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- Info
Fabian Timm
erstellt von Thomas Klähn
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zuletzt verändert:
11.03.2010 17:03
Publikationen
Fabian Timm
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[1]
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Fabian Timm and Erhardt Barth.
Novelty detection for the inspection of light-emitting diodes.
Expert Systems with Applications, 39(3):3413-3422, 2012.
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[2]
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Sascha Klement, Fabian Timm, and Erhardt Barth.
Illumination correction for image stitching.
In Proceedings of the Int. Conference on Imaging Theory and
Applications (IMAGAPP), volume 1, pages 81-86, Algarve, Portugal, 2011.
INSTICC.
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.pdf ]
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[3]
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Fabian Timm and Erhardt Barth.
Non-parametric texture defect detection using Weibull features.
In Image Processing: Machine Vision Applications IV, San
Francisco, USA, 2011. IS&T/SPIE Electronic Imaging.
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.pdf ]
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[4]
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Fabian Timm and Erhardt Barth.
Accurate, fast, and robust centre localisation for images of
semiconductor components.
In Image Processing: Machine Vision Applications IV, San
Francisco, USA, 2011. IS&T/SPIE Electronic Imaging.
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.pdf ]
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[5]
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Fabian Timm and Erhardt Barth.
Accurate eye centre localisation by means of gradients.
In Proceedings of the Int. Conference on Computer Theory and
Applications (VISAPP), volume 1, pages 125-130, Algarve, Portugal, 2011.
INSTICC.
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[6]
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Fabian Timm and Thomas Martinetz.
Statistical Fourier descriptors for defect image classification.
In Proceedings of the 20th Int. Conference on Pattern
Recognition (ICPR), Istanbul, Turkey, 2010. IEEE Computer Society Press.
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.pdf ]
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[7]
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Fabian Timm, Thomas Martinetz, and Erhardt Barth.
Optical inspection of welding seams.
In Computer Vision, Imaging and Computer Graphics: Theory and
Applications, Revised Selected Papers, volume 68, pages 269-282. Springer
Series Communications in Computer Science and Information Science, 2010.
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.pdf ]
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[8]
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Fabian Timm, Sascha Klement, Thomas Martinetz, and Erhardt Barth.
Welding inspection using novel specularity features and a one-class
SVM.
In Proceedings of the Int. Conference on Computer Theory and
Applications (VISAPP), volume 1, pages 146-153, Lisboa, Portugal, 2009.
INSTICC.
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[9]
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Kai Labusch, Fabian Timm, and Thomas Martinetz.
Simple incremental one-class Support Vector classification.
In Gerhard Rigoll, editor, Pattern Recognition - Proceedings of
the DAGM, Lecture Notes in Computer Science, pages 21-30, 2008.
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.pdf ]
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[10]
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Fabian Timm, Sascha Klement, and Thomas Martinetz.
Fast model selection for MaxMinOver-based training of Support
Vector Machines.
In Proceedings of the 19th Int. Conference on Pattern
Recognition (ICPR), Tampa, Florida, USA, 2008. IEEE Computer Society
Press.
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.pdf ]
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[11]
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Fabian Timm.
Methoden zur optischen Qualitätskontrolle. Anwendung in der
Produktion von Xenon-Lampen.
Diploma thesis, Universität zu Lübeck, 2006.
Full version: Please contact the author via email.
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