen, Proceedings des Workshops vom 19. - 21. M\"arz 2006 in Hamburg},
  editor = {Heinz Handels and Jan Ehrhardt and Alexander Horsch and Hans-Peter Meinzer and Thomas Tolxdorff},
  year = {2006},
  doi = {10.1007/3-540-32137-3_75}
}
355 Reisert, M., Ronneberger, O. & Burkhardt, H.
An Efficient Gradient Based Registration Technique for Coin Recognition 2006 Competition winning program! Proceedings of the Muscle CIS Coin Competition Workshop, Sep.11, 2006, Berlin, Germany   inproceedings     [PDF]

Abstract: This paper presents a coin recognition system based completely on the direction of thegradient vectors. To optimally align two coins we search for a rotation such that as mostas possible corresponding gradient vectors point into the same direction. After discretizingthe gradient directions this can be done quickly by the use of the Fast Fourier Transform.The classification is done by a simple nearest neighbor search followed by several rejectioncriteria to meet the demand of a low false positive rate.
BibTeX:
@inproceedings{re:bu:ciscoin,
  author = {M. Reisert and O. Ronneberger and H. Burkhardt},
  title = {An Efficient Gradient Based Registration Technique for Coin Recognition},
  booktitle = {Competition winning program! Proceedings of the Muscle CIS Coin Competition Workshop, Sep.11, 2006, Berlin, Germany},
  year = {2006},
  pages = {19-31}
}
354 Lu, Z., Burkhardt, H. & Chu, S.
Multipurpose Image Watermarking Algorithms an Applications 2007
Kacprzyk, J.(Ed.): Studies in Computational Intelligence 58  
inbook  [DOI]

BibTeX:
@inbook{lu:bu:ch_SCI07,
  author = {Z.-M. Lu and H. Burkhardt and S.-C. Chu},
  title = {Multipurpose Image Watermarking Algorithms an Applications},
  publisher = {Springer Verlag},
  year = {2007},
  series = {Kacprzyk, J.(Ed.): Studies in Computational Intelligence},
  volume = {58},
  pages = {287-323},
  doi = {10.1007/978-3-540-71169-8_11}
}
353 Fehr, J. & Burkhardt, H.
Phase based 3D Texture Features 2006 Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany   inproceedings     [PDF]

BibTeX:
@inproceedings{fe:bu:dagm06,
  author = {J. Fehr and H. Burkhardt},
  title = {Phase based 3D Texture Features},
  booktitle = {Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany},
  publisher = {LNCS, Springer},
  year = {2006},
  pages = {263-272}
}
352 Reisert, M. & Burkhardt, H.
Irreducible Group Representation for 3D Shape Description 2006 Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany   inproceedings     [PDF]

BibTeX:
@inproceedings{re:bu:dagm06,
  author = {M. Reisert and H. Burkhardt},
  title = {Irreducible Group Representation for 3D Shape Description},
  booktitle = {Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany},
  publisher = {LNCS, Springer},
  year = {2006},
  pages = {132-142}
}
351 Reisert, M. & Burkhardt, H.
Feature Selection for Retrieval Purposes 2006 Proceedings of the ICIAR'06, Pavoa do Varzim, Portugal   inproceedings     [PDF]

BibTeX:
@inproceedings{re:bu:featsel,
  author = {M. Reisert and H. Burkhardt},
  title = {Feature Selection for Retrieval Purposes},
  booktitle = {Proceedings of the ICIAR'06, Pavoa do Varzim, Portugal},
  publisher = {LNCS, Springer},
  year = {2006},
  volume = {1},
  pages = {661--672}
}
350 Lu, Z. & Burkhardt, H.
Fast Image Retrieval Based on Equal-average Equal-variance K-Nearest Neighbour Search 2006 Proceedings of International Conference on Pattern Recognition (ICPR 2006)   inproceedings  [DOI]

BibTeX:
@inproceedings{lu:bu:icpr06,
  author = {Zhe-Ming Lu and Hans Burkhardt},
  title = {Fast Image Retrieval Based on Equal-average Equal-variance K-Nearest Neighbour Search},
  booktitle = {{Proceedings of {I}nternational {C}onference on {P}attern {R}ecognition ({ICPR} 2006)}},
  publisher = {IEEE Computer Society, Washington DC},
  year = {2006},
  doi = {10.1109/ICPR.2006.546}
}
349 Reisert, M. & Burkhardt, H.
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion 2006 Proceedings of International Conference on Pattern Recognition (ICPR 2006), Hong Kong   inproceedings     [PDF]

BibTeX:
@inproceedings{re:bu:icpr06,
  author = {M. Reisert and H. Burkhardt},
  title = {Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion},
  booktitle = {{Proceedings of {I}nternational {C}onference on {P}attern {R}ecognition ({ICPR} 2006)}, Hong Kong},
  publisher = {LNCS, Springer},
  year = {2006}
}
348 Schulz, J., Schmidt, T., Ronneberger, O., Burkhardt, H., Pasternak, T., Dovzhenko, A. & Palme, K.
Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification (DAGM Award) 2006 Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany   inproceedings  [DOI]

    [PDF]

Abstract: Since biology and medicine apply increasingly fast volumetric imaging techniques and aim at extracting quantitative data from these images, the need for efficient image analysis techniques like detection and classification of 3D structures is obvious. A common approach is to extract local features, e.g. group integration has been used to gain invariance against rotation and translation. We extend these group integration features by including vectorial information and spherical harmonics descriptors. From our vectorial invariants we derive a very robust detector for spherical structures in low-quality images and show that it can be computed very fast. We apply these new invariants to 3D confocal laser-scanning microscope images of the Arabidopsis root tip and extract position and type of the cell nuclei. Then it is possible to build a biologically relevant, architectural model of the root tip.
BibTeX:
@inproceedings{schu_schm_ro_bu_dagm06,
  author = {J. Schulz and T. Schmidt and O. Ronneberger and H. Burkhardt and T. Pasternak and A. Dovzhenko and K. Palme},
  title = {Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification},
  booktitle = {Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany},
  publisher = {LNCS, Springer},
  year = {2006},
  note = {DAGM Award},
  doi = {10.1007/11861898_19}
}
347 Setia, L., Teynor, A., Halawani, A. & Burkhardt, H.
Radiograph Annotation using Local Relational Features 2006 Workshop on Cross Language Evaluation Forum (CLEF)
Alicante, Spain  
inproceedings     [PDF]

BibTeX:
@inproceedings{se:clef06,
  author = {Lokesh Setia and Alexandra Teynor and Alaa Halawani and Hans Burkhardt},
  title = {Radiograph Annotation using Local Relational Features},
  booktitle = {Workshop on Cross Language Evaluation Forum (CLEF)},
  address = {Alicante, Spain},
  year = {2006}
}
346 Setia, L., Teynor, A., Halawani, A. & Burkhardt, H.
Image Classification using Cluster-Cooccurrence Matrices of Local Relational Features 2006 Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval
Santa Barbara, CA, USA  
inproceedings     [PDF]

BibTeX:
@inproceedings{se:mir06,
  author = {Lokesh Setia and Alexandra Teynor and Alaa Halawani and Hans Burkhardt},
  title = {Image Classification using Cluster-Cooccurrence Matrices of Local Relational Features},
  booktitle = {Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval},
  address = {Santa Barbara, CA, USA},
  year = {2006}
}
345 Setia, L. & Burkhardt, H.
Feature Selection for Automatic Image Annotation 2006 Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany   inproceedings     [PDF]

BibTeX:
@inproceedings{se:dagm06,
  author = {Lokesh Setia and Hans Burkhardt},
  title = {Feature Selection for Automatic Image Annotation},
  booktitle = {Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany},
  publisher = {LNCS, Springer},
  year = {2006}
}
344 Teynor, A., Rahtu, E., Setia, L. & Burkhardt, H.
Properties of Patch Based Approaches for the Recognition of Visual Object Classes 2006 Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany   inproceedings     [PDF]

BibTeX:
@inproceedings{te:dagm06,
  author = {A. Teynor and E. Rahtu and L. Setia and H. Burkhardt},
  title = {Properties of Patch Based Approaches for the Recognition of Visual Object Classes},
  booktitle = {Proceedings of the 28th Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2006), Berlin, Germany},
  publisher = {LNCS, Springer},
  year = {2006}
}
343 Halawani, A., Teynor, A., Setia, L., Brunner, G. & Burkhardt, H.
Fundamentals and Applications of Image Retrieval: An overview 2006 Datenbank-Spektrum   article
BibTeX:
@article{hal:spec06,
  author = {A. Halawani and A. Teynor and L. Setia and G. Brunner and H. Burkhardt},
  title = {Fundamentals and Applications of Image Retrieval: {A}n overview},
  journal = {Datenbank-Spektrum},
  year = {2006},
  volume = {18},
  pages = {14-23}
}
342 Reisert, M.
Learning Equivariant Functions with Matrix Valued Kernels - Theory and Applications 2006 Institute: IIF-LMB, University Freiburg   techreport     [PDF]

BibTeX:
@techreport{re:report06_01,
  author = {M. Reisert},
  title = {Learning Equivariant Functions with Matrix Valued Kernels - Theory and Applications},
  institution = {{IIF-LMB}, University Freiburg},
  year = {2006},
  number = {01/06}
}
341 Lu, Z., Burkhardt, H. & Boehmer, S.

Zhuang, Y., Yang, S., Rui, Y. & He, Q. (Eds.)

Fast Content-Based Image Retrieval Based on Equal-Average K-Nearest-Neighbor Search Schemes. 2006 Advances in Multimedia Information Processing - PCM 2006, 7th Pacific Rim Conference on Multimedia, Hangzhou, China, November 2-4, 2006
Lecture Notes in Computer Science  
inproceedings  [DOI]

    [PDF]

BibTeX:
@inproceedings{lu_bu_bo_pcm06,
  author = {Zhe-Ming Lu and Hans Burkhardt and Sebastian Boehmer},
  title = {Fast Content-Based Image Retrieval Based on Equal-Average K-Nearest-Neighbor Search Schemes.},
  booktitle = {Advances in Multimedia Information Processing - PCM 2006, 7th Pacific Rim Conference on Multimedia, Hangzhou, China, November 2-4, 2006},
  editor = {Yueting Zhuang and Shiqiang Yang and Yong Rui and Qinming He},
  publisher = {Springer},
  year = {2006},
  series = {Lecture Notes in Computer Science},
  pages = {167-174},
  doi = {10.1007/11922162}
}
340 Reisert, M. & Burkhardt, H.
Second order 3D shape features: An exhaustive study. 2006 Computers & Graphics   article
BibTeX:
@article{re:bu:cg06,
  author = {Marco Reisert and Hans Burkhardt},
  title = {Second order 3D shape features: An exhaustive study.},
  journal = {Computers {\&} Graphics},
  year = {2006},
  volume = {30},
  number = {2},
  pages = {197-206}
}
339 Zheng, W., Lu, Z. & Burkhardt, H.
Color Image Retrieval Schemes using Index Histograms based on various Spatial-Domain Vector Quantizers 2006 International Journal of Innovative Computing, Information and Control   article     [PDF]

BibTeX:
@article{zh:lu:bu06,
  author = {Wei-Min Zheng and Zhe-Ming Lu and Hans Burkhardt},
  title = {Color Image Retrieval Schemes using Index Histograms based on various Spatial-Domain Vector Quantizers},
  journal = {International Journal of Innovative Computing, Information and Control},
  year = {2006},
  volume = {2},
  number = {6},
  pages = {1317-1326}
}
338 Cheng, D. & H.Burkhardt
Template-Based Bubble Identification and Tracking in Image Sequences 2006 International Journal of Thermal Sciences   article
BibTeX:
@article{ch:bu:ijts06,
  author = {D. Cheng and H.Burkhardt},
  title = {Template-Based Bubble Identification and Tracking in Image Sequences},
  journal = {International Journal of Thermal Sciences},
  year = {2006},
  volume = {45},
  pages = {321-330}
}
337 Peschke, K., Haasdonk, B., Ronneberger, O., Burkhardt, H., Rösch, P., Harz, M. & Popp, J.
Using transformation knowledge for the classification of Raman spectra of biological samples 2006 BioMed'06: Proceedings of the 24th IASTED international conference on Biomedical engineering
Anaheim, CA, USA  
inproceedings     [PDF]

Abstract: For the classification of biological samples based on Raman spectra, a robust classifier is necessary. This requirement is met by using Support Vector Machines (SVMs) enhanced by incorporating a-priori knowledge about pattern variations. In the described approach transformation knowledge is included directly into the classification process by using regularized tangent distance kernels. This approach replaces the standard Euclidean distance in the kernel function by the distance of the linear approximation (tangent spaces) of known transformation manifolds. These transformations represent first a global scaling of the spectral values referring to intensity variations, and second a baseline shift by Lagrange polynomials. Experiments are carried out and reported in this paper. The results show, that incorporating a-priori knowledge by tangent distances improves the classification rates substantially, while a lossy baseline correction becomes superfluous.
BibTeX:
@inproceedings{pe:ha:iasted06,
  author = {K.-D.~Peschke and B.~Haasdonk and O.~Ronneberger and H.~Burkhardt and P.~R\"osch and M.~Harz and J.~Popp},
  title = {Using transformation knowledge for the classification of Raman spectra of biological samples},
  booktitle = {BioMed'06: Proceedings of the 24th IASTED international conference on Biomedical engineering},
  publisher = {ACTA Press},
  address = {Anaheim, CA, USA},
  year = {2006},
  pages = {288--293}
}
336 Haasdonk, B. & Burkhardt, H.
Invariant Kernels for Pattern Analysis and Machine Learning 2005 Institute: IIF-LMB, Computer Science Department, University of Freiburg   techreport     [PDF]

BibTeX:
@techreport{ha:bu:05:report05_03,
  author = {Haasdonk, B. and Burkhardt, H.},
  title = {Invariant Kernels for Pattern Analysis and Machine Learning},
  institution = {IIF-LMB, Computer Science Department, University of Freiburg},
  year = {2005},
  number = {Internal Report 3/05}
}
335 Popp, J., Rösch, P., Petry, R., Hofer, S., Schüle, A., Schmauz, G., Lankers, M., Burkhardt, H., Ronneberger, O. & Peschke, K.
Verfahren und Vorrichtung zur Detektion und zum Identifizieren von Biopartikeln (AT 23.02.2004, OT 08.09.2005, 1.PT 12.10.2006) 2006 Institute: Deutsches Patentamt Deutsches Patent DE 10 2004 008 762 B4   techreport     [PDF]

Abstract: NOVELTY - Identifying bioparticles (I) comprises: locating an individual particle on a substrate (2) through irradiating at least an area of the substrate by means of light and measuring the light reflected by the particles; irradiating a particle with a laser and producing a localized Raman spectrum; and identifying (I) through comparison of the produced Raman spectrum with the Raman spectra produced by the majority of different particles. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a device (useful for carrying out the procedure) comprising a substrate (2), a detecting unit (3) (for locating individual particles on the substrate) and an identifying unit (4) (for identifying an individual particle by Raman spectroscopy). USE - The method is useful for identifying bioparticles (claimed) or biocontamination in various industries e.g. pharmaceuticals and food industry. The bioparticles include microorganisms such as bacteria. The method is useful in automated industries such as pharmaceutical production, food production and water supply and processing. ADVANTAGE - The identification of the biocontamination by the method and the device is simple, fast and reliable. The use of highly sensitive Raman-spectroscopy allows for specific identification of the bioparticles present in smaller quantities. The method does not require any sample preparation and culturing and the bioparticles are not destroyed during the detection and identification steps. The method is independent of growth phases and/or environmental influences. The time taken for identification is very less when compared to the conventional methods e.g. the time taken by the conventional microbiological methods for the identification takes place for about 3000 minutes, while this method requires only about 3 minutes for identification. By using this method in various automated industries e.g. food production, the cost and the risk due to product contamination is minimized.
BibTeX:
@techreport{po:patent05,
  author = {Popp, J. and R\"osch, P. and Petry, R. and Hofer, S. and Sch\"ule, A. and Schmauz, G. and Lankers, M. and Burkhardt, H. and Ronneberger, O. and Peschke, K.-D.},
  title = {Verfahren und {V}orrichtung zur {D}etektion und zum {I}dentifizieren von {B}iopartikeln},
  institution = {Deutsches {P}atentamt},
  year = {2006},
  number = {Deutsches Patent DE 10 2004 008 762 B4},
  note = {AT 23.02.2004, OT 08.09.2005, 1.PT 12.10.2006}
}
334 Schultz, E., Heimann, U., Scharring, S., Brandenburg, A., von Ehr, M., Sulz, G., Burkhardt, H., Ronneberger, O., Wang, Q., Koch, W., Dunkhorst, W., Lödding, H., Müller, W. & Breitfuss, G.
Extracting an Optical Finger-Print -- a New Approach to Single Particle Analysis 2005 98th Annual Conference and Exhibition of the Air and Waste Management Association
Minneapolis, Minnesota  
inproceedings     [PDF]

Abstract: A fully automated system has been developed for microscope-based single particle analysisby extracting optical finger-prints from individual particles in ambient air samples. For this purpose, light microscopy was developed towards an objective measuring technique byemploying a novel pattern recognition technique. Automated particle classification is basedon so-called grey scale invariants, extracted from microscopic images of translucent,fluorescent and dark field microscopy. This information was bundled to a feature vectorproviding a kind of finger print for every particle. In a first step this approach was used for anautomated recognition of allergen carriers such as pollen and fungal spores. A leave-one-outtest gave a recognition rate of about 95% for 26 for the most frequent pollen species in centralEurope. Because no pollen-specific code was used, the recognition software was alsoemployed for an automated recognition of fungal spores without any change. Six of the mostfrequent airborne fungal spore genera in Central Europe were classified with a meanrecognition rate of 93%. These results gave reason to a research project aiming at thedevelopment of a fully automated system. The instrument should combine (1) high-volumesampling of coarse particles >2.5 $m, (2) electrostatic precipitation of this fraction onto asurface suitable for optical analysis, (3) automatic preparation for microscopic single particleanalysis, (4) imaging by various microscopic techniques, e.g. transmitted, fluorescence anddark field microscopy, (5) feature extraction by grey scale invariants, (6) classification byself-learning Support Vector Machines and (7) hourly output of number concentration ofairborne pollen, fungal spores and other particles of interest. A first demonstrator is presentedin early 2005. First field tests are planned for the first half of 2005. A commercialised deviceshould be available as from 2007. The project is funded by the German Ministry of Educationand Research.
BibTeX:
@inproceedings{sch:awm05,
  author = {Eckart Schultz and Ulrich Heimann and Stefan Scharring and Albrecht Brandenburg and Markus von Ehr and Gerd Sulz and Hans Burkhardt and Olaf Ronneberger and Qing Wang and Wolfgang Koch and Wilhelm Dunkhorst and Hubert L\"odding and Werner M\"uller and Gernot Breitfuss},
  title = {Extracting an Optical Finger-Print -- a New Approach to Single Particle Analysis},
  booktitle = {98th Annual Conference and Exhibition of the Air and Waste Management Association},
  address = {Minneapolis, Minnesota},
  year = {2005}
}
333 Reisert, M. & H.Burkhardt
Averaging Similarity Weighted Group Representations for Pose Estimation 2005 Proceedings of Image and Vision Computing New Zealand 2005, IVCNZ'05   inproceedings     [PDF]

BibTeX:
@inproceedings{re:bu:ivcnz05,
  author = {M. Reisert and H.Burkhardt},
  title = {Averaging Similarity Weighted Group Representations for Pose Estimation},
  booktitle = {Proceedings of Image and Vision Computing New Zealand 2005, IVCNZ'05},
  year = {2005},
  pages = {438-443}
}
332 Li, H., Hartley, R. & Burkhardt, H.
Discrete Conformal Shape Representation and Reconstruction of 3D Mesh Objects 2005 Image Analysis and Processing - ICIAP 2005, 13th International Conference, Cagliari, Italy, September 6-8, 2005, Proceedings
Lecture Notes in Computer Science 3617  
inproceedings     [PDF]

BibTeX:
@inproceedings{hli:rha:bu:iciap05,
  author = {H. Li and R. Hartley and H. Burkhardt},
  title = {Discrete Conformal Shape Representation and Reconstruction of 3D Mesh Objects},
  booktitle = {Image Analysis and Processing - ICIAP 2005, 13th International Conference, Cagliari, Italy, September 6-8, 2005, Proceedings},
  publisher = {Springer},
  year = {2005},
  series = {Lecture Notes in Computer Science},
  volume = {3617},
  pages = {535-542}
}
331 Harz, M., Rösch, P., Peschke, K., Ronneberger, O., Burkhardt, H. & Popp, J.
Micro-Raman spectroscopical identification of bacterial cells of the genus Staphylococcus in dependence on their cultivation conditions 2005 The Analyst   article  [DOI]

Abstract: Microbial contamination is not only a medical problem, but also plays a large role in pharmaceutical clean room production and food processing technology. Therefore many techniques were developed to achieve differentiation and identification of microorganisms. Among these methods vibrational spectroscopic techniques (IR, Raman and SERS) are useful tools because of their rapidity and sensitivity. Recently we have shown that micro-Raman spectroscopy in combination with a support vector machine is an extremely capable approach for a fast and reliable, non-destructive online identification of single bacteria belonging to different genera. In order to simulate different environmental conditions we analyzed in this contribution different Staphylococcus strains with varying cultivation conditions in order to evaluate our method with a reliable dataset. First, micro-Raman spectra of the bulk material and single bacterial cells that were grown under the same conditions were recorded and used separately for a distinct chemotaxonomic classification of the strains. Furthermore Raman spectra were recorded from single bacterial cells that were cultured under various conditions to study the influence of cultivation on the discrimination ability. This dataset was analyzed both with a hierarchical cluster analysis (HCA) and a support vector machine (SVM).
BibTeX:
@article{harz:roe:pe:ro:bu:pop:analyst05,
  author = {M.~Harz and P.~R\"osch and K.-D.~Peschke and O.~Ronneberger and H.~Burkhardt and J.~Popp},
  title = {Micro-Raman spectroscopical identification of bacterial cells of the genus Staphylococcus in dependence on their cultivation conditions},
  journal = {The Analyst},
  year = {2005},
  volume = {130},
  number = {11},
  pages = {1543-1550},
  doi = {10.1039/b507715j}
}
330 Zhe-Ming Lu, S. L. & Burkhardt, H.
A Content-Based Image Retrieval Scheme in JPEG Compressed Domain 2006 International Journal of Innovative Computing, Information and Control   article     [PDF]

BibTeX:
@article{lu:li:bu:ijic05,
  author = {Zhe-Ming Lu, Su-Zhi Li and Hans Burkhardt},
  title = {A Content-Based Image Retrieval Scheme in JPEG Compressed Domain},
  journal = {International Journal of Innovative Computing, Information and Control},
  year = {2006},
  volume = {2},
  number = {4},
  pages = {831-839}
}
329 Lu, Z. & Burkhardt, H.
Colour Image Retrieval Based on DCT-Domain Vector Quantisation Index Histograms 2005 IEE Electronics Letters   article     [PDF]

BibTeX:
@article{lu:bu:iee_el05,
  author = {Z.-M. Lu and H. Burkhardt},
  title = {Colour Image Retrieval Based on DCT-Domain Vector Quantisation Index Histograms},
  journal = {IEE Electronics Letters},
  year = {2005},
  volume = {41},
  number = {17},
  pages = {956-957}
}
328 Haasdonk, B.
Transformation Knowledge in Pattern Analysis with Kernel Methods. 2005 School: Albert-Ludwigs-Universität Freiburg   phdthesis
BibTeX:
@phdthesis{ha:diss,
  author = {B. Haasdonk},
  title = {Transformation {K}nowledge in {P}attern {A}nalysis with {K}ernel {M}ethods.},
  school = {Albert-Ludwigs-Universit{\"a}t Freiburg},
  year = {2005}
}
327 Lu, Z., Pei, H. & Burkhardt, H.
A Spatial/Frequency Hybrid Vector Quantizer Based on A Classification in the DCT Domain 2005 International Conference on Computational Intelligence and Security
Xi'an, China  
inproceedings  [DOI]

BibTeX:
@inproceedings{lu:pei:bu:iccis05,
  author = {Z.M. Lu and H. Pei and H. Burkhardt},
  title = {A Spatial/Frequency Hybrid Vector Quantizer Based on A Classification in the DCT Domain},
  booktitle = {International Conference on Computational Intelligence and Security},
  address = {Xi'an, China},
  year = {2005},
  doi = {10.1007/11596981_119}
}
326 Lu, Z., Skibbe, H. & Burkhardt, H.
Image Retrieval Based on a Multipurpose Watermarking Scheme 2005 International Workshop on Intelligent Information Hiding and Multimedia Signal Processing
Melbourne, Australia  
inproceedings     [PDF]

BibTeX:
@inproceedings{lu:sk:bu:iihmsp05,
  author = {Z.M. Lu and H. Skibbe and H. Burkhardt},
  title = {Image Retrieval Based on a Multipurpose Watermarking Scheme},
  booktitle = {International Workshop on Intelligent Information Hiding and Multimedia Signal Processing},
  address = {Melbourne, Australia},
  year = {2005}
}
325 Teynor, A. & W. Müller, W. K.
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models 2005 In Proceedings of Conference on Visual Information Retrieval (VISUAL2005)
Amsterdam, The Netherlands  
inproceedings
BibTeX:
@inproceedings{te:mue:kow:visual05,
  author = {A. Teynor and W. M\"uller, W. Kowarschik},
  title = {Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models},
  booktitle = {In Proceedings of Conference on Visual Information Retrieval (VISUAL2005)},
  address = {Amsterdam, The Netherlands},
  year = {2005}
}
324 Mei, L., Brunner, G., Setia, L. & Burkhardt, H.
Kernel Biased Discriminant Analysis using Histogram Intersection Kernel for Content-Based Image Retrieval 2005 Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'05)
LNCS Pattern Recognition
Brisbane Queensland, Australia  
inproceedings     [PDF]

BibTeX:
@inproceedings{mei:br:se:bu:ideal05,
  author = {L. Mei and G. Brunner and L. Setia and H. Burkhardt},
  title = {Kernel Biased Discriminant Analysis using Histogram Intersection Kernel for Content-Based Image Retrieval},
  booktitle = {Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'05)},
  publisher = {Springer},
  address = {Brisbane Queensland, Australia},
  year = {2005},
  series = {LNCS Pattern Recognition},
  number = {3578},
  pages = {63-70}
}
323 Fehr, J., Ronneberger, O., Kurz, H. & Burkhardt, H.

Kropatsch, W. & Sablating, R. (Eds.)

Self-Learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data using Voxel-Wise Gray Scale Invariants 2005 Pattern Recognition - Proc. of the 27th DAGM Symposium, Vienna, Austria   inproceedings  [DOI]

    [PDF]

Abstract: We introduce and discuss a new method for segmentation and classification of cells from 3D tissue probes. The anisotropic 3D volumetric data of fluorescent marked cell nuclei is recorded by a confocal laser scanning microscope (LSM). Voxel-wise gray scale features (see accompaning paper [1][2]) ), invariant towards 3D rotation of its neighborhood, are extracted from the original data by integrating over the 3D rotation group with non-linear kernels.

In an interactive process, support-vector machine models are trained for each cell type using user relevance feedback. With this reference database at hand, segmentation and classification can be achieved in one step, simply by classifying each voxel and performing a connected component labelling, automatically without further human interaction. This general approach easily allows adoption of other cell types or tissue structures just by adding new training samples and re-training the model. Experiments with datasets from chicken chorioallantoic membrane show encouraging results.

BibTeX:
@inproceedings{fe:ro:ku:bu:dagm05,
  author = {J. Fehr and O. Ronneberger and H. Kurz and H. Burkhardt},
  title = {Self-Learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data using Voxel-Wise Gray Scale Invariants},
  booktitle = {Pattern Recognition - Proc. of the 27th {DAGM} Symposium, Vienna, Austria},
  editor = {W. Kropatsch and R. Sablating},
  publisher = {Springer, Berlin},
  year = {2005},
  doi = {10.1007/11550518_47}
}
322 Ronneberger, O., Fehr, J. & Burkhardt, H.
Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification (DAGM Award) 2005 Pattern Recognition - Proc. of the 27th DAGM Symposium, Vienna, Austria   inproceedings  [DOI]

    [PDF]

Abstract: 3D volumetric microscopical techniques (e.g. confocal laser scanning microscopy) have become a standard tool in biomedical applications to record three-dimensional objects with highly anisotropic morphology. To analyze these data in high-throughput experiments, reliable, easy to use and generally applicable pattern recognition tools are required. The major problem of nearly all existing applications is their high specialization to exact one problem, and the their time-consuming adaption to new problems, that has to be done by pattern recognition experts. We therefore search for a tool that can be adapted to new problems just by an interactive training process. Our main idea is therefore to combine object segmentation and recognition into one step by computing voxel-wise gray scale invariants (using nonlinear kernel functions and Haar-integration) on the volumetric multi-channel data set and classify each voxel using support vector machines.

After the selection of an appropriate set of nonlinear kernel functions (which allows to integrate previous knowledge, but still needs some expertise), this approach allows a biologist to adapt the recognition system for his problem just by interactively selecting several voxels as training points for each class of objects. Based on these points the classification result is computed and the biologist may refine it by selecting additional training points until the result meets his needs. In this paper we present the theoretical background and a fast approximative algorithm using FFTs for computing Haar-integrals over the very rich class of nonlinear 3-point-kernel functions. The approximation still fulfils the invariance conditions. The experimental application for the recognition of different cell cores of the chorioallantoic membrane is presented in the accompanying paper [1] and in the technical report [2]

BibTeX:
@inproceedings{ro:fe:bu:dagm05,
  author = {O. Ronneberger and J. Fehr and H. Burkhardt},
  title = {Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification},
  booktitle = {Pattern Recognition - Proc. of the 27th {DAGM} Symposium, Vienna, Austria},
  publisher = {Springer, Berlin},
  year = {2005},
  note = {DAGM Award},
  doi = {10.1007/11550518_11}
}
321 Brunner, G. & Burkhardt, H.
Structure Features for Content-Based Image Retrieval 2005 Pattern Recognition - Proc. of the 27th DAGM Symposium, Vienna, Austria   inproceedings     [PDF]

BibTeX:
@inproceedings{br:bu:dagm05,
  author = {G. Brunner and H. Burkhardt},
  title = {Structure Features for Content-Based Image Retrieval},
  booktitle = {Pattern Recognition - Proc. of the 27th {DAGM} Symposium, Vienna, Austria},
  publisher = {Springer, Berlin},
  year = {2005}
}
320 Bahlmann, C.
Advanced Sequence Classification Techniques Applied to Online Handwriting Recognition. 2005 School: Albert-Ludwigs-Universität Freiburg   phdthesis     [PDF]

BibTeX:
@phdthesis{ba:diss,
  author = {Bahlmann, C.},
  title = {Advanced Sequence Classification Techniques Applied to Online Handwriting Recognition.},
  school = {Albert-Ludwigs-Universit{\"a}t Freiburg},
  year = {2005}
}
319 Ronneberger, O., Fehr, J. & Burkhardt, H.
Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification -- Theory and Application to Cell-Nuclei in 3D Volumetric Data 2005 Institute: IIF-LMB, University Freiburg   techreport     [PDF]

Abstract: 3D volumetric microscopical techniques (e.g. confocal laser scanning microscopy) have becomea standard tool in biomedical applications to record three-dimensional objects with highlyanisotropic morphology. To analyze this data in high-throughput experiments, reliable, easy touse and generally applicable pattern recognition tools are required. The major problem of nearlyall existing applications is their high specialization to exact one problem, and the their timeconsumingadaption to new problems, that has to be done by pattern recognition experts. Wetherefore search for a tool that can be adapted to new problems just by an interactive trainingprocess. Our main idea is therefore to combine object segmentation and recognition into onestep by computing voxel-wise gray scale invariants (using nonlinear kernel functions and Haarintegration)on the volumetric multi-channel data set and classify each voxel using support vectormachines.After the selection of an appropriate set of nonlinear kernel functions (which allows to integrateprevious knowledge, but still needs some expertise), this approach allows a biologist to adapt therecognition system for his problem just by interactively selecting several voxels as training pointsfor each class of objects. Basing on these points the classification result is computed and thebiologist may refine it by selecting additional training points until the result meets his needs.In this paper we present the theoretical background and a fast approximative but still perfectlyrotation invariant algorithm using FFTs for computing Haar-integrals over the very rich class ofnonlinear 3-point-kernel functions. In the second part we present some experimental results forthe recognition of different cell nuclei of the chorioallantoic membrane.
BibTeX:
@techreport{ro:fe:bu:report05_02,
  author = {O. Ronneberger and J. Fehr and H. Burkhardt},
  title = {Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification -- Theory and Application to Cell-Nuclei in 3D Volumetric Data},
  institution = {{IIF-LMB}, University Freiburg},
  year = {2005},
  number = {2/05}
}
318 M.Reisert
A New Technique For Matching in Large Databases 2005 Institute: IIF-LMB, University Freiburg   techreport     [PDF]

BibTeX:
@techreport{re:report05_01,
  author = {M.Reisert},
  title = {{A} {N}ew {T}echnique {F}or {M}atching in {L}arge {D}atabases},
  institution = {{IIF-LMB}, University Freiburg},
  year = {2005},
  number = {1/05}
}
317 Haasdonk, B., Vossen, A. & Burkhardt, H.
Invariance in Kernel Methods by Haar-Integration Kernels 2005 Proceedings of the 14th Scandinavian Conference on Image Analysis (SCIA 2005)   inproceedings     [PDF]

BibTeX:
@inproceedings{ha:vo:bu:scia05,
  author = {B. Haasdonk and A. Vossen and H. Burkhardt},
  title = {Invariance in Kernel Methods by {H}aar-Integration Kernels},
  booktitle = {Proceedings of the 14th Scandinavian Conference on Image Analysis (SCIA 2005)},
  publisher = {Springer},
  year = {2005},
  pages = {841-851}
}
316 Rösch, P., Harz, M., Peschke, K., Ronneberger, O., Burkhardt, H., Motzkus, H., Lankers, M., Hofer, S., Thiele, H. & Popp, J.
Chemotaxonomic Identification of Single Bacteria by Micro-Raman Spectroscopy: Application to Clean-Room-Relevant Biological Contaminations 2005 Applied and Environmental Microbiology   article  [DOI]

    [PDF]

Abstract: Microorganisms, such as bacteria, which might be present as contamination inside an industrial food or pharmaceutical clean room process need to be identified on short time scales in order to minimize possible health hazards as well as production downtimes causing financial deficits. Here we describe the first results of single-particle micro-Raman measurements in combination with a classification method, the so-called support vector machine technique, allowing for a fast, reliable, and nondestructive online identification method for single bacteria.
BibTeX:
@article{roesch:ha:pe:etal:aem05,
  author = {P. R\"osch and M. Harz and K.-D. Peschke and O. Ronneberger and H. Burkhardt and H.-W. Motzkus and M. Lankers and S. Hofer and H. Thiele and J. Popp},
  title = {Chemotaxonomic Identification of Single Bacteria by Micro-Raman Spectroscopy: Application to Clean-Room-Relevant Biological Contaminations},
  journal = {Applied and Environmental Microbiology},
  year = {2005},
  volume = {71},
  pages = {1626-1637},
  doi = {10.1128/AEM.71.3.1626-1637.2005}
}
315 Wolf, J., Burgard, W. & Burkhardt, H.
Roburst Vision-Based Localization by Combining an Image Retrieval System with Monte Carlo Localization 2005 IEEE Trans.on Robotics   article
BibTeX:
@article{wo:burg:bu:robotics05,
  author = { J. Wolf and W. Burgard and H. Burkhardt},
  title = {Roburst Vision-Based Localization by Combining an Image Retrieval System with Monte Carlo Localization},
  journal = {IEEE Trans.on Robotics},
  year = {2005},
  volume = {21},
  number = {2}
}
314 Haasdonk, B.
Feature Space Interpretation of SVMs with Indefinite Kernels 2005 IEEE Trans. Pattern Anal. and Mach. Intell.   article     [PDF]

BibTeX:
@article{ha:tpami05,
  author = {B. Haasdonk},
  title = {Feature Space Interpretation of {SVM}s with Indefinite Kernels},
  journal = {IEEE Trans. Pattern Anal. and Mach. Intell.},
  year = {2005},
  volume = {27},
  number = {4},
  pages = {482-492}
}
313 Brunner, G. & Burkhardt, H.
Building Classification of Terrestrial Images by Generic Geometric Hierarchical Cluster Analysis Features 2005 IAPR Workshop on Machine Vision Applications (MVA2005)
Tsukuba Science City, Japan  
inproceedings     [PDF]

BibTeX:
@inproceedings{br:bu:mva05,
  author = {G. Brunner and H. Burkhardt},
  title = {Building Classification of Terrestrial Images by Generic Geometric Hierarchical Cluster Analysis Features},
  booktitle = {IAPR Workshop on Machine Vision Applications (MVA2005)},
  address = {Tsukuba Science City, Japan},
  year = {2005},
  pages = {136-139}
}
312 Setia, L., Ick, J. & Burkhardt, H.
SVM-based Relevance Feedback in Image Retrieval using Invariant Feature Histograms 2005 IAPR Workshop on Machine Vision Applications (MVA2005)
Tsukuba Science City, Japan  
inproceedings     [PDF]

BibTeX:
@inproceedings{se:ick:bu:mva05,
  author = {L. Setia and J. Ick and H. Burkhardt},
  title = {SVM-based Relevance Feedback in Image Retrieval using Invariant Feature Histograms},
  booktitle = {IAPR Workshop on Machine Vision Applications (MVA2005)},
  address = {Tsukuba Science City, Japan},
  year = {2005},
  pages = {542-545}
}
311 Halawani, A. & Burkhardt, H.
On using Histograms of Local Invariant Features for Image Retrieval 2005 IAPR Workshop on Machine Vision Applications (MVA2005)
Tsukuba Science City, Japan  
inproceedings     [PDF]

BibTeX:
@inproceedings{hal:bu:mva05,
  author = {A. Halawani and H. Burkhardt},
  title = {On using Histograms of Local Invariant Features for Image Retrieval},
  booktitle = {IAPR Workshop on Machine Vision Applications (MVA2005)},
  address = {Tsukuba Science City, Japan},
  year = {2005},
  pages = {538-541}
}
310 Katsoulas, D.
Robust Recovery of Piled Box-Like Objects in Range Images. 2004 School: Albert-Ludwigs-Universität Freiburg   phdthesis     [PDF]

BibTeX:
@phdthesis{ka:diss,
  author = {D. Katsoulas},
  title = {Robust Recovery of Piled Box-Like Objects in Range Images.},
  school = {Albert-Ludwigs-Universit{\"a}t Freiburg},
  year = {2004}
}
309 Schael, M.
Methoden zur Konstruktion invarianter Merkmale fr die Texturanalyse. 2004 School: Albert-Ludwigs-Universität Freiburg   phdthesis     [PDF]

BibTeX:
@phdthesis{scha:diss,
  author = {M. Schael},
  title = {Methoden zur Konstruktion invarianter Merkmale fr die Texturanalyse.},
  school = {Albert-Ludwigs-Universit{\"a}t Freiburg},
  year = {2004}
}
308 Burkhardt, H., Reisert, M. & Li, H.

Rasmussen, C. E., Bülthoff, H. H., Giese, M. A. & Schölkopf, B. (Eds.)

Invariants for Discrete Structures - An Extension of Haar Integrals over Transformation Groups of Dirac Delta Functions 2004 Pattern Recognition - Pr